Using Google’s code history to write more code
Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one l...
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 789 posts.
Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one l...
The evolution of the AI landscape, and YC's Copilot era.
A University of Toronto undergrad among an international team of researchers unleashing deep learning in the search for extraterrestrial civilizations.
Update 2025: The post below describes ChatGPT and similar LLMs as they functioned at the time of writing in 2023. More recent systems do have a behind-the-scenes “inner monologue” which enables them t
Demystifying and deconstructing Q&A bots that work over your data.
Part 1 of a multi-part series on using LLMs securely within your organisation. This post provides a framework to categorize risks based on different use cases and deployment type.
[Updated on 2023-01-24: add a small section on Distillation.] Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. They are powerful but very expensive to train and use. The extremely high inference cost, in both time and memory, is a big bottleneck for adopting a powerful…
Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more.
Large Language Models (LLMs) have a data freshness problem. Even some of the most powerful models, like GPT-4, have no idea about recent events. Let's learn how to fix this.
Introduction
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful comput
We make micrograd fly with a little compiler magic. In this post, we’ll write a ML compiler from scratch.
Historical research record. Fine-tuning against a modified noise, enables Stable Diffusion to generate very dark or light images easily.
Introducing new AI-powered products and tools from Google Maps Platform. Learn more
We introduce a novel sequential modeling approach which enables learning a Large Vision Model ( LVM ) without making use of any linguistic data. To do this, we define a common format, "visual sentences", in which we can represent raw images and videos as well as annotated data sources such as semantic segmentations…
ConvNets Match Vision Transformers at Scale
GPT-4 will change the world.
“The computer has long been a solution looking for problems—the ultimate technological fix which insulates us from having to look at problems.” – Joseph Weizenbaum (1983) Trying to kee…
Web publication for "PureJaxRL"
Cohere's platform was used to create an AI that would generate playable Magic The Gathering cards based only on a given name of each card.
In this post, I’ll iteratively optimize an implementation of matrix multiplication written in CUDA.My goal is not to build a cuBLAS replacement, but to deepl...
AI can predict certain forms of esophageal and stomach cancer Michigan Medicine study says.
The current paradigm will not lead to an overnight superintelligence explosion.
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Creating a ChatGPT interface for the Supabase documentation.
Voice AI platform ElevenLabs unveils new AI Dubbing feature - the biggest milestone yet in the company’s efforts to remove language barriers
Introducing LeMUR, our new framework for applying powerful LLMs to transcribed speech With a single line of code, LeMUR can quickly process audio transcripts for up to 10 hours worth of audio content, which effectively translates into ~150k tokens, for tasks like summarization and question answer.