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shub-kris
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The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
A unified evaluation framework for large language models
An example of using vscode, the remote development extension pack, and telepresence
Faster way to switch between clusters and namespaces in kubectl
A guidance language for controlling large language models.
Agentic components of the Llama Stack APIs
Data-Driven Evaluation for LLM-Powered Applications
Collection of helpful tips and tricks for VS Code.
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Adding guardrails to large language models.
Uncomplicated Observability for Python and beyond! 🪵🔥
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Video+code lecture on building nanoGPT from scratch
Literature references for “Designing Data-Intensive Applications”
Fast & more realistic evaluation of chat language models. Includes leaderboard.
The fastai book, published as Jupyter Notebooks
🪼 a python library for doing approximate and phonetic matching of strings.
A boilerplate for flask restful web service
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
Train transformer language models with reinforcement learning.
An educational resource to help anyone learn deep reinforcement learning.
FastAPI Best Practices and Conventions we used at our startup