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A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
An open-source framework for building voice and multimodal conversational AI applications.
An AI-powered personalized learning assistant that leverages large language models and multi-agent systems.
Source code for Twitter's recommendation algorithm, written in Python.
Fast, state-of-the-art tokenizers optimized for research and production in AI/ML applications
Kimi K2 is a large language model series developed by Moonshot AI team for AI-powered coding tools and applications.
An open-source platform for building AI-powered applications and tools.
This repository contains code examples for Stanford's TensorFlow for Deep Learning Research course.
Hackable and optimized Transformer building blocks for AI coding tools and libraries.
Minimal, clean Python implementation of the Byte Pair Encoding (BPE) algorithm for tokenization in LLMs.
Fully automatic censorship removal for large language models, enabling unconstrained text generation.
A Python library for efficient RAG (Retrieval-Augmented Generation) applications with AI-powered vector database and private storage.
A privacy-focused, open-source AI meeting assistant with faster transcription, speaker diarization, and summarization, built on Rust.
Pre-trained Chinese BERT model with whole word masking, useful for natural language processing tasks.
A curated list of practical guide resources for working with large language models (LLMs) and NLP.
A lightweight LLM framework that allows developers to build their own AI agents and workflows
Theano is a powerful Python library for defining, optimizing, and evaluating mathematical expressions efficiently.
A distributed system for running large language models (LLMs) on personal devices, enabling faster fine-tuning and inference.
A comprehensive Tensorflow 2.0 tutorial and learning resource for developers.
TimesFM is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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