Top LearnLM Alternatives

Completely managed machine learning tools facilitate the rapid construction, deployment, and scaling of ML models tailored for various applications. Vertex AI Workbench seamlessly integrates with BigQuery Dataproc and Spark, enabling users to create and execute ML models directly within BigQuery using standard SQL queries or spreadsheets; alternatively, datasets can be exported from BigQuery to Vertex AI Workbench for model execution. Additionally, Vertex Data Labeling offers a solution for generating precise labels that enhance data collection accuracy. Furthermore, the Vertex AI Agent Builder allows developers to craft and launch sophisticated generative AI applications suitable for enterprise needs, supporting both no-code and code-based development. This versatility enables users to build AI agents by using natural language prompts or by connecting to frameworks like LangChain and LlamaIndex, thereby broadening the scope of AI application development.

Google AI Studio serves as an intuitive, web-based platform that simplifies the process of engaging with advanced AI technologies. It functions as an essential gateway for anyone looking to delve into the forefront of AI advancements, transforming intricate workflows into manageable tasks suitable for developers with varying expertise. The platform grants effortless access to Google's sophisticated Gemini AI models, fostering an environment ripe for collaboration and innovation in the creation of next-generation applications. Equipped with tools that enhance prompt creation and model interaction, developers are empowered to swiftly refine and integrate sophisticated AI features into their work. Its versatility ensures that a broad spectrum of use cases and AI solutions can be explored without being hindered by technical challenges. Additionally, Google AI Studio transcends mere experimentation by promoting a thorough understanding of model dynamics, enabling users to optimize and elevate AI effectiveness. By offering a holistic suite of capabilities, this platform not only unlocks the vast potential of AI but also drives progress and boosts productivity across diverse sectors by simplifying the development process. Ultimately, it allows users to concentrate on crafting meaningful solutions, accelerating their journey from concept to execution.

Gemini-Exp-1206 represents a cutting-edge experimental AI model currently available in preview exclusively for Gemini Advanced subscribers. This innovative model showcases enhanced abilities in managing complex tasks such as programming, performing mathematical calculations, logical reasoning, and following detailed instructions. Its main goal is to provide users with superior assistance in overcoming intricate challenges. Since this is a preliminary version, users might encounter some features that may not function flawlessly, and the model lacks real-time data access. Users can access Gemini-Exp-1206 through the Gemini model drop-down menu on both desktop and mobile web platforms, enabling them to explore its advanced features directly. Overall, this model aims to revolutionize the way users interact with AI technology.

We are thrilled to announce the arrival of Jurassic-2, the latest version of AI21 Studio's foundation models, which marks a significant leap in the realm of artificial intelligence with its outstanding quality and groundbreaking capabilities. Alongside this, we are also launching our customized APIs that provide smooth reading and writing functionalities, outshining those of our competitors. At AI21 Studio, our goal is to enable developers and businesses to tap into the potential of reading and writing AI, thereby fostering the development of meaningful real-world applications. The launch of Jurassic-2 and our Task-Specific APIs today marks an important milestone, allowing for the effective integration of generative AI in production environments. Commonly referred to as J2, Jurassic-2 displays impressive improvements in quality, such as enhanced zero-shot instruction-following, reduced latency, and support for various languages. Additionally, our dedicated APIs are crafted to equip developers with superior tools that excel in performing targeted reading and writing tasks with ease, ensuring you are well-prepared to achieve success in your endeavors. Collectively, these innovations redefine the standards in the AI field, opening avenues for creative solutions and inspiring future developments. As we step into this new era of AI capabilities, the possibilities for innovation are truly limitless.

