mpaepper/llm_agents
Build agents which are controlled by LLMs
Language: Python
#deep_learning #langchain #llms #machine_learning
Stars: 303 Issues: 2 Forks: 10
https://github.com/mpaepper/llm_agents
  
  Build agents which are controlled by LLMs
Language: Python
#deep_learning #langchain #llms #machine_learning
Stars: 303 Issues: 2 Forks: 10
https://github.com/mpaepper/llm_agents
GitHub
  
  GitHub - mpaepper/llm_agents: Build agents which are controlled by LLMs
  Build agents which are controlled by LLMs. Contribute to mpaepper/llm_agents development by creating an account on GitHub.
  eugeneyan/open-llms
A list of open LLMs available for commercial use
#commercial #large_language_models #llm #llms
Stars: 286 Issues: 0 Forks: 18
https://github.com/eugeneyan/open-llms
  
  A list of open LLMs available for commercial use
#commercial #large_language_models #llm #llms
Stars: 286 Issues: 0 Forks: 18
https://github.com/eugeneyan/open-llms
GitHub
  
  GitHub - eugeneyan/open-llms: π A list of open LLMs available for commercial use.
  π A list of open LLMs available for commercial use. - eugeneyan/open-llms
β€2π€¬2
  PKU-Alignment/safe-rlhf
Safe-RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Language: Python
#ai_safety #alpaca #datasets #deepspeed #large_language_models #llama #llm #llms #reinforcement_learning #reinforcement_learning_from_human_feedback #rlhf #safe_reinforcement_learning #safe_reinforcement_learning_from_human_feedback #safe_rlhf #safety #transformers #vicuna
Stars: 279 Issues: 0 Forks: 14
https://github.com/PKU-Alignment/safe-rlhf
  
  Safe-RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Language: Python
#ai_safety #alpaca #datasets #deepspeed #large_language_models #llama #llm #llms #reinforcement_learning #reinforcement_learning_from_human_feedback #rlhf #safe_reinforcement_learning #safe_reinforcement_learning_from_human_feedback #safe_rlhf #safety #transformers #vicuna
Stars: 279 Issues: 0 Forks: 14
https://github.com/PKU-Alignment/safe-rlhf
GitHub
  
  GitHub - PKU-Alignment/safe-rlhf: Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
  Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback - PKU-Alignment/safe-rlhf
π2π1
  MLGroupJLU/LLM-eval-survey
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
#benchmark #evaluation #large_language_models #llm #llms #model_assessment
Stars: 200 Issues: 1 Forks: 11
https://github.com/MLGroupJLU/LLM-eval-survey
  
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
#benchmark #evaluation #large_language_models #llm #llms #model_assessment
Stars: 200 Issues: 1 Forks: 11
https://github.com/MLGroupJLU/LLM-eval-survey
GitHub
  
  GitHub - MLGroupJLU/LLM-eval-survey: The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
  The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models". - MLGroupJLU/LLM-eval-survey
π1π1
  hiyouga/FastEdit
π©ΉEditing large language models within 10 secondsβ‘
Language: Python
#bloom #chatbots #chatgpt #falcon #gpt #large_language_models #llama #llms #pytorch #transformers
Stars: 295 Issues: 5 Forks: 28
https://github.com/hiyouga/FastEdit
  
  π©ΉEditing large language models within 10 secondsβ‘
Language: Python
#bloom #chatbots #chatgpt #falcon #gpt #large_language_models #llama #llms #pytorch #transformers
Stars: 295 Issues: 5 Forks: 28
https://github.com/hiyouga/FastEdit
GitHub
  
  GitHub - hiyouga/FastEdit: π©ΉEditing large language models within 10 secondsβ‘
  π©ΉEditing large language models within 10 secondsβ‘. Contribute to hiyouga/FastEdit development by creating an account on GitHub.
β€2π1
  tomaarsen/attention_sinks
Extend existing LLMs way beyond the original training length with constant memory usage, and without retraining
Language: Python
#llm #llms #nlp #python #transformers
Stars: 224 Issues: 2 Forks: 11
https://github.com/tomaarsen/attention_sinks
  
