[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference
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Updated
Sep 27, 2024 - Python
[NeurIPS 2024] BLAST: Block Level Adaptive Structured Matrix for Efficient Deep Neural Network Inference
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
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)
Official Implementation of EAGLE-1 (ICML'24) and EAGLE-2 (EMNLP'24)
The all-in-one solution for RAG. Build, scale, and deploy state of the art Retrieval-Augmented Generation applications
ELM is a collection of utilities to apply Large Language Models (LLMs) to energy research.
Optimizing inference proxy for LLMs
Ongoing research training transformer models at scale
The FLB project aims to integrate Federated Learning (FL) with protocol technology to enhance data privacy and security in machine learning applications.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
LLMs4OL: Large Language Models for Ontology Learning
Train a mistral-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
a unified framework for leveraging LLMs
Open source project for data preparation of LLM application builders
SWIRL AI Connect: AI infrastructure software that powers your Search & Retrieval Augmented Generation (RAG) applications. Simplify and enhance your AI pipelines with seamless integration of large language models (LLMs) and data sources.
The official evaluation suite and dynamic data release for MixEval.
[arXiv'24] The official implementation code of LLMEmb
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