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100 % FREE, Private (No Internet) DeepSeek’s Advanced RAG: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe🚀
The book every data scientist needs on their desk.
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/mEkkMXFG
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
Examples and guides for using the Gemini API
A modular graph-based Retrieval-Augmented Generation (RAG) system
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Tools for merging pretrained large language models.
llama3 implementation one matrix multiplication at a time
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
LangChain & LangGraph AI PDF chatbot agent
High-Resolution Image Synthesis with Latent Diffusion Models
Orchestrate Spark Jobs from Kubeflow Pipelines and poll for the status.
A workshop with several modules to help learn Feast, an open-source feature store
Lightweight and Fast Feature Store Powered by Go (and Rust).
A repository to host extended examples and tutorials
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.
A sample project to demonstrate Istio's features
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Building ML Blocks with Kubeflow Orchestration with Feature Store.