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The most popular blog posts about ai & machine learning on Hacker News. 6,328 posts.
MASSIVE dataset and Massively Multilingual NLU (MMNLU-22) competition and workshop will help researchers scale natural-language-understanding technology to every language on Earth.
The image alignment and registration pipeline takes two input images that contain the same scene from slightly different viewing angles. The picture above displays both input images side by side with the common scene (object) being the painting Las Meninas (1656) by Velázquez, currently at the Museo del Prado in…
Silver, a professor at University College London and Principal Research Scientist at DeepMind, is recognized as a central figure in the growing and impactful area of deep reinforcement learning, leading the team that developed AlphaGo.
“The What and Why of Adapter based Parameter Efficient Fine Tuning: Understanding Its Purpose and Significance”
Throughout our lives, we build up memories that are retained over a diverse array of timescales, from minutes to months to years to decades. When reading a book, we can recall characters who were introduced many chapters ago, or in an earlier book in a series, and reason about their motivations and likely actions in…
Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…
Senior engineers are best positioned to benefit from AI. We're good enough to avoid slop, and there's so much we can accomplish. I wouldn't go back.
GROUND TRUTH is an inside look at the development and deployment of self-driving technology, from the simulation labs to city streets.
Hot on the heels of my [CES Report](http://ideas.4brad.com/ces-2016-robocar-news) is the release of the latest article from Chris Urmson on [The View from the Front Seat of the Google Car](https://medium.com/@chris_urmson/the-view-from-the-front-seat-of-the-google-self-driving-car-chapter-4-d707b9e925d3#.6okyykxyq)…
Why do LLM pelicans look so alike? A visual look at diversity collapse and our research on creativity in UI design.
How new advances in the science of language understanding will help you find more useful information in Search.
What is agentic engineering? - Agentic Engineering Patterns
Accelerating TensorFlow 2 performance on Mac
I wondered how GPT-3 might do on the following problem: given a partially-connected graph, find a path between two nodes, or determine that no path exists. I wrote some code to automate generating …
People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.
Neural radiance fields provide state-of-the-art view synthesis quality but tend to be slow to render. One reason is that they make use of volume rendering, thus requiring many samples (and model queries) per ray at render time. Although this representation is flexible and easy to optimize, most real-world objects can…
Posted by Chia-Kai Liang, Senior Staff Software Engineer and Fuhao Shi, Android Camera TeamOne of the most important aspects of current smartphones...
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Why RLHF may still win out and why we haven't seen it yet in open-source.
Using ONNX with WebGPU and WebAssembly leads to 20x speedup over multi-threaded and 550x speedup over single-threaded CPU performance. Learn how.
Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed interest in ray tracing. Using these technologies vastly simplifies the…
BASED is a linear attention architecture that decodes without a KV-cache, delivering a 24x throughput improvement over Transformers with FlashAttention-2.
I originally wrote this guide in back in December 2017 for the OpenAI Fellows program