The program significantly enhances the professional abilities of tutors by providing them with insights into their individual characteristics and the dynamics within their classrooms, as well as offering practical advice on lesson planning and customizing their teaching strategies to suit various groups for optimal learning outcomes. In addition to this, Skilful aids training organizations in fine-tuning and personalizing the educational experience, which increases learner engagement and retention, while also ensuring that the educational benefits extend beyond just mastering the subject matter. Each tutor brings their distinct personality and life experiences to their teaching, greatly affecting their interactions with students. It is crucial to comprehend the different dynamics that exist within diverse learner groups to effectively tailor lesson plans and manage these groups. Moreover, tutors gain essential insights into their natural teaching styles, learning techniques to adjust their approaches for better connections with students. This support also emphasizes the importance of building strong relationships with individual learners, facilitating their journey toward reaching their full potential. Ultimately, the aim is to foster a vibrant educational atmosphere that promotes growth and development for both tutors and students, creating a symbiotic learning experience that benefits all involved. In doing so, the program not only enhances educational practices but also cultivates a community of lifelong learners.

Expand your educational endeavors and embrace growth with BlezGo, a platform that allows you to simultaneously manage three unique business models within one comprehensive solution. This innovative tool enables you to offer a variety of learning experiences, including online courses, personalized tutoring sessions, and live classes all hosted on your own website. By leveraging these diverse teaching formats, you can create a customized, white-labeled educational environment that showcases your individual expertise and background. You can effortlessly design an attractive course website, enabling you to share your knowledge and gain recognition for your efforts. Students have the advantage of choosing their preferred learning style, benefiting from one-on-one instruction with an expert of their choice, while you retain control over scheduling, payments, and the selection process for their educational partners. Furthermore, you have the opportunity to promote both individual and group classes to a broad audience, concentrating on popular topics like machine learning and big data. This multifaceted approach is perfect for training both your internal teams and outside learners, encouraging a culture that values continuous growth and knowledge acquisition. With BlezGo, the possibilities for advancing your educational business are boundless, empowering you to reach new heights in the realm of online education. The future of learning is bright with such a versatile platform at your fingertips.

We are thrilled to unveil Phi-2, a language model boasting 2.7 billion parameters that demonstrates exceptional reasoning and language understanding, achieving outstanding results when compared to other base models with fewer than 13 billion parameters. In rigorous benchmark tests, Phi-2 not only competes with but frequently outperforms larger models that are up to 25 times its size, a remarkable achievement driven by significant advancements in model scaling and careful training data selection. Thanks to its streamlined architecture, Phi-2 is an invaluable asset for researchers focused on mechanistic interpretability, improving safety protocols, or experimenting with fine-tuning across a diverse array of tasks. To foster further research and innovation in the realm of language modeling, Phi-2 has been incorporated into the Azure AI Studio model catalog, promoting collaboration and development within the research community. Researchers can utilize this powerful model to discover new insights and expand the frontiers of language technology, ultimately paving the way for future advancements in the field. The integration of Phi-2 into such a prominent platform signifies a commitment to enhancing collaborative efforts and driving progress in language processing capabilities.

Recent advancements in natural language processing, understanding, and generation have largely stemmed from the evolution of large language models. This study introduces a system that utilizes Ascend 910 AI processors alongside the MindSpore framework to train a language model that surpasses one trillion parameters, achieving a total of 1.085 trillion, designated as PanGu-{\Sigma}. This model builds upon the foundation laid by PanGu-{\alpha} by transforming the traditional dense Transformer architecture into a sparse configuration via a technique called Random Routed Experts (RRE). By leveraging an extensive dataset comprising 329 billion tokens, the model was successfully trained with a method known as Expert Computation and Storage Separation (ECSS), which led to an impressive 6.3-fold increase in training throughput through the application of heterogeneous computing. Experimental results revealed that PanGu-{\Sigma} sets a new standard in zero-shot learning for various downstream tasks in Chinese NLP, highlighting its significant potential for progressing the field. This breakthrough not only represents a considerable enhancement in the capabilities of language models but also underscores the importance of creative training methodologies and structural innovations in shaping future developments. As such, this research paves the way for further exploration into improving language model efficiency and effectiveness.

