A large language model (LLM) is a type of machine learning model designed for understanding, generating, and interacting with human language. These models are trained on extensive datasets containing text from books, articles, websites, and other sources to learn patterns, context, and semantics in language. LLMs are widely used in applications like chatbots, code generation, translation, summarization, and more. They are often built using transformer architectures and are central to the field of generative AI.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
A curated collection of awesome AI Agents and LLM Apps built with multiple tech stacks, showcasing real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.
Orchestrate zero-shot computer vision models
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
Declarative framework to build LLM-based applications
🌼 ShoppingGPT 🛒: AI-powered Shopping Assistant - RAG + LLMs + Semantic Router +Vietnamese
Velocity : Financial analysis at the speed of thought
Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.
Official Project Page for HLA: Higher-order Linear Attention (https://arxiv.org/abs/2510.27258)
A Node-RED module that wraps the ollama.js library, offering its functionalities as configurable nodes for easy integration into flows.
GPThreatIntel-Summarizer is a Python tool that uses OpenAI models and CTI to automate report summarization. Extract key insights from CTI reports, generate concise summaries.
書籍「AWS生成AIアプリ構築実践ガイド」で使用するサンプルコード
It allows users to query databases using natural language and receive results as SQL code and beautiful visualizations.
Characterising the Creative Process in Humans and Large Language Models
Ứng dụng web toàn diện cung cấp thông tin chi tiết về điểm chuẩn đại học năm 2024 tại Việt Nam. Với các tính năng tìm kiếm nâng cao, thống kê trực quan, so sánh đa chiều và chatbot trí tuệ nhân tạo hỗ trợ tư vấn, hệ thống giúp thí sinh và phụ huynh dễ dàng tiếp cận và phân tích thông tin tuyển sinh
This project is designed to extract text from documents and prepare it for processing by Large Language Models (LLM). Implemented a feature to store and utilize text style information, enabling the program to identify and segment content based on potential headers and titles.