Stars
A framework for few-shot evaluation of language models.
A framework for few-shot evaluation of autoregressive language models.
🔍 AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your da…
👩🏻🍳 A collection of example notebooks
Comparison of Language Model Inference Engines
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
A guidance language for controlling large language models.
Declarative Continuous Deployment for Kubernetes
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Initiative to evaluate and rank the most popular LLMs across common task types based on their propensity to hallucinate.
Drag & drop UI to build your customized LLM flow
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
A high-throughput and memory-efficient inference and serving engine for LLMs
LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Hidden Markov Models in Python, with scikit-learn like API