Welcome to Library of Autonomous Agents+ AGI

Deep Dive

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AI Ecosystem

 

AI Ecosystem

 

 

General Purpose LLMs

  1. GPT-3 & GPT-4: OpenAI’s powerful language models for various tasks, like writing different kinds of creative content and answering your questions in an informative way.
  2. LaMDA: Google’s language model for dialogue applications, designed to be informative and comprehensive.
  3. PaLM: Google AI’s massive language model with strong performance in various tasks, like translation and question answering.
  4. Bard: Google AI’s conversational chatbot, trained on a massive dataset of text and code.
  5. Claude: Anthropic’s LLM focused on safety and helpfulness, ensuring its responses are aligned with human values.
  6. LLaMA: Meta AI’s open-source large language model, available for researchers to study and improve.
  7. OPT: Another open-source LLM from Meta AI, focusing on safety and transparency.
  8. Chinchilla: DeepMind’s compute-optimal language model, designed to be efficient and scalable.
  9. Gopher: DeepMind’s LLM with strong performance in various tasks, like summarization and question answering.
  10. Sparrow: DeepMind’s LLM designed for dialogue with reinforcement learning, aiming to be informative and helpful.
  11. Megatron-Turing NLG: A massive language model from NVIDIA and Microsoft, trained on a massive dataset of text and code.
  12. WuDao 2.0: A large language model from the Beijing Academy of Artificial Intelligence, focusing on Chinese language processing.
  13. ERNIE 3.0 Titan: Baidu’s powerful language model, known for its ability to generate different creative text formats.
  14. MT-NLG: A massive language model from Microsoft and NVIDIA, trained on a massive dataset of text and code.
  15. Jurassic-1: AI21 Labs’ commercially available language model, providing various language processing capabilities.

Code Generation & Assistance

  1. Codex: OpenAI’s model for code generation, powering GitHub Copilot and helping programmers write code more efficiently.
  2. AlphaCode: DeepMind’s system for competitive programming, capable of solving complex coding challenges.
  3. CodeT5: Google’s LLM for code understanding and generation, translating natural language into code and vice versa.

Image & Text-to-Image Generation

  1. DALL-E 2: OpenAI’s model for generating images from text descriptions, creating photorealistic images based on your imagination.
  2. Imagen: Google’s text-to-image diffusion model, generating high-quality images from text descriptions.
  3. Midjourney: An independent research lab’s AI image generation tool, creating artistic and creative images from text prompts.
  4. Stable Diffusion: An open-source text-to-image model, allowing anyone to experiment with image generation.
  5. Parti: Google’s pathway-based text-to-image generation model, creating images by understanding the relationships between words and concepts.

Specialized LLMs

  1. BioBERT: A language model for biomedical text mining, extracting insights from medical literature.
  2. SciBERT: A language model for scientific text understanding, helping scientists process and analyze scientific papers.
  3. ClinicalBERT: A language model for clinical text processing, assisting healthcare professionals with medical record analysis.
  4. LegalBERT: A language model for legal text analysis, supporting lawyers with legal research and document review.
  5. FinancialBERT: A language model for financial text analysis, aiding financial professionals with market analysis and risk assessment.

Other Notable AI Models

  1. AlphaGo & AlphaZero: DeepMind’s models for mastering Go and other games, demonstrating AI’s capabilities in strategic thinking.
  2. AlphaFold: DeepMind’s model for protein structure prediction, accelerating drug discovery and protein engineering.
  3. Gato: DeepMind’s generalist agent that can perform many tasks, showcasing AI’s potential for multi-tasking and adaptability.
  4. MuZero: DeepMind’s model for mastering games without knowing the rules, demonstrating AI’s ability to learn from scratch.
  5. Perceiver: DeepMind’s model for processing various data types, including images, text, and audio.
  6. Flamingo: DeepMind’s visual language model, combining image understanding with language processing capabilities.
  7. RETRO: DeepMind’s retrieval-augmented language model, improving its responses by retrieving relevant information from external sources.

Emerging and Developing LLMs

  1. AlexaTM 20B: Amazon’s large language model for conversational AI, powering Alexa’s voice assistant and other conversational applications.
  2. Cohere: A platform providing access to powerful LLMs, offering various language processing tools and services.
  3. AI21 Studio: A platform with various LLMs for different applications, including writing, translation, and code generation.
  4. Hugging Face: A community and platform with numerous open-source LLMs, facilitating research and collaboration in AI.
  5. BLOOM: A large, open-source multilingual language model, trained on a massive dataset of text in multiple languages.

Models with Limited Public Information

  1. Bard Advanced: Google’s next-generation LLM, with limited access and improved capabilities over Bard.
  2. Gemini: Google’s multimodal AI model, under development and able to process and generate text, code, images, and other data formats.
  3. DeepMind Gato (updated): Potentially more advanced versions of Gato, with enhanced capabilities and performance.
  4. OpenAI’s future models: Successors to GPT-4, under development and expected to surpass current capabilities.
  5. Meta AI’s future models: Advanced LLMs and AI systems, in research and development, focusing on various applications.
  6. Anthropic’s future models: LLMs with further focus on safety and alignment, ensuring responsible development and deployment.
  7. NVIDIA’s future models: Larger and more powerful LLMs, in development and aiming to push the boundaries of AI.
  8. Baidu’s future models: Advanced LLMs for various applications, in research and development, focusing on the Chinese market.
  9. Microsoft’s future models: LLMs integrated with their products and services, aiming to improve user experience and productivity.
  10. Various research labs and startups: Continuously developing new and innovative LLMs, contributing to the advancement of AI technology.

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