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niyel's Projects

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

chatpdf icon chatpdf

ChatPDF is an innovative and user-friendly application designed to streamline the interaction with PDF documents through conversational AI. This app offers a range of functions that facilitate seamless document management and information retrieval

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

gemini_multipdf_chat icon gemini_multipdf_chat

Gemini PDF Chatbot: A Streamlit-based application powered by the Gemini conversational AI model. Upload multiple PDF files, extract text, and engage in natural language conversations to receive detailed responses based on the document context. Enhance your interaction with PDF documents using this intuitive and intelligent chatbot.

gpt-rag icon gpt-rag

Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

gpt4all icon gpt4all

gpt4all: run open-source LLMs anywhere

llama icon llama

Inference code for LLaMA models

nougat icon nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

ollama icon ollama

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

rags icon rags

Build ChatGPT over your data, all with natural language

rlhf icon rlhf

Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

verba icon verba

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

ytapi-samples icon ytapi-samples

Code samples for YouTube APIs, including the YouTube Data API, YouTube Analytics API, and YouTube Live Streaming API. The repo contains language-specific directories that contain the samples.

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