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Understanding the capabilities, limitations, and societal impact of large language models
Understanding the capabilities, limitations, and societal impact of large language models
Email from Jeff Bezos to employees - About Amazon
Email from Jeff Bezos to employees About Amazon
Responding to the Oversight Board’s First Decisions - meta.com
Responding to the Oversight Board’s First Decisions meta.com
How Does News Feed Predict What You Want to See? - meta.com
How Does News Feed Predict What You Want to See? meta.com
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.
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.
Footer menu - Tesla - Tesla
Footer menu - Tesla Tesla
An Update on Facebook in Turkey - meta.com
An Update on Facebook in Turkey meta.com
Tesla Solar Inverter - Tesla
Tesla Solar Inverter Tesla
December 2020 Coordinated Inauthentic Behavior Report - meta.com
December 2020 Coordinated Inauthentic Behavior Report meta.com
Our Response to the Violence in Washington - meta.com
Our Response to the Violence in Washington meta.com
DALL·E: Creating images from text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
DALL·E: Creating images from text
We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
Wondery to join Amazon Music - About Amazon
Wondery to join Amazon Music About Amazon
Organizational update from OpenAI
It’s been a year of dramatic change and growth at OpenAI.
Organizational update from OpenAI
It’s been a year of dramatic change and growth at OpenAI.
Removing Coordinated Inauthentic Behavior from France and Russia - meta.com
Removing Coordinated Inauthentic Behavior from France and Russia meta.com