What Makes a Dialog Agent Useful?
AI 速览 对话代理的实用性取决于其理解用户意图、提供准确信息及自然交互的能力。
人工智能
围绕「人工智能」分类汇集的全球近期技术动态与前沿报道。
3D Asset Generation: AI for Game Development #3
AI 速览 AI驱动的3D资产生成正成为游戏开发的重要方向，可自动化创建游戏3D模型与资产。
Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk
OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate how large language models might be misused for disinformation purposes. The collaboration included an October 2021 workshop bringing together 30 disinformation researchers, machine learning experts, and policy analysts, and culminated in a co-authored report building on more than a year of research. This report outlines the threats that language models pose to
AI for Game Development: Creating a Farming Game in 5 Days. Part 2
AI 速览 AI游戏开发实验：5天内创建农场游戏（第2部分）。
Delivering nuanced insights from customer feedback
Using GPT-3 to deliver fast, nuanced insights from customer feedback.
Fine-tuning GPT-3 to scale video creation
Fine-tuning GPT-3 to power and scale done-for-you video creation.
AI for Game Development: Creating a Farming Game in 5 Days. Part 1
AI 速览 AI辅助游戏开发：5天内创建一款农场游戏（第一部分）。
Creating next-gen characters
Using GPT-3 to create the next generation of AI-powered characters.
The power of continuous learning
Lilian Weng works on Applied AI Research at OpenAI.
Model Cards
AI 速览 “Model Cards”是用于记录AI模型性能、局限与预期用途的标准化文档框架。
New and improved embedding model
We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.
From GPT2 to Stable Diffusion: Hugging Face arrives to the Elixir community
AI 速览 Hugging Face扩展至Elixir社区，支持从GPT-2到Stable Diffusion的模型。
Introducing ChatGPT
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
Diffusion Models Live Event
Diffusion Models Live Event
Accelerating Document AI
AI 速览 文档AI加速发展。
Accelerate your models with 🤗 Optimum Intel and OpenVINO
AI 速览 Hugging Face推出Optimum Intel与OpenVINO集成方案，用于加速模型推理。
Evaluating Language Model Bias with 🤗 Evaluate
AI 速览 🤗 Evaluate推出语言模型偏见评估工具，用于系统检测和量化语言模型中的偏见。
Scaling laws for reward model overoptimization
AI 速览 OpenAI研究揭示奖励模型过度优化的缩放定律，为RLHF训练中平衡模型性能与奖励黑客风险提供理论指导。
Introducing DOI: the Digital Object Identifier to Datasets and Models
AI 速览 Hugging Face推出DOI（数字对象标识符）服务，为数据集和模型提供持久标识。
Very Large Language Models and How to Evaluate Them
AI 速览 超大规模语言模型及其评估方法。
How 🤗 Accelerate runs very large models thanks to PyTorch
AI 速览 Hugging Face的Accelerate库借助PyTorch实现了超大规模模型的运行。
How to train a Language Model with Megatron-LM
AI 速览 英伟达Megatron-LM提供大规模语言模型训练方案，支持张量并行、流水线并行等分布式技术。
OpenRAIL: Towards open and responsible AI licensing frameworks
AI 速览 OpenRAIL提出开放且负责任的AI许可框架，旨在规范AI模型的使用与分发。
Our approach to alignment research
We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.
Deploying 🤗 ViT on Vertex AI
AI 速览 Hugging Face ViT模型可通过Vertex AI部署。
Train and Fine-Tune Sentence Transformers Models
AI 速览 Hugging Face发布关于训练与微调Sentence Transformers模型的教程。
Comments on U.S. National AI Research Resource Interim Report
AI 速览 美国国家AI研究资源中期报告发布，相关方已提交评论意见。
Efficient training of language models to fill in the middle
AI 速览 OpenAI提出“填空”（Fill in the Middle）训练方法，可高效训练语言模型根据上下文补全中间内容。
A hazard analysis framework for code synthesis large language models
AI 速览 提出面向代码生成大语言模型的危害分析框架。
Deploying TensorFlow Vision Models in Hugging Face with TF Serving
AI 速览 Hugging Face与TensorFlow Serving集成，支持部署TensorFlow视觉模型。