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How Imagen Works
Given a brief description of a scene, Imagen can generate photorealistic, high-resolution images of the scene. Learn everything you need to know about Imagen and how it works in this easy-to-follow guide.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,329 posts.
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RustAssistant: Using LLMs to Fix Compilation Errors in Rust Code
The Rust programming language, with its safety guarantees, has established itself as a viable choice for low-level systems programming language over the traditional, unsafe alternatives like C/C++. These guarantees come from a strong ownership-based type system, as well as primitive support for features like closures…
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Second version of HoloLens HPU will incorporate AI coprocessor
By Marc Pollefeys, Director of Science, HoloLens It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing. Opens in a new tab…
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ChatGPT has trouble giving an answer before explaining its reasoning
ChatGPT is a fancy auto-complete : what it does is finding the most likely continuation of text for the text it has already printed out (or as a reply for the prompt, when it is starting printing stuff out), according to the large corpus of text it has been trained with.
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The AI Great Leap Forward
In 1958, Mao ordered every village to produce steel. The steel was useless. The crops rotted. Today's top-down AI mandates are producing the same pattern: ba...
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Get an AI code review in 10 seconds
Personal Musings and Transcripts
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Gemini 2.5 Pro reasons about task feasibility
... in which a surprisingly reflective AI tells me no (for good reasons) ...
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TPU transformation: A look back at 10 years of our AI-specialized chips
Google has been a leader on AI development for more than a decade by also being a leader in chip development for more than a decade.
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Build a Basic AI Agent from Scratch: Long Task Planning
In the previous part of the Build A Basic AI Agent From Scratch series, we added the essential tools to our agent to allow it to work…
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EleutherAI One Year Retrospective
A look back at the first year of EleutherAI.
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Using AI to Animate Children’s Drawings
We’ve built a first-of-its-kind method for using AI to automatically animate children’s drawings of people.
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We created the first open source implementation of Meta's TestGen–LLM
Most LLMs that are competent at generating code, such as ChatGPT, Gemini, and Code Llama, are capable of generating tests.
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Nematode Neural System Uploaded to a Computer and Trained to Balance a Pole
TU Wien News. Press releases. Calendar of Events. University Gazette.
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High-reproducibility and high-accuracy method for automated topic classification
Much of human knowledge sits in large databases of unstructured text. Leveraging this knowledge requires algorithms that extract and record metadata on unstructured text documents. Assigning topics to documents will enable intelligent searching, statistical characterization, and meaningful classification. Latent…
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Show me the prompt
Quickly understand inscrutable LLM frameworks by intercepting API calls.
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Hello, Perceptron: An introduction to artificial neural networks
Generative AI tools like ChatGPT and Midjournery are able to replicate (and often exceed) human-like performance on tasks like taking exams, generating text and making art.
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Understanding Convolution in Deep Learning (2015)
Convolution is probably the most important concept in deep learning right now. It was convolution and convolutional nets that catapulted deep learning to the forefront of almost any machine learning task there is. But what makes convolution so powerful? How does it work? In this blog post I will explain convolution…
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Transformers Are Graph Neural Networks
Engineer friends often ask me: Graph Deep Learning sounds great, but are there any big commercial success stories? Is it being deployed in practical applications? Besides the obvious ones–recommendation systems at Pinterest, Alibaba and Twitter–a slightly nuanced success story is the Transformer architecture, which…
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Beginning deep learning with 500 lines of Julia
It has been a year and a half since I wrote the first version of this tutorial and it is time for an update. Knet (pronounced “kay-net”)...
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An introduction to zero-knowledge machine learning
Zero-Knowledge machine learning (ZKML) is a field of research and development that has been making waves in cryptography circles recently. But what is it and why is it useful? First, let's break down the term into its two constituents and explain what they are.
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Microsoft makes AI tool for better search available as an open source project
Only a few years ago, web search was simple. Users typed a few words and waded through pages of results.
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SpaCy v1.0: Deep Learning with custom pipelines and Keras
I'm pleased to announce the 1.0 release of spaCy, the fastest NLP library in the world. By far the best part of the 1.0 release is a new system for integrating custom models into spaCy. This post introduces you to the changes, and shows you how to use the new custom pipeline functionality to add a Keras-powered LSTM…
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Coding Self-Attention, Multi-Head Attention, Cross-Attention, Causal-Attention
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.
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Interactive GPU Programming, Part 2: Hello OpenCL
This is really the same article as Part 1 - Hello CUDA, but with the focus on OpenCL, so I'll skip most of the narration and just show you the code.
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Bot or human? Creating an invisible Turing test for the internet
Behavioral and cognitive patterns distinguish humans from bots. Explore interactive demos and a practical framework for invisible Proof of Human.