VideoPoet is a groundbreaking modeling approach that enables any autoregressive language model or large language model (LLM) to function as a powerful video generator. This technique consists of several simple components. An autoregressive language model is trained to understand various modalities—including video, image, audio, and text—allowing it to predict the next video or audio token in a given sequence. The training structure for the LLM includes diverse multimodal generative learning objectives, which encompass tasks like text-to-video, text-to-image, image-to-video, video frame continuation, inpainting and outpainting of videos, video stylization, and video-to-audio conversion. Moreover, these tasks can be integrated to improve the model's zero-shot capabilities. This clear and effective methodology illustrates that language models can not only generate but also edit videos while maintaining impressive temporal coherence, highlighting their potential for sophisticated multimedia applications. Consequently, VideoPoet paves the way for a plethora of new opportunities in creative expression and automated content development, expanding the boundaries of how we produce and interact with digital media.

Our sophisticated multimodal assistant has been thoughtfully designed with an emphasis on privacy, security, and operational efficiency. Yasa is equipped to analyze a range of content types, such as text, images, videos, and tables, with ambitions to broaden its capabilities in the future. It serves as a valuable resource for generating ideas for creative endeavors, addressing basic inquiries, and extracting meaningful insights from your proprietary data. With only a few simple commands, you can create, train, compress, or implement it on your own infrastructure. Our unique algorithms allow for customization of the model to suit your individual data and needs. We employ cutting-edge methods that include retrieval, fine-tuning, self-supervised instruction tuning, and reinforcement learning to enhance our model, ensuring it aligns effectively with your specific operational demands. This approach not only improves user satisfaction but also fosters productivity and innovation in a rapidly evolving landscape. As we continue to refine our technology, we remain committed to providing solutions that empower users to achieve their goals.

Rather than simply receiving information from the teacher, both the student and the teacher engage in a dynamic conversation, similar to a customized tutoring experience made better through artificial intelligence. Kyron’s AI quickly identifies and clarifies any misconceptions the learner may have, facilitating a more effective educational process. Utilizing the frameworks provided by instructors, Kyron’s AI guides discussions that cater to each student's individual requirements. Moreover, Kyron's adaptive AI continuously assesses comprehension levels and relays pertinent information to educators and educational institutions. By tailoring its assistance to fill each learner's specific knowledge gaps, Kyron’s AI creates a highly responsive educational atmosphere. When students actively participate in a lesson and respond to questions, Kyron's AI analyzes that input and offers a related video segment that enhances their learning experience even further. This methodology not only encourages immediate understanding but also aids in the long-term retention of the material being taught, ultimately enriching the overall educational journey for every student involved. Additionally, by integrating various learning modalities, Kyron’s AI aims to create a more holistic approach to education that recognizes the diverse needs of learners.

Synthesis Tutor is an advanced AI-powered educational assistant designed to enhance critical thinking, creativity, and problem-solving skills in students through interactive and individualized conversations. Unlike traditional tutoring approaches that focus primarily on rote memorization, Synthesis Tutor encourages active engagement by prompting students to inquire, explore topics in depth, and foster independent reasoning. Employing state-of-the-art AI techniques, it customizes its methods to fit each student’s distinct learning style and pace, delivering personalized explanations, real-time feedback, and systematic guidance for tackling challenges. This innovative resource aims to spark curiosity and promote intellectual growth, making it an excellent option for learners wishing to go beyond standard classroom education. Available at any time, Synthesis Tutor provides support for a range of subjects, whether students are grappling with complex math problems, exploring intricate scientific theories, or brainstorming innovative ideas, thereby empowering them to take control of their learning experience. In essence, this revolutionary educational assistant not only supports academic success but also nurtures a lasting passion for knowledge and exploration. By fostering such an environment, Synthesis Tutor helps students to develop skills that will benefit them far beyond their current studies.

Elevate your online teaching and course management with VEDAMO's innovative Virtual Classroom and Learning Management System, tailored specifically for educators. This versatile platform empowers you to conduct live online classes from virtually any location, allowing you to create your very own online academy where you can manage courses, content, and student interactions effortlessly. You can easily blend traditional face-to-face tutoring with online instruction, providing the adaptability needed to meet diverse teaching approaches. VEDAMO’s affordably priced cloud-based solutions are trusted by a broad spectrum of users, ranging from independent tutors to small tutoring agencies, vocational institutions, early childhood centers, schools, universities, and corporate training programs. Enjoy a vibrant live video conferencing setup that permits the creation of an unlimited number of interactive online sessions at any time, accommodating up to 25 students concurrently in each session, significantly enhancing your teaching potential. This multifaceted platform not only addresses a variety of educational demands but also promotes a captivating and interactive learning atmosphere that benefits both educators and learners alike. By utilizing VEDAMO, you can transform the educational experience for your students, ensuring that every lesson is engaging and effective.

