Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,336 posts.
Continuing our Gaussian splatting development series, Director of Technology Sam Birley breaks down how we bypassed GPU Scene instance caps, implemented PlayCanvas Streamed SOG LODs, and managed GPU memory budgets for production-ready photogrammetry… bringing us to a point where the renderer has fin
Posted by Long Zhao, Senior Research Scientist, and Ting Liu, Senior Staff Software Engineer, Google Research An astounding number of videos are av...
A dive into the architecture and design of ProfileGPT, an app that allows users to analyze their user's profile and personality as seen by ChatGPT to raise awareness about data usage.
MIT professor Scott Aaronson discusses new Google experiments that suggest the D-Wave computer exploits quantum phenomena.
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.
Posted by Eric Jang, Software Engineer, Robotics at Google and Coline Devin, Berkeley PhD Student and former Research Intern From a remarkably youn...
Greedy algorithms are among the simplest and most intuitive algorithms known to humans. Their name essentially gives their description: do the thing that looks best right now, and repeat until nothing looks good anymore or you’re forced to stop. Some of the best situations in computer science are also when greedy…
Search BenchGecko research notes, methodology pages, benchmark sources, model rankings, pricing, compute, and company intelligence.
With this year’s International Conference on Machine Learning (ICML) being over, it is time to have another instalment of this series. Similar to last year’s post , I shall cover several papers that caught my attention because of their use of topological concepts—however, unlike last year, I shall not restrict the…
In this guide you'll learn how to perform real-time deep learning on the Raspberry Pi using Keras, Python, and TensorFlow.
Meta Edit 2/2/2016: I wrote this post when deeplearn-rs was only a week old. This is more of a journal post where I reflect on things. To…
This is a set of notes on the Quinn Emanuel report on Cruise's handling of the 2023-10-02 accident where a Cruise autonomous vehicle (AV) hit a pedestrian, stopped, and then started moving again with the pedestrian stuck under the bottom of the AV, dragging the pedestrian 20 feet. After seeing some comments about this…
A few months ago, we ran a benchmark on a traditional parser and Mistral 7B (Open Source LLM). The quality of the parsed result from Mistral 7B is quite impressive given it is only 7B parameters. One thing we weren't satisfied with is the processing time. Recently, I stumbled
CUDA (Compute Unified Device Architecture) is a closed-source low-level API that interfaces software with NVIDIA GPUs.
We’re launching Stargate Norway—OpenAI’s first AI data center initiative in Europe under our OpenAI for Countries program. Stargate is OpenAI’s overarching infrastructure platform and is a critical part of our long-term vision to deliver the benefits of AI to everyone.
Models are getting better and better, while the agents that drive them languish.
We benchmarked the deep learning performance of the latest NVIDIA RTX 3090 GPU.
To me, one of the most annoying parts of software engineering is writing code that doesn’t require thinking. It’s just a typing exercise, and that’s boring.
Personal blog of Omar Abid
We proudly introduce LeoLM ( L inguistically E nhanced O pen L anguage M odel), the first comprehensive suite of German-language Foundation Language Models t…
Comprehensive guide to understand the Serverless GPU Inference landscape.
Best of both worlds: Building an AI gatekeeper that knows exactly which tests to run for your code changes
I’ve been refraining from saying ‘vibe networking’ or ‘vibkrotik’ or some other abomination, but it is true - I have been using LLMs to setup a few networks these last few months, and things have generally gone over swimmingly.
Discover the English SDK for Apache Spark, making data analytics more accessible with simple English instructions powered by Generative AI.
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
Orchestrator-worker, blackboard, and pipeline patterns for coordinating multiple AI agents — with the failure modes that only show up once you go past a single-agent demo.
Edit – I posted this on Hackernews and got some valuable feedback. Many brought up the fact that you should be able to reuse the internal state of the compressor instead of recompressing the training …
