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What is Llama?

Llama, a leading-edge foundational large language model developed by Meta AI, is designed to assist researchers in expanding the frontiers of artificial intelligence research. By offering streamlined yet powerful models like Llama, even those with limited resources can access advanced tools, thereby enhancing inclusivity in this fast-paced and ever-evolving field. The development of more compact foundational models, such as Llama, proves beneficial in the realm of large language models since they require considerably less computational power and resources, which allows for the exploration of novel approaches, validation of existing studies, and examination of potential new applications. These models harness vast amounts of unlabeled data, rendering them particularly effective for fine-tuning across diverse tasks. We are introducing Llama in various sizes, including 7B, 13B, 33B, and 65B parameters, each supported by a comprehensive model card that details our development methodology while maintaining our dedication to Responsible AI practices. By providing these resources, we seek to empower a wider array of researchers to actively participate in and drive forward the developments in the field of AI. Ultimately, our goal is to foster an environment where innovation thrives and collaboration flourishes.

What is Gopher?

Language serves as a fundamental tool in enhancing comprehension and enriching the human experience. It allows people to express their thoughts, share ideas, create memories that last, and build connections with others, fostering empathy in the process. These aspects are critical for social intelligence, which is why teams at DeepMind concentrate on various dimensions of language processing and communication among both humans and artificial intelligences. Within the broader context of AI research, we believe that improving language model capabilities—systems that predict and generate text—holds significant potential for developing advanced AI systems. Such systems are capable of summarizing information, providing expert opinions, and executing instructions using natural language in a way that feels intuitive. Nevertheless, the path to creating beneficial language models requires a careful examination of their potential impacts, including the challenges and risks they may pose to society. By gaining a deeper understanding of these issues, we can strive to leverage their advantages while effectively addressing any negative implications that may arise. Ultimately, this ongoing investigation will help ensure that the evolution of language technology aligns with our ethical and social values.

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Integrations Supported

1min.AI
AGAT Secure AI Platform
Axolotl
Deasie
Entry Point AI
Fleak
Graydient AI
Kiin
Meta AI
Overseer AI
Prompt Genie
PromptPal
Scottie
SpyderBot
Teneo.AI
TypeThink
WriteFastly
Yonoo
amazee.ai

Integrations Supported

ChatGPT

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

www.llama.com

Company Facts

Organization Name

Google DeepMind

Company Location

United States

Company Website

www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval

Categories and Features

AI Models

Not specified

Embedding Models

Not specified

Foundation Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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