Gemini 2.0 Pro represents the forefront of advancements from Google DeepMind in artificial intelligence, designed to excel in complex tasks such as programming and sophisticated problem-solving. Currently in the phase of experimental testing, this model features an exceptional context window of two million tokens, which facilitates the effective processing of large data volumes. A standout feature is its seamless integration with external tools like Google Search and coding platforms, significantly enhancing its ability to provide accurate and comprehensive responses. This groundbreaking model marks a significant progression in the field of AI, providing both developers and users with a powerful resource for tackling challenging issues. Additionally, its diverse potential applications across multiple sectors highlight its adaptability and significance in the rapidly changing AI landscape. With such capabilities, Gemini 2.0 Pro is poised to redefine how we approach complex tasks in various domains.

ClassX is an all-in-one educational platform that provides engaging and interactive learning tools for both students and educators. It offers a variety of lessons, from basic phonics and alphabet learning to advanced AI conversation practice and essay writing guides. With AI-driven features like grammar correction, history figure interviews, and homework assistance, ClassX helps students build their knowledge and skills. Teachers can also benefit from AI tools that streamline lesson planning, grading, and quiz creation, enhancing both teaching and learning experiences.

Claude Pro is an advanced language model designed to handle complex tasks with a friendly and engaging demeanor. Built on a foundation of extensive, high-quality data, it excels at understanding context, identifying nuanced differences, and producing well-structured, coherent responses across a wide range of topics. Leveraging its strong reasoning skills and an enriched knowledge base, Claude Pro can create detailed reports, craft imaginative content, summarize lengthy documents, and assist with programming challenges. Its continually evolving algorithms enhance its ability to learn from feedback, ensuring that the information it provides remains accurate, reliable, and helpful. Whether serving professionals in search of specialized guidance or individuals who require quick and insightful answers, Claude Pro delivers a versatile and effective conversational experience, solidifying its position as a valuable resource for those seeking information or assistance. Ultimately, its adaptability and user-focused design make it an indispensable tool in a variety of scenarios.

Mistral Large is the flagship language model developed by Mistral AI, designed for advanced text generation and complex multilingual reasoning tasks including text understanding, transformation, and software code creation. It supports various languages such as English, French, Spanish, German, and Italian, enabling it to effectively navigate grammatical complexities and cultural subtleties. With a remarkable context window of 32,000 tokens, Mistral Large can accurately retain and reference information from extensive documents. Its proficiency in following precise instructions and invoking built-in functions significantly aids in application development and the modernization of technology infrastructures. Accessible through Mistral's platform, Azure AI Studio, and Azure Machine Learning, it also provides an option for self-deployment, making it suitable for sensitive applications. Benchmark results indicate that Mistral Large excels in performance, ranking as the second-best model worldwide available through an API, closely following GPT-4, which underscores its strong position within the AI sector. This blend of features and capabilities positions Mistral Large as an essential resource for developers aiming to harness cutting-edge AI technologies effectively. Moreover, its adaptable nature allows it to meet diverse industry needs, further enhancing its appeal as a versatile AI solution.

InstructGPT is an accessible framework that facilitates the development of language models designed to generate natural language instructions from visual cues. Utilizing a generative pre-trained transformer (GPT) in conjunction with the sophisticated object detection features of Mask R-CNN, it effectively recognizes items within images and constructs coherent natural language narratives. This framework is crafted for flexibility across a range of industries, such as robotics, gaming, and education; for example, it can assist robots in carrying out complex tasks through spoken directions or aid learners by providing comprehensive accounts of events or processes. Moreover, InstructGPT's ability to merge visual comprehension with verbal communication significantly improves interactions across various applications, making it a valuable tool for enhancing user experiences. Its potential to innovate solutions in diverse fields continues to grow, opening up new possibilities for how we engage with technology.

