Weaviate 1.22 Release
Weaviate 1.22 released with nest object storage, async indexing, further gRPC support, and more!
Simulated Spotify Listening Experiences for Reinforcement Learning with TensorFlow and TF-Agents
Posted by Surya Kanoria, Joseph Cauteruccio, Federico Tomasi, Kamil Ciosek, Matteo Rinaldi, and Zhenwen Dai – Spotify
Introduction
Many of our music recommendation problems involve providing users with ordered sets of items that satisfy users’…
DALL·E 3 is now available in ChatGPT Plus and Enterprise
We developed a safety mitigation stack to ready DALL·E 3 for wider release and are sharing updates on our provenance research.
Building a board game with the TFLite plugin for Flutter
Posted by Wei Wei, Developer Advocate
In our previous blog posts Building a board game app with TensorFlow: a new TensorFlow Lite reference app and Building a reinforcement learning agent with JAX, and deploying it on Android with TensorFlow Li…
People of AI: Season 2
Posted by Ashley Oldacre
If you are joining us for the first time, you can binge listen to our amazing 8 episodes from Season 1 wherever you get your podcasts.
We are back for another season of People of AI with a new lineup of incredible gue…
Fuyu-8B: A Multimodal Architecture for AI Agents
We’re open-sourcing Fuyu-8B – a small version of the multimodal model that powers our product.
How to use retrieval augmented generation with ChromaDB and Mistral
In this post we’ll explore the basics of retrieval augmented generation by creating an example app that uses bge-large-en for embeddings, ChromaDB for vector store, and mistral-7b-instruct for language model generation.
Neural algorithmic reasoning
In this article, we will talk about classical computation: the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest path-finding, sorting, clever ways to break problems down into simpler problems, incredible ways to organise data for efficient retrieval and updates.