NirDiamant
GenAI Consultant | Open Source Hub | Upwork: upwork.com/freelancers/~016cfe264764ea59ba
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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
README repo
Repositories
29Real-time observability dashboard for Claude Code — visualize your project's logic, track changes, and search with AI
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Self-host your Lovable project for free on Vercel. Step-by-step guide + automated migration script.
README repo
Real-time security for AI agents on Moltbook
PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
No description provided.
No description provided.
No description provided.
Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
repo for digital imaging course
implementation of the paper Nonparametric Blind Super-Resolution
No description provided.
No description provided.
This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
No description provided.
Instantly Retrieve Email Addresses and Usernames of Stargazers from Designated Repositories, Achieving Unparalleled Speed and Efficiency - All Without the Need for an API Key.
cloned-modified version of TheChosenOne from ZichengDuan
variety of examples of problem solutions using LLMs
No description provided.
Controllable-RAG-Agent using Langgraph
Browser-based tribute to Worms World Party - built with vanilla JS, HTML5 Canvas & Claude Code
Browser-based Simon memory game with neon visuals and synthesized audio. Built with Claude Code.