  Extend existing LLMs way beyond the original training length with constant memory usage, and without retraining
Language: Python
#llm #llms #nlp #python #transformers
Stars: 224 Issues: 2 Forks: 11
https://github.com/tomaarsen/attention_sinks
GitHub
  
  GitHub - tomaarsen/attention_sinks: Extend existing LLMs way beyond the original training length with constant memory usage, withoutβ¦
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining - tomaarsen/attention_sinks
π₯2π1
  reworkd/tarsier
Vision utilities for web interaction agents π
Language: Jupyter Notebook
#gpt4v #llms #ocr #playwright #pypi_package #python #selenium #webscraping
Stars: 236 Issues: 3 Forks: 14
https://github.com/reworkd/tarsier
  
  Vision utilities for web interaction agents π
Language: Jupyter Notebook
#gpt4v #llms #ocr #playwright #pypi_package #python #selenium #webscraping
Stars: 236 Issues: 3 Forks: 14
https://github.com/reworkd/tarsier
GitHub
  
  GitHub - reworkd/tarsier: Vision utilities for web interaction agents π
  Vision utilities for web interaction agents π. Contribute to reworkd/tarsier development by creating an account on GitHub.
  SqueezeAILab/LLMCompiler
LLMCompiler: An LLM Compiler for Parallel Function Calling
Language: Python
#efficient_inference #function_calling #large_language_models #llama #llama2 #llm #llm_agent #llm_agents #llm_framework #llms #natural_language_processing #nlp #parallel_function_call #transformer
Stars: 216 Issues: 0 Forks: 11
https://github.com/SqueezeAILab/LLMCompiler
  
  LLMCompiler: An LLM Compiler for Parallel Function Calling
Language: Python
#efficient_inference #function_calling #large_language_models #llama #llama2 #llm #llm_agent #llm_agents #llm_framework #llms #natural_language_processing #nlp #parallel_function_call #transformer
Stars: 216 Issues: 0 Forks: 11
https://github.com/SqueezeAILab/LLMCompiler
GitHub
  
  GitHub - SqueezeAILab/LLMCompiler: [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
  [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling - SqueezeAILab/LLMCompiler
  Writesonic/GPTRouter
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Language: TypeScript
#anthropic #azure_openai #cohere #google_gemini #langchain #llama_index #llm #llmops #llms #mlops #openai #palm_api
Stars: 130 Issues: 6 Forks: 16
https://github.com/Writesonic/GPTRouter
  
  Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Language: TypeScript
#anthropic #azure_openai #cohere #google_gemini #langchain #llama_index #llm #llmops #llms #mlops #openai #palm_api
Stars: 130 Issues: 6 Forks: 16
https://github.com/Writesonic/GPTRouter
GitHub
  
  GitHub - Writesonic/GPTRouter: Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speedβ¦
  Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability. - Writesonic/GPTRouter
β€5
  aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
#awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language
Stars: 332 Issues: 0 Forks: 57
https://github.com/aishwaryanr/awesome-generative-ai-guide
  
  A one stop repository for generative AI research updates, interview resources, notebooks and much more!
#awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language
Stars: 332 Issues: 0 Forks: 57
https://github.com/aishwaryanr/awesome-generative-ai-guide
GitHub
  
  GitHub - aishwaryanr/awesome-generative-ai-guide: A one stop repository for generative AI research updates, interview resourcesβ¦
  A one stop repository for generative AI research updates, interview resources, notebooks and much more! - aishwaryanr/awesome-generative-ai-guide
π₯5π1
  Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
Language: Python
#llms #python #rag
Stars: 235 Issues: 3 Forks: 16
https://github.com/Shubhamsaboo/awesome-llm-apps
  
  Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
Language: Python
#llms #python #rag
Stars: 235 Issues: 3 Forks: 16
https://github.com/Shubhamsaboo/awesome-llm-apps
GitHub
  
  GitHub - Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini andβ¦
  Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models. - Shubhamsaboo/awesome-llm-apps
  InternLM/MindSearch
π a LLM-based Multi-agent Framework of Web Search Engine similar to Perplexity.ai Pro and SearchGPT
Language: Python
#ai_search_engine #gpt #llm #llms #multi_agent_systems #perplexity_ai #search #searchgpt #transformer #web_search
Stars: 792 Issues: 9 Forks: 60
https://github.com/InternLM/MindSearch
  
