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[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
NdLinear by Ensemble is a drop-in PyTorch module that shrinks your models with no accuracy loss. It powers the Ensemble Platform—upload any model and get back a smaller, faster version, ready to de…
Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)
A 120-day CUDA learning plan covering daily concepts, exercises, pitfalls, and references (including “Programming Massively Parallel Processors”). Features six capstone projects to solidify GPU par…
A curated list to learn about distributed systems
🚀 List of distributed system projects for inspiration and learning to build distributed services from real world examples
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
MAD: The first work to explore Multi-Agent Debate with Large Language Models :D
A curated list of awesome projects and papers for distributed training or inference
The First Generate-then-Read Framework for Multiple-Choice Question Answering in Medicine
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL…
Code for "DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation" (ACL 2024)
Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
😎 Awesome lists about all kinds of interesting topics
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
A collection of algorithms and data structures
吴恩达深度学习编程作业原版和答案
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Learn ML engineering for free in 4 months!
Contains Company Wise Questions sorted based on Frequency and all time
How to Make a Computer Operating System in C++