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Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
A complete computer science study plan to become a software engineer.
A complete daily plan for studying to become a Google software engineer.
PnPXAI Framework: Simplifying AI Model Explanations with Algorithm Recommendation and Automatic Optimization
Master programming by recreating your favorite technologies from scratch.
Visualize the traffic of your clusters in realtime from Prometheus data
WebGL visualization for displaying animated traffic graphs
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
The official gpt4free repository | various collection of powerful language models | o3 mini and deepseek r1
Your hub for neuro-symbolic AI: Explore links, papers, and articles with a focus on AI cognition. Contribute and stay updated.
An open-source RAG-based tool for chatting with your documents.
Utilities intended for use with Llama models.
Machine Learning Engineering Open Book
Acceptance rates for the major AI conferences
Automatic Generation of Visualizations and Infographics using Large Language Models
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Latency and Memory Analysis of Transformer Models for Training and Inference
Performs benchmarking on two Korean datasets with minimal time and effort.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A beautiful, simple, clean, and responsive Jekyll theme for academics
A high-throughput and memory-efficient inference and serving engine for LLMs
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.
An open source implementation of CLIP.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step