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What every developer should know about GPU computing
A primer on GPU architecture and computing
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 789 posts.
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ChatGPT Explained: A normie's guide to how it works
Once you understand a few core concepts, modern chatbots are less mysterious.
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OpenAI's misalignment and Microsoft's gain
The end of a dramatic weekend in tech is that OpenAI has split and Microsoft is partnered with one and has hired the other; this is the ultimate failure case of what should have been a for-profit c…
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Prompt injection: what’s the worst that can happen?
Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire right now. Many of these applications are potentially vulnerable to prompt …
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PyTorch 2.0
We are excited to announce the release of PyTorch® 2.0 which we highlighted during the PyTorch Conference on 12/2/22! PyTorch 2.0 offers the same eager-mode development and user experience, while fundamentally changing and supercharging...
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OpenAI and Microsoft extend partnership
We’re happy to announce that OpenAI and Microsoft are extending our partnership.
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Do Machine Learning Models Memorize or Generalize?
An interactive introduction to grokking and mechanistic interpretability.
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Don't believe ChatGPT – we do not offer a "phone lookup" service
TL;DR ChatGPT claims we offer an API to turn a mobile phone number into the location of the phone. We do not.
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Teaching with AI
We’re releasing a guide for teachers using ChatGPT in their classroom—including suggested prompts, an explanation of how ChatGPT works and its limitations, the efficacy of AI detectors, and bias.
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This Voice Doesn't Exist – Generative Voice AI
We’re deploying our own generative model which lets users design entirely new synthetic voices. Discover more about generative voice AI
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Decomposing language models into understandable components
Interpretability research decomposing a transformer layer into thousands of interpretable features that can steer model behavior.
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Mozilla.ai: Investing in Trustworthy AI
We’re committing $30M to build Mozilla.ai: A startup — and a community — building a trustworthy, independent, and open-source AI ecosystem. We’re o
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What are transformer models and how do they work?
Explore the fundamentals of transformer models, which have revolutionized natural language processing.
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Can LLMs learn from a single example?
We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.
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The expanding dark forest and generative AI
Proving you're a human on a web flooded with generative AI content
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Patterns for building LLM-based systems and products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
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Claude 2
Claude 2 brings improved performance, a 100K token context window, and 2x better harmlessness, available via API and the claude.ai beta.
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Understanding GPT tokenizers
Large language models such as GPT-3/4, LLaMA and PaLM work in terms of tokens. They take text, convert it into tokens (integers), then predict which tokens should come next. Playing …
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We Found an Neuron in GPT-2
Written in collaboration with Joseph Miller. See the discussion of this post over on LessWrong.
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Could you train a ChatGPT-beating model for $85k and run it in a browser?
I think it’s now possible to train a large language model with similar functionality to GPT-3 for $85,000. And I think we might soon be able to run the resulting …
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Teaching ChatGPT to speak my son’s invented language
Becoming fluent in my son’s invented language was too difficult for me, so I decided to see how would AI do.
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LLaMA: A foundational, 65B-parameter large language model
Today, we’re releasing our LLaMA (Large Language Model Meta AI) foundational model with a gated release. LLaMA is more efficient and competitive with previously published models of a similar size on existing benchmarks.
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Extracting Hacker News book recommendations with the ChatGPT API
2023-10-12: I have written a followup with some details about the process used to generate this list: Extracting HN Book Recommendations with the ChatGPT API, Vol. II
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Software 2.0 (2017)
I sometimes see people refer to neural networks as just “another tool in your machine learning toolbox”. They have some pros and cons, they…
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Hacking Google Bard – From Prompt Injection to Data Exfiltration
Recently Google Bard got some powerful updates, including Extensions. Extensions allow Bard to access YouTube, search for flights and hotels, and also to access …
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Simply explained: How does GPT work?
By now, you have probably heard of OpenAI’s ChatGPT, or any of the alternatives GPT-3, GPT-4, Microsoft’s Bing Chat, Facebook’s LLaMa or even Google’s Bard. They are artificial intelligence programs that can participate in a conversation. Impressively smart, they can easily be mistaken for humans, and are skilled in a…
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A visual book recommender
Recreating the used bookstore experience via contrastive learning, t-SNE, and 100M book reviews.