Kimi K2 showcases a groundbreaking series of open-source large language models that employ a mixture-of-experts (MoE) architecture, featuring an impressive total of 1 trillion parameters, with 32 billion parameters activated specifically for enhanced task performance. With the Muon optimizer at its core, this model has been trained on an extensive dataset exceeding 15.5 trillion tokens, and its capabilities are further amplified by MuonClip’s attention-logit clamping mechanism, enabling outstanding performance in advanced knowledge comprehension, logical reasoning, mathematics, programming, and various agentic tasks. Moonshot AI offers two unique configurations: Kimi-K2-Base, which is tailored for research-level fine-tuning, and Kimi-K2-Instruct, designed for immediate use in chat and tool interactions, thus allowing for both customized development and the smooth integration of agentic functionalities. Comparative evaluations reveal that Kimi K2 outperforms many leading open-source models and competes strongly against top proprietary systems, particularly in coding tasks and complex analysis. Additionally, it features an impressive context length of 128 K tokens, compatibility with tool-calling APIs, and support for widely used inference engines, making it a flexible solution for a range of applications. The innovative architecture and features of Kimi K2 not only position it as a notable achievement in artificial intelligence language processing but also as a transformative tool that could redefine the landscape of how language models are utilized in various domains. This advancement indicates a promising future for AI applications, suggesting that Kimi K2 may lead the way in setting new standards for performance and versatility in the industry.

Moshi embodies an innovative method in the realm of conversational AI. It seamlessly processes thoughts while articulating them in real time, facilitating a fluid conversation; this continuous interaction enhances the sharing of ideas and information, making every exchange more enriching and dynamic. Furthermore, this approach encourages a deeper connection and understanding between users and the AI.

IXL provides a customized educational journey through a comprehensive K-12 curriculum, offering personalized assistance and instant feedback to meet the unique needs of each learner. At IXL Learning, our drive to improve education for all motivates us to utilize technology in creative and impactful ways, nurturing students' inherent curiosity, imagination, and desire for knowledge. As an educational technology company, IXL Learning delivers a dynamic e-learning platform that serves students from all grade levels in diverse subjects including math, English language arts, science, and social studies. With approximately 7 million students engaging with IXL in the United States and over 55 billion questions answered globally, our platform plays a vital role in helping schools integrate technology effectively, enhancing teaching and learning results. IXL's innovative content spans topics from algebraic principles to the nuances of adverbs, as well as from molecular structures to map navigation, all designed to provide engaging and personalized educational experiences that spark curiosity and build confidence in students. By consistently evolving and adapting to the ever-changing educational landscape, IXL is dedicated to addressing the varied learning needs of students worldwide, ensuring that the process of learning is not only effective but also enjoyable. The commitment to fostering a love for learning propels IXL to expand its offerings and reach even more learners in the future.

PanGu-α is developed with the MindSpore framework and is powered by an impressive configuration of 2048 Ascend 910 AI processors during its training phase. This training leverages a sophisticated parallelism approach through MindSpore Auto-parallel, utilizing five distinct dimensions of parallelism: data parallelism, operation-level model parallelism, pipeline model parallelism, optimizer model parallelism, and rematerialization, to efficiently allocate tasks among the 2048 processors. To enhance the model's generalization capabilities, we compiled an extensive dataset of 1.1TB of high-quality Chinese language information from various domains for pretraining purposes. We rigorously test PanGu-α's generation capabilities across a variety of scenarios, including text summarization, question answering, and dialogue generation. Moreover, we analyze the impact of different model scales on few-shot performance across a broad spectrum of Chinese NLP tasks. Our experimental findings underscore the remarkable performance of PanGu-α, illustrating its proficiency in managing a wide range of tasks, even in few-shot or zero-shot situations, thereby demonstrating its versatility and durability. This thorough assessment not only highlights the strengths of PanGu-α but also emphasizes its promising applications in practical settings. Ultimately, the results suggest that PanGu-α could significantly advance the field of natural language processing.

