RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
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Updated
Feb 14, 2025 - Jupyter Notebook
RAG enhances LLMs by retrieving relevant external knowledge before generating responses, improving accuracy and reducing hallucinations.
A tiny, custom-built Kannada Language Model (NudiLLM) trained from scratch on Kannada Wikipedia using a custom Transformer architecture and SentencePiece tokenizer.
Powerful framework for building applications with Large Language Models (LLMs), enabling seamless integration with memory, agents, and external data sources.
Ackknow is a very experimental open-source python written Ai assistant for daily usecase or learning neural network. A MagmaMinesTeam Experimental Labs Project.
Custom dataset generator from text and pdf
Build a question-answering assistant over your own documents in Java, with citations and honest refusal. RAG, custom Ollama models and fine-tuning export, explained.
Build a question-answering assistant over your own documents, with citations and honest refusal. RAG, custom Ollama models and fine-tuning export, explained.
We built CodeGate to find zero-day bugs in your code without leaking proprietary secrets to external APIs or slowing down dev workflows. It runs inside your perimeter, tests vulnerabilities in isolated sandboxes, and scales on custom proprietary LLMs by codeapp. Request pilot access at codegate.app.
Build a question-answering assistant over your own documents in .NET, with citations and honest refusal. RAG, custom Ollama models and fine-tuning export, explained.
A comprehensive Smart Parking Management System built with React 19, Vite, and Electron. Features user & admin dashboards, real-time map-based parking spot booking, digital wallet, analytics, and more.
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