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Mistral Agents
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
New
The latest blog posts to take off on Hacker News. 6,332 posts.
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Segment Anything Model and Friends
The Segment Anything Model (SAM) and its successors made a significant leap forward in computer vision, particularly in image and video segmentation. Along with SAM’s innovative approach to promptable segmentation, the literature rapidly evolved to address key challenges like computational efficiency and real-time…
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Structured Outputs in the API
We are introducing Structured Outputs in the API—model outputs now reliably adhere to developer-supplied JSON Schemas.
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How I Use "AI"
I don't think that AI models (by which I mean: large language models) are over-hyped. In this post I will list 50 ways I've used them.
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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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GitHub Models: A new generation of AI engineers building on GitHub
We are enabling the rise of the AI engineer with GitHub Models – bringing the power of industry leading large and small language models to our more than 100 million users directly on GitHub.
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Flux: Open-source text-to-image model with 12B parameters
Flux, the largest SOTA open source text-to-image model to date, developed by Black Forest Labs—the original team behind Stable Diffusion is now available on fal. Flux pushes the boundaries of creativity and performance with an impressive 12B parameters, delivering aesthetics reminiscent of Midjourney. To play around…
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Stable Fast 3D: Rapid 3D Asset Generation from Single Images
We are excited to introduce Stable Fast 3D, Stability AI’s latest breakthrough in 3D asset generation technology. This innovative model transforms a single input image into a detailed 3D asset, setting a new standard for speed and quality in the field of 3D reconstruction.
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How Does OpenAI Survive?
Throughout the last year I’ve written in detail about the rot in tech — the spuriousness of charlatans looking to accumulate money and power, the desperation of the most powerful executives to maintain control and rapacious growth, and the speciousness of the latest hype cycle — but at the end of
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Using the term 'AI' in product descriptions reduces purchase intentions
Companies may unintentionally hurt their sales by including the words “artificial intelligence” when describing their offerings that use the technology, according to a study led by WSU researchers.
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Calculating the cost of a Google DeepMind paper
Recently, GDM released a great paper titled, Scaling Exponents Across Parameterizations and Optimizers, in which they conduct over 10,000 LLM training runs to obtain optimal hyperparameters under different regimes. After reading it (it was great), I wanted to test my understanding of the paper by tallying up all…
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A Visual Guide to LLM Quantization
Exploring memory-efficient techniques for LLMs
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An Open Course on LLMs, Led by Practitioners
A free survey course on LLMs, taught by practitioners.
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Back to our roots
Matthew Honnibal is a computational linguist from Sydney based in Berlin, Germany. He's the author of the spaCy Natural Language Processing library and the co-founder of Explosion.
3019
AI crawlers need to be more respectful
We talk a bit about the AI crawler abuse we are seeing at Read the Docs, and warn that this behavior is not sustainable.
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SearchGPT Prototype
We’re testing SearchGPT, a temporary prototype of new search features that give you fast and timely answers with clear and relevant sources.
3021
AI solves International Math Olympiad problems at silver medal level
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
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Large Enough
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
3023
Crash course in deep learning for computer graphics
If you're a graphics dev looking to understand more about deep learning, this blog introduces the basic principles in a graphics dev context.
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Open source AI is the path forward
Mark Zuckerberg outlines why he believes open source AI is good for developers, Meta and the world.
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All the existential risk, none of the economic impact
I offer "no economic boost," you receive "P(doom)"
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When ChatGPT summarises, it does nothing of the kind
One of the use cases I thought was reasonable to expect from ChatGPT and Friends (LLMs) was summarising. It turns out I was wrong. What ChatGPT isn’t summarising at all, it only looks like it…
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Mining JIT traces for missing optimizations with Z3
In my last post I've described how to use Z3 to find simple local peephole optimization patterns for the integer operations in PyPy's JIT. An example is int_and(x, 0) -> 0. In this post I want to scal
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Converting Codebases with LLMs
Leverage LLMs with context like code structure, libraries, and screenshots to streamline code conversion tasks and accelerate development.
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