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Lab Materials for MIT 6.S191: Introduction to Deep Learning
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
This is a workshop designed for Amazon Bedrock a foundational model service.
A curated list of awesome resources such as books, tuto 100EF rials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Dโฆ
NIST Collaborative Research Cycle on Synthetic Data. Learn about Synthetic Data week by week!
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
OpenTelemetry Instrumentation for AI Observability
Data-Driven Evaluation for LLM-Powered Applications
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! ๐ฆฅ
Curated list of datasets and tools for post-training.
Collection of google colaboratory notebooks for fast and easy experiments
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (Cโฆ
DSPy: The framework for programmingโnot promptingโlanguage models
Run safety benchmarks against AI models and view detailed reports showing how well they performed.
๐ A curated list of papers & technical articles on AI Quality & Safety
Code for the paper Fine-Tuning Language Models from Human Preferences
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
Ultra quick message queue and streaming server
Python version of the Playwright testing and automation library.