Pinned Repositories
Adding-Private-Data-to-LLMs
Add Your Own Data to LLMs Using LangChain & LlamaIndex
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
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
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
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.
generative-ai-docs
Documentation for Google's Generative AI developer site
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
google-api-python-client
🐍 The official Python client library for Google's discovery based APIs.
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.
llama
Inference code for LLaMA models
niyeldeii's Repositories
niyeldeii/Adding-Private-Data-to-LLMs
Add Your Own Data to LLMs Using LangChain & LlamaIndex
niyeldeii/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
niyeldeii/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
niyeldeii/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
niyeldeii/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.
niyeldeii/generative-ai-docs
Documentation for Google's Generative AI developer site
niyeldeii/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
niyeldeii/google-api-python-client
🐍 The official Python client library for Google's discovery based APIs.
niyeldeii/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.
niyeldeii/llama
Inference code for LLaMA models
niyeldeii/stable-diffusion
niyeldeii/GoogleGemini-PDF
chat with multiple pdf docs using Google's Gemini generative AI
niyeldeii/gpt4all
gpt4all: run open-source LLMs anywhere
niyeldeii/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
niyeldeii/niyeldeii.github.io
niyeldeii/nougat
Implementation of Nougat Neural Optical Understanding for Academic Documents
niyeldeii/ollama
Get up and running with Llama 2, Mistral, Gemma, and other large language models.
niyeldeii/ollama-python
Ollama Python library
niyeldeii/RAGS
Build ChatGPT over your data, all with natural language
niyeldeii/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
niyeldeii/Verba
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
niyeldeii/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.