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This project provides tools to load and prune large language models using a structured pruning method.
Probabilistic time series modeling in Python
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
Training Large Language Model to Reason in a Continuous Latent Space
Secure AI computer use powered by E2B Desktop Sandbox
Easy to use, High Performant Knowledge Distillation for LLMs
SDK & API Docs Generator. Sunset as of December 2024
Genertaes control vectors for use with llama.cpp in GGUF format.
⚙️ Convert HTML to Markdown. Even works with entire websites and can be extended through rules.
Financial instrument definitions built with Python and Pydantic
An open-source RAG-based tool for chatting with your documents.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highli…
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A framework to enable multimodal models to operate a computer.
Efficient Triton Kernels for LLM Training
[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
DOM to Semantic-Markdown for use with LLMs
Glisp is a Lisp-based design tool that combines generative approaches with traditional design methods, empowering artists to discover new forms of expression.
A modular graph-based Retrieval-Augmented Generation (RAG) system
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows