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

…d by starred

topics.md

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 ## chatgpt 
 
 - [OpenGVLab/Ask-Anything](https://github.com/OpenGVLab/Ask-Anything) - [CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
-- [RManLuo/Awesome-LLM-KG](https://github.com/RManLuo/Awesome-LLM-KG) - Awesome papers about unifying LLMs and KGs
 - [BAAI-DCAI/Bunny](https://github.com/BAAI-DCAI/Bunny) - A family of lightweight multimodal models.
 - [embedchain/embedchain](https://github.com/embedchain/embedchain) - Personalizing LLM Responses
 - [enricoros/big-AGI](https://github.com/enricoros/big-AGI) - Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, cod
@@ -461,7 +460,6 @@
 - [dosco/llm-client](https://github.com/dosco/llm-client) - JS/TS library to make to easy to build with LLMs. Full support for various LLMs and VectorDBs, Agents, Function Calling, Chain-of-Thought, RAG, Semantic Router and more. Based on the popular Stanford 
 - [Maximilian-Winter/llama-cpp-agent](https://github.com/Maximilian-Winter/llama-cpp-agent) - The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured ou
 - [InternLM/xtuner](https://github.com/InternLM/xtuner) - An efficient, flexible and full-featured toolkit for fine-tuning large models (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
-- [RManLuo/Awesome-LLM-KG](https://github.com/RManLuo/Awesome-LLM-KG) - Awesome papers about unifying LLMs and KGs
 - [embedchain/embedchain](https://github.com/embedchain/embedchain) - Personalizing LLM Responses
 - [Blaizzy/mlx-vlm](https://github.com/Blaizzy/mlx-vlm) - MLX-VLM is a package for running Vision LLMs locally on your Mac using MLX.
 - [mlabonne/llm-course](https://github.com/mlabonne/llm-course) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
@@ -488,7 +486,7 @@
 - [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/
 - [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) - Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
+- [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, Mistral, Gemma, and other large language models.
 - [ise-uiuc/magicoder](https://github.com/ise-uiuc/magicoder) - Magicoder: Source Code Is All You Need
 - [run-llama/rags](https://github.com/run-llama/rags) - Build ChatGPT over your data, all with natural language
@@ -553,7 +551,7 @@
 
 ## natural-language-processing 
 
-- [urchade/GLiNER](https://github.com/urchade/GLiNER) - Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 24
+- [urchade/GLiNER](https://github.com/urchade/GLiNER) - Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
 - [flairNLP/flair](https://github.com/flairNLP/flair) - A very simple framework for state-of-the-art Natural Language Processing (NLP)
 - [izuna385/Wikia-and-Wikipedia-EL-Dataset-Creator](https://github.com/izuna385/Wikia-and-Wikipedia-EL-Dataset-Creator) - You can create datasets from Wikia/Wikipedia that can be used for entity recognition and Entity Linking. Dumps for ja-wiki and VTuber-wiki are available!
 - [explosion/spacy-stanza](https://github.com/explosion/spacy-stanza) - 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy