(Windows/Linux) Local WebUI for finetuning, evaluation and generation of neural network models (LLM and StableDiffusion) on python (In Gradio interface)
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Updated
May 30, 2024 - Python
(Windows/Linux) Local WebUI for finetuning, evaluation and generation of neural network models (LLM and StableDiffusion) on python (In Gradio interface)
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Docker implementation of Llama Index Agentic RAG. Developing a RAG system requires multiple component such as LLM, Vector-DB, UI, etc. In this work we perform containerization of entire system.
LLM is a very powerful tool. It often performs more than required (hallucinations) and may tend to generate output in a pattern it finds best. We need RAG to harness the power of LLM in a controlled manner. In this work we implement a simple RAG system with Codegemma and a in -memory Vector Database.
Simple agents are good for 1-to-1 retrieval system. For more complex task we need multi steps reasoning loop. In a reasoning loop the agent can break down a complex task into subtasks and solve them step by step while maintaining a conversational memory.
a self-hosted webui for 30+ generative ai
Make dataset for RVC with gradio webui
[ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task
Gradio based tool to run opensource LLM models directly from Huggingface
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
Stable Diffusion web UI
The Prompt Teacher is an interactive and educational prompt engineering interface for LLMs that teaches users how to craft ✍️, refine 🔧, and optimize 📈 prompts to achieve the most effective and targeted responses from LLMs.
Image Knowledge base / Idea / Problem Solve / Analysis
🤗 image matching toolbox webui
Easy Docker setup for Stable Diffusion with user-friendly UI
Model Manager for AUTOMATIC1111's stable-diffusion-webui
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