From 8671f182a8d3a59e1ac073781347795bb0be195c Mon Sep 17 00:00:00 2001
From: "github-actions[bot]"
 <41898282+github-actions[bot]@users.noreply.github.com>
Date: Thu, 25 Jan 2024 11:49:44 +0000
Subject: [PATCH] awesome-stars category by topic update by github actions
 cron, created by starred

---
 topics.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/topics.md b/topics.md
index 38f4958..1ca8193 100644
--- a/topics.md
+++ b/topics.md
@@ -174,6 +174,7 @@
 
 ## chatgpt 
 
+- [video-db/StreamRAG](https://github.com/video-db/StreamRAG) - Video Search and Streaming Agent 🕵️‍♂️
 - [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.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
@@ -458,6 +459,8 @@
 
 ## others 
 
+- [Nutlope/pdftochat](https://github.com/Nutlope/pdftochat) - Chat with your PDFs with AI
+- [vegaluisjose/mlx-rag](https://github.com/vegaluisjose/mlx-rag) - Explore a simple example of utilizing MLX for RAG application running locally on your Apple Silicon device.
 - [cpacker/MemGPT](https://github.com/cpacker/MemGPT) - Teaching LLMs memory management for unbounded context 📚🦙
 - [guerilla-di/depix](https://github.com/guerilla-di/depix) - Read and write DPX file headers
 - [bertramlyons/DPXdpxDPX](https://github.com/bertramlyons/DPXdpxDPX) - DPX header editing gizmo
@@ -751,6 +754,7 @@
 
 ## pytorch 
 
+- [rohan-paul/LLM-FineTuning-Large-Language-Models](https://github.com/rohan-paul/LLM-FineTuning-Large-Language-Models) - LLM (Large Language Model) FineTuning
 - [bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
 - [NielsRogge/Transformers-Tutorials](https://github.com/NielsRogge/Transformers-Tutorials) - This repository contains demos I made with the Transformers library by HuggingFace.
 - [fcakyon/craft-text-detector](https://github.com/fcakyon/craft-text-detector) - Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector