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Universal and Transferable Attacks on Aligned Language Models
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Open-source observability for your LLM application, based on OpenTelemetry
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…
Robyn is a Super Fast Async Python Web Framework with a Rust runtime.
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
A system for quickly generating training data with weak supervision
The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
Cost monitoring for Kubernetes workloads and cloud costs
Python interface to the WebRTC Voice Activity Detector
Static checker for GitHub Actions workflow files
Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
🐍 mecab-python. you can find original version here:http://taku910.github.io/mecab/
Raft distributed consensus algorithm implemented in Rust.
Runs Trivy as GitHub action to scan your Docker container image for vulnerabilities
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
a collection of well-tested, serializable CRDTs for Rust
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A massively parallel, optimal functional runtime in Rust
A massively parallel, high-level programming language
🚂 🦀 The one-person framework for Rust for side-projects and startups
Creusot helps you prove your code is correct in an automated fashion.
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.