From 1f02e5137a23a76d93cdb03063272c2f3631eb55 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 19 Dec 2024 11:49:19 +0000
Subject: [PATCH] awesome-stars category by language update by github actions
 cron, created by starred

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index d8c6ef8..bea6bb2 100644
--- a/README.md
+++ b/README.md
@@ -250,7 +250,7 @@
 - [NielsRogge/Transformers-Tutorials](https://github.com/NielsRogge/Transformers-Tutorials) - This repository contains demos I made with the Transformers library by HuggingFace.
 - [salesforce/LAVIS](https://github.com/salesforce/LAVIS) - LAVIS - A One-stop Library for Language-Vision Intelligence
 - [facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) - Foundational Models for State-of-the-Art Speech and Text Translation
-- [microsoft/autogen](https://github.com/microsoft/autogen) - A programming framework for agentic AI 🤖 (PyPi: autogen-agentchat)
+- [microsoft/autogen](https://github.com/microsoft/autogen) - A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
 - [run-llama/llama-hub](https://github.com/run-llama/llama-hub) - A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain
 - [sroecker/LLM_AppDev-HandsOn](https://github.com/sroecker/LLM_AppDev-HandsOn) - Repository and hands-on workshop on how to develop applications with local LLMs
 - [Vaibhavs10/insanely-fast-whisper](https://github.com/Vaibhavs10/insanely-fast-whisper) - 
@@ -376,7 +376,7 @@
 - [mem0ai/mem0](https://github.com/mem0ai/mem0) - The Memory layer for your AI apps
 - [artefactual-labs/amclient](https://github.com/artefactual-labs/amclient) - Archivematica API client module
 - [microsoft/LLMLingua](https://github.com/microsoft/LLMLingua) - [EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
-- [thunlp/LLaVA-UHD](https://github.com/thunlp/LLaVA-UHD) - LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
+- [thunlp/LLaVA-UHD](https://github.com/thunlp/LLaVA-UHD) - LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer
 - [Blaizzy/mlx-vlm](https://github.com/Blaizzy/mlx-vlm) - MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
 - [meta-llama/llama3](https://github.com/meta-llama/llama3) - The official Meta Llama 3 GitHub site
 - [armbues/SiLLM](https://github.com/armbues/SiLLM) - SiLLM simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework.