Popular GitHub Repositories for Cognitive Ethics

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

所有系统提示都需透明公开

Reliable LLM Memory for AI Applications and AI Agents

Simple and Distributed Machine Learning

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Add long-term memory to any AI in minutes. Self-hosted, open, and framework-free.

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

List of language agents based on paper "Cognitive Architectures for Language Agents"

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Azure AI Foundry (demos, documentation, accelerators).

Azure OpenAI (demos, documentation, accelerators).

workshop materials to build intelligent solutions on Open AI

Language, Knowledge, Cognition

Make Azure natural TTS voices accessible to any SAPI 5-compatible application.

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ? experience the forefront of progress in artificial intelligence with this repository!

Project Page For "Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement"

Deliver safe & effective language models

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"