Modern learners necessitate an educational approach that prioritizes skill development through experiential, data-informed methods rather than focusing solely on rote memorization and repetition. Xtremelabs adeptly addresses this requirement by offering a wide array of labs dedicated to diverse technology topics, enabling participants to immerse themselves fully in the learning material. These labs replicate actual IT environments, complete with complex configurations, preparing learners to effectively manage the challenges they will face in their professional paths. Additionally, our sophisticated backend analytics provide tailored learning experiences by pinpointing specific areas where individuals may need support, directing them towards the most advantageous exercises or instructional videos. Students can revisit any activity as often as they wish to solidify their comprehension. Furthermore, Xtremelabs distinguishes itself as the premier provider of integrated learning labs within the industry. With an open API that easily connects with a multitude of technologies, educational platforms, and content providers, we enhance learner engagement throughout their educational journey. This holistic strategy not only promotes a deeper grasp of the material but also develops the essential skills needed to thrive in an ever-changing technological landscape. Ultimately, our commitment to innovative education ensures that learners are well-prepared for the demands of the future.

Stable LM signifies a notable progression in the language model domain, building upon prior open-source experiences, especially through collaboration with EleutherAI, a nonprofit research group. This evolution has included the creation of prominent models like GPT-J, GPT-NeoX, and the Pythia suite, all trained on The Pile open-source dataset, with several recent models such as Cerebras-GPT and Dolly-2 taking cues from this foundational work. In contrast to earlier models, Stable LM utilizes a groundbreaking dataset that is three times as extensive as The Pile, comprising an impressive 1.5 trillion tokens. More details regarding this dataset will be disclosed soon. The vast scale of this dataset allows Stable LM to perform exceptionally well in conversational and programming tasks, even though it has a relatively compact parameter size of 3 to 7 billion compared to larger models like GPT-3, which features 175 billion parameters. Built for adaptability, Stable LM 3B is a streamlined model designed to operate efficiently on portable devices, including laptops and mobile gadgets, which excites us about its potential for practical usage and portability. This innovation has the potential to bridge the gap for users seeking advanced language capabilities in accessible formats, thus broadening the reach and impact of language technologies. Overall, the launch of Stable LM represents a crucial advancement toward developing more efficient and widely available language models for diverse users.

Wooflash combines neuroeducational science with artificial intelligence to improve how teachers and students create, review, and remember educational content. With its intuitive interface and automated AI suggestions, educators can effortlessly generate over 20 types of interactive study tools, such as flashcards and multiple-choice quizzes, all featuring instant feedback powered by AI. The platform's adaptive spaced-repetition algorithm customizes each learner’s review process, effectively enhancing retrieval practice at optimal intervals, while the immediate feedback and varied, concise formats help mitigate cognitive overload. Additionally, Wooflash encourages collaborative content creation, allowing groups to work together in developing and refining question banks, and it provides real-time progress tracking through straightforward, interpretable charts for both individual learners and whole classes. Grounded in established neuroeducation research, Wooflash not only simplifies the lesson creation process, making it more engaging, but also boosts memory retention by focusing on active recall strategies, ensuring that the learning experience is both effective and meaningful. This innovative approach allows educators to dedicate more time to teaching rather than administrative duties, ultimately enriching the educational journey for everyone involved, thereby fostering a more dynamic and interactive learning environment.

Olmo 3 constitutes an extensive series of open models that include versions with 7 billion and 32 billion parameters, delivering outstanding performance in areas such as base functionality, reasoning, instruction, and reinforcement learning, all while ensuring transparency throughout the development process, including access to raw training datasets, intermediate checkpoints, training scripts, extended context support (with a remarkable window of 65,536 tokens), and provenance tools. The backbone of these models is derived from the Dolma 3 dataset, which encompasses about 9 trillion tokens and employs a thoughtful mixture of web content, scientific research, programming code, and comprehensive documents; this meticulous strategy of pre-training, mid-training, and long-context usage results in base models that receive further refinement through supervised fine-tuning, preference optimization, and reinforcement learning with accountable rewards, leading to the emergence of the Think and Instruct versions. Importantly, the 32 billion Think model has earned recognition as the most formidable fully open reasoning model available thus far, showcasing a performance level that closely competes with that of proprietary models in disciplines such as mathematics, programming, and complex reasoning tasks, highlighting a considerable leap forward in the realm of open model innovation. This breakthrough not only emphasizes the capabilities of open-source models but also suggests a promising future where they can effectively rival conventional closed systems across a range of sophisticated applications, potentially reshaping the landscape of artificial intelligence.

