Accelerate your training with this open-source library. Optimize performance with streamlined training and serving options with JAX. 🚀

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

🖥️ Adds Widescreen + Fullscreen modes to ChatGPT for enhanced viewing

Build a natural language bot to complete any task and integrate with any system.

Language modeling and instruction tuning for Russian

Superfast AI decision making and intelligent processing of multi-modal data.

Transformer Architectures Comparison in Natural Language Generation Tasks

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

👮‍♂️The sensitive word tool for java.(敏感词/违禁词/违法词/脏词。基于 DFA 算法实现的高性能 java 敏感词过滤工具框架。请勿发布涉及政治、广告、营销、翻墙、违反国家法律法规等内容。高性能敏感词检测过滤组件，附带繁体简体互换，支持全角半角互换，汉字转拼音，模糊搜索等功能。)

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.

A minimalistic OpenAI API client for the JVM, written in Java

Bilingual Data Crawler for Nôm Script and Vietnamese Script

Build LLM-powered Dart/Flutter applications.

Connecting database and large language model to build various applications, mainly used for RAG or creating Agents.

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

[ACL 2024]CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling

Large Language Model Text Generation Inference

craft your feed at ease! 轻量级rss中间件, 提取全文, 翻译、摘要一站式服务

[ACL 2023] The code for our ACL'23 paper Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach