Open Sourcing Cody – Sourcegraph's AI-enabled editor assistant
Cody, Sourcegraph's AI-enabled editor assistant, is now open source.
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The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
Cody, Sourcegraph's AI-enabled editor assistant, is now open source.
Posted by Sagar Savla, Product Manager, Machine Perception The World Health Organization (WHO) estimates that there are 466 million people globally...
Over the past month it seems like Gaussian Splatting (see my first post ) is experiencing a Cambrian Gaussian explosion of new research. The seminal paper came out in July 2023, and starting about mid-November, it feels like every day there’s a new paper or two coming out, related to Gaussian Splatting in some way…
As of today I’ve completed my fifth course at Coursera, all but one being directly related to Machine Learning. The fact that you can now take classes given by many of most well known researchers i…
Posted on Monday 23 Dec 2024. 1,634 words, 1 link. By Matt Webb.
Posted by George Dahl, Research Scientist, Google Brain TeamRecently there have been many exciting applications of machine learning (ML) to chemist...
This post gives a beginner’s introduction to Chapel’s GPU programming features
I love services like Amazon Transcribe. They are the kind of just-futuristic-enough technology that excites my imagination the same way that magic does. It’s incredible that we have accurate, automatic speech recognition for a variety of languages and accents, in real-time. There are so many use-cases, and nearly all…
Deep neural networks (DNN) have made the news recently for their application as a predictive software used to create convincing fake videos of politicians and celebrities. You may not be aware, however, that you have most likely already used the same technology in a much less controversial form: the translation app on…
Understanding gradient boosting with interactive 3d-demonstrations
Sharing and reusing memory buffers is inescapable if we want high performance. It is a sharp but powerful tool.
Neural fields have quickly become an interesting and useful application of machine learning to computer graphics. The fundamental idea is quite straightforward: we can use neural models to represent all sorts of digital signals, including images, light fields, signed distance functions, and volumes.
Last summer , I participated in Google Summer of Code for the first time, working with GRAME on improving support for using the Faust audio programming language on the web .
A hands-on guide to natural language processing with Keras. Covers word2vec, sentiment classification, CNNs, RNNs, and LSTMs using the IMDb dataset in Python.
Applying probabilistic models to data usually involves integrating a complex, multi-dimensional probability distribution. For example, calculating the expectation/mean of a model distribution invol…
Bard is an early experiment from Google that lets you collaborate with generative AI. If you’re in the U.S. and U.K., you can sign up to try it.
Posted by John D. Co-Reyes, Research Intern and Yingjie Miao, Senior Software Engineer, Google Research A long-term, overarching goal of research i...
Good developers’ caution about agentic development comes from knowing that built isn’t the same as working in production.
We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.
Re: My AI Skeptic Friends Are All Nuts There was a post recently that was dissing AI Skeptics. While the post is funny at times, I feel like it’s absolutely and completely missing the point of the skepticism. Or at least I feel that it is glossing over some massive pain points of said skepticism. Let’s go over some of…
This post goes over the important and excellent new paper from Anthropic and Redwood Research, with Ryan Greenblatt as lead author, Alignment Faking in Large Language Models.
One year ago, we published a hypothesis that generative AI would become a profound platform shift in technology. Then came the firestorm.
Every AI tool has its strengths and weaknesses, and the only way to discover what they are is by using them.