What is Jurassic-1?
Jurassic-1 features two distinct model sizes, with the Jumbo variant being the most expansive at 178 billion parameters, showcasing the highest level of intricacy among language models available to developers. Presently, AI21 Studio is undergoing an open beta phase, encouraging users to sign up and start engaging with Jurassic-1 via a user-friendly API and an interactive online platform.
At AI21 Labs, we aim to transform the way individuals interact with reading and writing by incorporating machines as cognitive partners, a vision that necessitates collaborative efforts to achieve. Our journey into the realm of language models began during what we call our Mesozoic Era (2017 😉). Building on this initial research, Jurassic-1 represents the first series of models we are now making available for widespread public use. Looking ahead, we are eager to witness the innovative ways in which users will harness these technological advancements in their creative endeavors. Furthermore, we believe that this collaboration between humans and machines will unlock new frontiers in communication and expression.
Integrations
Similar Software to Jurassic-1
LM-Kit.NET
LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease.
Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process.
With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
Learn more
Google AI Studio
Google AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini 3, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.
Learn more
Phi-2
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.
Learn more
Alpaca
Models designed to follow instructions, such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat, have experienced remarkable improvements in their functionalities, resulting in a notable increase in their utilization by users in various personal and professional environments. While their rising popularity and integration into everyday activities is evident, these models still face significant challenges, including the potential to spread misleading information, perpetuate detrimental stereotypes, and utilize offensive language. Addressing these pressing concerns necessitates active engagement from researchers and academics to further investigate these models. However, the pursuit of research on instruction-following models in academic circles has been complicated by the lack of accessible alternatives to proprietary systems like OpenAI’s text-DaVinci-003. To bridge this divide, we are excited to share our findings on Alpaca, an instruction-following language model that has been fine-tuned from Meta’s LLaMA 7B model, as we aim to enhance the dialogue and advancements in this domain. By shedding light on Alpaca, we hope to foster a deeper understanding of instruction-following models while providing researchers with a more attainable resource for their studies and explorations. This initiative marks a significant stride toward improving the overall landscape of instruction-following technologies.
Learn more
Screenshots and Video
Company Facts
Company Name:
AI21 Labs
Date Founded:
2017
Company Location:
Israel
Company Website:
www.ai21.com/blog/announcing-ai21-studio-and-jurassic-1
Product Details
Deployment
SaaS
Windows
Mac
Linux
On-Prem
Training Options
Documentation Hub
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English