Small Language Model tailored for edge devices.
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Creates, rewrites or summarizes written content with language models.
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.
Creates, rewrites or summarizes written content with language models.
A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
Semantic search and workflows powered by language models.
Natural Language processing in the browser.
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.
Connect your own data sources to a private AI powered tool and start asking in natural language.
Improving Factuality and Reasoning in Language Models with Multiagent Debate.
Benchmarking Large Language Models.
Creates, rewrites or summarizes written content with language models.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
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.
Creates, rewrites or summarizes written content with language models.
Extensible system for analyzing and manipulating natural language.
Creates, rewrites or summarizes written content with language models.