awesome-stars category by topic update by github actions cron, create…

…d by starred

topics.md

@@ -128,7 +128,7 @@
 - [leptonai/search_with_lepton](https://github.com/leptonai/search_with_lepton) - Building a quick conversation-based search demo with Lepton AI.
 - [da-z/mlx-ui](https://github.com/da-z/mlx-ui) - A simple UI / Web / Frontend for MLX mlx-lm using Streamlit.
 - [AI4LAM/awesome-ai4lam](https://github.com/AI4LAM/awesome-ai4lam) - A list of awesome AI in libraries, archives, and museum collections from around the world 🕶️
-- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
+- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
 - [gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) - Specify what you want it to build, the AI asks for clarification, and then builds it.
 - [simonw/llm](https://github.com/simonw/llm) - Access large language models from the command-line
 - [explosion/spaCy](https://github.com/explosion/spaCy) - 💫 Industrial-strength Natural Language Processing (NLP) in Python
@@ -227,7 +227,7 @@
 - [haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA) - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
 - [BlinkDL/RWKV-LM](https://github.com/BlinkDL/RWKV-LM) - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, sa
 - [video-db/StreamRAG](https://github.com/video-db/StreamRAG) - Video Search and Streaming Agent 🕵️‍♂️
-- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
+- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
 - [SALT-NLP/LLaVAR](https://github.com/SALT-NLP/LLaVAR) - Code/Data for the paper: "LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding"
 - [run-llama/rags](https://github.com/run-llama/rags) - Build ChatGPT over your data, all with natural language
 - [microsoft/autogen](https://github.com/microsoft/autogen) - A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
@@ -509,7 +509,7 @@
 - [da-z/mlx-ui](https://github.com/da-z/mlx-ui) - A simple UI / Web / Frontend for MLX mlx-lm using Streamlit.
 - [alphasecio/llama-index](https://github.com/alphasecio/llama-index) - A collection of apps powered by the LlamaIndex LLM framework.
 - [snexus/llm-search](https://github.com/snexus/llm-search) - Querying local documents, powered by LLM
-- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
+- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
 - [riccardomusmeci/mlx-llm](https://github.com/riccardomusmeci/mlx-llm) - Large Language Models (LLMs) applications and tools running on Apple Silicon in real-time with Apple MLX.
 - [mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm) - Universal LLM Deployment Engine with ML Compilation
 - [ollama/ollama](https://github.com/ollama/ollama) - Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.