OpenAI was born to tackle the challenge of achieving artificial general intelligence (AGI). AGI is an AI capable of doing anything a human can do. The world as we know it would be altered by such technology. It has the potential to help us all if used properly, but it also has the potential to become the most lethal weapon in the wrong hands. That is why OpenAI has taken over this mission- to ensure it'd benefit everyone evenly: "Our…

Roughly a year ago, VentureBeat wrote about progress in the AI and machine learning field toward developing multimodal models, or models that can understand the meaning of text, videos, audio, and images together in context. Back then, the work was in its infancy and faced formidable challenges, not least of which concerned biases amplified in training datasets. But breakthroughs have been made. This year, OpenAI released DALL-E and CLIP, two multimodal models that the research labs claims are a "a step toward systems with [a] deeper understanding of the world." DALL-E, inspired by the surrealist artist Salvador Dalí, was trained to generate images from simple text descriptions.

The OpenAI team just presented WebGPT, a fine-tuned GPT-3 to answer long-form questions using a text-based web-browsing environment, which allows the model to search and navigate the web. The prototype copies how humans research answers to questions online: it submits search queries, follows links, and scrolls up and down web pages. It is trained to cite its sources, which makes it easier to give feedback to improve factual accuracy. WebGPT is part of the field of long-form question-answering (LFQA), in which a paragraph-length answer is generated in response to an open-ended question. LFQA systems have the potential to become one of the main ways people learn about the world, but currently lag behind human performance.

Latitude, the startup behind text game AI Dungeon, is expanding into a new artificial intelligence-powered game platform called Voyage. The company announced the closed beta on Friday, opening a waitlist for current AI Dungeon users. It's the next step for a company that began with a university hackathon project, but that ultimately hopes to help other people create their own games using trained AI models. AI Dungeon, which launched as AI Dungeon 2 in 2019, is powered by OpenAI's GPT-2 and GPT-3 text generation algorithms. To start, you generate some introductory text or write your own adventure setup.

OpenAI is making it easy for developers to "fine-tune" GPT-3, enabling custom models for their applications. The company says that existing datasets of "virtually any shape and size" can be used for custom models. A single command in the OpenAI command-line tool, alongside a user-provided file, is all that it takes to begin training. The custom GPT-3 model will then be available for use in OpenAI's API immediately. One customer says that it was able to increase correct outputs from 83 percent to 95 percent through fine-tuning.

I also run LitRPG Adventures, a set of advanced RPG generators and a growing library of RPG content generated by GPT-3 API from OpenAI. I have also published numerous fiction and tabletop RPG books on Amazon. I hope you find it useful!

A year after solidifying its partnership with AI research giant OpenAI by revealing that it will exclusively license the powerful GPT-3 language model, Microsoft showed what it plans to do with the license with the preview of its Azure Open AI Service. The service gives language model customers access to enterprise capabilities such as security, compliance and scale requirements. Microsoft also entered the competition for which vendor can build the largest language model by partnering with Nvidia to introduce the DeepSpeed and Megatron-powered Megatron-Turing Natural Language Generation Model. Both vendors claim that it is the largest and the most powerful language model so far. Soon after the birth of the Microsoft-Nvidia alliance, Nvidia competitor SambaNova said it would also provide a GPT AI-powered language model as part of its Dataflow-as-a-Service product for language.

OpenAI, the San Francisco, California-based lab developing AI technologies including large language models, today announced the ability to create custom versions of GPT-3, a model that can generate human-like text and code. Developers can use fine-tuning to create GPT-3 models tailored to the specific content in their apps and services, leading to ostensibly higher-quality outputs across tasks and workloads, the company says. "According to Gartner, 80% of technology products and services will be built by those who are not technology professionals by 2024. This trend is fueled by the accelerated AI adoption in the business community, which sometimes requires specifically tailored AI workloads," an OpenAI spokesperson wrote in an email. "With a single line of code, customized GPT-3 allow developers and business teams to run and train powerful AI models based on specific datasets, eliminating the need to create and train their own AI systems from scratch, which can be quite costly and time-intensive."

After years in limited beta with a long waitlist, OpenAI just announced that its GPT-3 API is now generally available to developers. So far, some upstarts with early access have been using GPT-3 to create and sell unique "personalities" for your NFT. But now that the API is truly open to all, the reality is that anyone can generate a GPT-3 powered "personality" by feeding it a few example texts. Whether OpenAI allows your particular use case to remain live is another story. Last summer, the Chronicle published a heartbreaking tale about a man who used a GPT-3 powered service to bring his dead fiancé back to life based on their texts.

【Keras 2 : コンピュータビジョン – Reptile による Few-Shot 学習】今回は Code examples の「コンピュータビジョン」から「Reptile による Few-Shot 学習」です。Reptile アルゴリズムはモデル不可知なメタ学習を遂行するために OpenAI により開発されたアルゴリズムです。このアルゴリズムは最小限の訓練 (few-shot 学習) で新しいタスクを遂行するために素早く学習するように設計されました。 [More]