  π a LLM-based Multi-agent Framework of Web Search Engine similar to Perplexity.ai Pro and SearchGPT
Language: Python
#ai_search_engine #gpt #llm #llms #multi_agent_systems #perplexity_ai #search #searchgpt #transformer #web_search
Stars: 792 Issues: 9 Forks: 60
https://github.com/InternLM/MindSearch
GitHub
  
  GitHub - InternLM/MindSearch: π An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
  π An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT) - InternLM/MindSearch
  DocumindHQ/documind
Open-source platform for extracting structured data from documents using AI.
Language: TypeScript
#ai #document_extraction #document_processing #llms #open_source #pdf_extractor
Stars: 742 Issues: 2 Forks: 16
https://github.com/DocumindHQ/documind
  
  Open-source platform for extracting structured data from documents using AI.
Language: TypeScript
#ai #document_extraction #document_processing #llms #open_source #pdf_extractor
Stars: 742 Issues: 2 Forks: 16
https://github.com/DocumindHQ/documind
GitHub
  
  GitHub - DocumindHQ/documind: Open-source platform for extracting structured data from documents using AI.
  Open-source platform for extracting structured data from documents using AI. - DocumindHQ/documind
π2
  HKUDS/VideoRAG
"VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
Language: Python
#large_language_models #llms #long_video_understanding #multi_modal_llms #rag #retrieval_augmented_generation
Stars: 201 Issues: 1 Forks: 14
https://github.com/HKUDS/VideoRAG
  
  "VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos"
Language: Python
#large_language_models #llms #long_video_understanding #multi_modal_llms #rag #retrieval_augmented_generation
Stars: 201 Issues: 1 Forks: 14
https://github.com/HKUDS/VideoRAG
GitHub
  
  GitHub - HKUDS/VideoRAG: "VideoRAG: Chat with Your Videos"
  "VideoRAG: Chat with Your Videos". Contribute to HKUDS/VideoRAG development by creating an account on GitHub.
β‘1π1
  seal-rg/recurrent-pretraining
Pretraining code for a large-scale depth-recurrent language model
Language: Python
#llms #pretraining #reasoning #recurrent_depth
Stars: 249 Issues: 2 Forks: 14
https://github.com/seal-rg/recurrent-pretraining
  
  Pretraining code for a large-scale depth-recurrent language model
Language: Python
#llms #pretraining #reasoning #recurrent_depth
Stars: 249 Issues: 2 Forks: 14
https://github.com/seal-rg/recurrent-pretraining
GitHub
  
  GitHub - seal-rg/recurrent-pretraining: Pretraining and inference code for a large-scale depth-recurrent language model
  Pretraining and inference code for a large-scale depth-recurrent language model - seal-rg/recurrent-pretraining
β€2
  therealoliver/Deepdive-llama3-from-scratch
Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.
Language: Jupyter Notebook
#attention #attention_mechanism #gpt #inference #kv_cache #language_model #llama #llm_configuration #llms #mask #multi_head_attention #positional_encoding #residuals #rms #rms_norm #rope #rotary_position_encoding #swiglu #tokenizer #transformer
Stars: 388 Issues: 0 Forks: 28
https://github.com/therealoliver/Deepdive-llama3-from-scratch
  
  Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code.
Language: Jupyter Notebook
#attention #attention_mechanism #gpt #inference #kv_cache #language_model #llama #llm_configuration #llms #mask #multi_head_attention #positional_encoding #residuals #rms #rms_norm #rope #rotary_position_encoding #swiglu #tokenizer #transformer
Stars: 388 Issues: 0 Forks: 28
https://github.com/therealoliver/Deepdive-llama3-from-scratch
GitHub
  
  GitHub - therealoliver/Deepdive-llama3-from-scratch: Achieve the llama3 inference step-by-step, grasp the core concepts, masterβ¦
  Achieve the llama3 inference step-by-step, grasp the core concepts, master the process derivation, implement the code. - therealoliver/Deepdive-llama3-from-scratch
π1