SkyLEARN Learning Management System presents a comprehensive solution that allows users to effortlessly upload courses and oversee learners. Engineered for growth, this platform offers substantial customization abilities to match your brand identity, fostering an inviting space for students. Furthermore, it boasts an advanced reporting system along with a multitude of features that guarantee learners can easily find the content they need. Moreover, the system's intuitive design enhances the overall learning experience, making it accessible for all users. In summary, SkyLEARN stands out as an excellent option for organizations in search of a versatile and easy-to-use learning management system.

Tülu 3 represents a state-of-the-art language model designed by the Allen Institute for AI (Ai2) with the objective of enhancing expertise in various domains such as knowledge, reasoning, mathematics, coding, and safety. Built on the foundation of the Llama 3 Base, it undergoes an intricate four-phase post-training process: meticulous prompt curation and synthesis, supervised fine-tuning across a diverse range of prompts and outputs, preference tuning with both off-policy and on-policy data, and a distinctive reinforcement learning approach that bolsters specific skills through quantifiable rewards. This open-source model is distinguished by its commitment to transparency, providing comprehensive access to its training data, coding resources, and evaluation metrics, thus helping to reduce the performance gap typically seen between open-source and proprietary fine-tuning methodologies. Performance evaluations indicate that Tülu 3 excels beyond similarly sized models, such as Llama 3.1-Instruct and Qwen2.5-Instruct, across multiple benchmarks, emphasizing its superior effectiveness. The ongoing evolution of Tülu 3 not only underscores a dedication to enhancing AI capabilities but also fosters an inclusive and transparent technological landscape. As such, it paves the way for future advancements in artificial intelligence that prioritize collaboration and accessibility for all users.

We are excited to present DeepSeek-V3.2-Exp, our latest experimental model that evolves from V3.1-Terminus, incorporating the cutting-edge DeepSeek Sparse Attention (DSA) technology designed to significantly improve both training and inference speeds for longer contexts. This innovative DSA framework enables accurate sparse attention while preserving the quality of outputs, resulting in enhanced performance for long-context tasks alongside reduced computational costs. Benchmark evaluations demonstrate that V3.2-Exp delivers performance on par with V3.1-Terminus, all while benefiting from these efficiency gains. The model is fully functional across various platforms, including app, web, and API. In addition, to promote wider accessibility, we have reduced DeepSeek API pricing by more than 50% starting now. During this transition phase, users will have access to V3.1-Terminus through a temporary API endpoint until October 15, 2025. DeepSeek invites feedback on DSA from users via our dedicated feedback portal, encouraging community engagement. To further support this initiative, DeepSeek-V3.2-Exp is now available as open-source, with model weights and key technologies—including essential GPU kernels in TileLang and CUDA—published on Hugging Face, and we are eager to observe how the community will leverage this significant technological advancement. As we unveil this new chapter, we anticipate fruitful interactions and innovative applications arising from the collective contributions of our user base.

Code Llama is a sophisticated language model engineered to produce code from text prompts, setting itself apart as a premier choice among publicly available models for coding applications. This groundbreaking model not only enhances productivity for seasoned developers but also supports newcomers in tackling the complexities of learning programming. Its adaptability allows Code Llama to serve as both an effective productivity tool and a pedagogical resource, enabling programmers to develop more efficient and well-documented software. Furthermore, users can generate code alongside natural language explanations by inputting either format, which contributes to its flexibility for various programming tasks. Offered for free for both research and commercial use, Code Llama is based on the Llama 2 architecture and is available in three specific versions: the core Code Llama model, Code Llama - Python designed exclusively for Python development, and Code Llama - Instruct, which is fine-tuned to understand and execute natural language commands accurately. As a result, Code Llama stands out not just for its technical capabilities but also for its accessibility and relevance to diverse coding scenarios.