A large Dataset of synchronised Audio, LyrIcs and vocal notes.
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Large scale Gaussian Mixture Models.
"a collaborative benchmark intended to probe large language models and extrapolate their future capabilities".
Framework that allows for the distributed processing of large data sets across clusters.
A visual and practical guide by Jay Alammar and Maarten Grootendorst.
A curated list of Large Language Model.
Making large AI models cheaper, faster and more accessible.
A project to make it easier to use large external knowledge bases with LLMs.
An international journal devoted to applications of statistical methods at large.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
An interactive eBook that compiles an extensive collection of research papers on large language model (LLM)-based multi-agent systems.
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Benchmarking Large Language Models.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
An open dataset with 30 trillion tokens for training Large Language Models.
Spark is a fast and general engine for large-scale data processing.
Large Language Model Text Generation Inference.
Interactive timeline visualization made by Information Is Beautiful.