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.
Weaviate is an open-source vector database with a built-in NLP model called the Contextionary. Learn what makes Weaviate unique.
After its release in August 2020, Deep Learning with PyTorch has been sitting on my shelf before I finally got a chance to read it during this winter break…
Learn how the AI-first vector database Weaviate unlocks the potential of unstructured data and why this is important.
With 2020 fading over the horizon, we can finally reflect on ‘what was’ versus ‘what could have been.’ It was undoubtedly the year of many upended plans, with countless surprises and course-changes along the way. But there’s one resounding takeaway from the last twelve months. And it’s unlikely to change this year: JavaScript has grown […]
Artykuł This Is The Year To Use JavaScript For Machine Learning, Here’s Why pochodzi z serwisu DLabs.AI.
December 2020 gwern.net newsletter with links on AI and technology; major new site feature: fully-generalized recursive popups.
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 recognize…
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.