The Next Input updates
Browse every published The Next Input update in a calm card overview with images, dates, and direct access to each article.
The Next Input update
TruthfulQA: Measuring how models mimic human falsehoods
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The Next Input update
Helen Toner joins OpenAI’s board of directors
Today, we’re excited to announce the appointment of Helen Toner to our board of directors.
The Next Input update
OpenAI Codex
We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.
The Next Input update
Introducing Triton: Open-source GPU programming for neural networks
Title: Introducing Triton: Open-source GPU programming for neural networks
The Next Input update
Evaluating large language models trained on code
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Improving language model behavior by training on a curated dataset
Our latest research finds we can improve language model behavior with respect to specific behavioral values by fine-tuning on a small, curated dataset.
The Next Input update
OpenAI Scholars 2021: Final projects
Title: OpenAI Scholars 2021: Final projects
The Next Input update
Will Hurd joins OpenAI’s board of directors
OpenAI is committed to developing general-purpose artificial intelligence that benefits all humanity, and we believe that achieving our goal requires expertise in public policy as well as technology. So, we’re delighted to announce that Congressman Will Hurd has joined our board of directors.
The Next Input update
GPT-3 powers the next generation of apps
Title: GPT-3 powers the next generation of apps
The Next Input update
Multimodal neurons in artificial neural networks
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The Next Input update
Understanding the capabilities, limitations, and societal impact of large language models
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The Next Input update
Scaling Kubernetes to 7,500 nodes
We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models.
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