Zero-shot transfer across 93 languages
To accelerate the transfer of natural language processing (NLP) applications to many more languages, we have significantly expanded and enhanced our LASER (Language-Agnostic SEntence Representation…
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,328 posts.
To accelerate the transfer of natural language processing (NLP) applications to many more languages, we have significantly expanded and enhanced our LASER (Language-Agnostic SEntence Representation…
From raw code to a model serving users: the data pipelines, training infrastructure, and evaluation work behind Replit’s language models.
This post is a high-level explainer for my Master’s thesis, which involves designing hardware architectures for ultrafast inference and online learning using the Kolmogorov-Arnold Network (KAN) architecture. I’ll assume familiarity with standard machine learning concepts, as well as some understanding of hardware and…
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Spend enough time in the tech world and you will sooner or later find that itis a common article of faith that comput...
Venture capital is screwed. A bubble in AI is their last hope, and they’re betting everything on Sam Altman. It’s heartwarming. Today, we have the Pitchbook-NVCA Venture Monitor for Q1 2025. This i…
[On-line document since 2007, last updated in September 2026] [Translations: 中文 , Español , lietuvių kalba ]
Study reveals 75 percent of the world’s industrial fishing vessels are hidden from public view
An unreleased Claude model improved the lower bound for the fraction of zeroes of the Riemann zeta function that satisfy the hypothesis, raising it from 41.6% to 67.2%.
Colab will soon add AI coding features like code completions, natural language to code generation and even a code-assisting chatbot.
LaMDA adds pieces to one of the most tantalizing sections of the language puzzle: conversation.
TL;DR: Giving LLMs the full output of tool calls is costly and slow. Output schemas will enable us to get structured data, so we can let the LLM orchestrate ...
An independent nonprofit research lab, whose mission is to enable universal literacy in a humane dynamic medium. This involves inventing a humane form of computing, and developing educational and community-based institutions in which a culture can grow. [more]
Zyphra is excited to release Zamba2-7B, a state-of-the-art small language model. At the 7B scale, we outperform the leading models of Mistral, Google’s Gemma and Meta’s Llama3 series in both quality and performance.
For many of us, Bayesian statistics is voodoo magic at best, or completely subjective nonsense at worst. Among the trademarks of the…
GraphRAG, a graph-based approach to retrieval-augmented generation (RAG) that significantly improves question-answering over private or previously unseen datasets, is now available on GitHub. Learn more:
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1.6万亿总参大模型,训练全程由国产芯片完成
Digital inpainting can extend or repair photos, artwork, and other images. See how it works in the Wolfram Language, and try it yourself.
Learn how to perform face recognition using OpenCV, Python, and dlib by applying deep learning for highly accurate facial recognition.
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
There has been much anticipation around AMD's flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA's Hopper architecture in real-world AI workloads? We have some exciting early results to share. For the past month, TensorWave and MK1 have worked closely to…
Calibrate your enthusiasm
When OpenAI announced GPT-3 & its public beta I was fascinated but didn’t have an API key. I played with everything free that was built with GPT-3. Naturally, when I heard about GitHub Copilot I signed up for the waitlist and a few months later, I got access!
AWS S3 Vectors aims for 90% cost savings for vector storage. But will it kill vectordbs like Milvus? A deep dive into costs, limits, and the future of tiered storage.
09 Apr 2026 The Vercel Plugin on Claude Code wants to read all your prompts!
Deep learning has been built around backprop, the only credit assignment algorithm capable of training modern neural nets, including transformer-based language models. Backprop requires differentiability and produces first-order gradients, and deep learning’s architectures, optimizers, and hardware have co-evolved…
Ever since Golden Gate Claude I’ve been fascinated with “steering”: the idea that you can guide LLM outputs by directly manipulating the activations of the…
This article explains how these four things fit together and shows some examples of what they are used for. Derivatives Derivatives are the most fundamental concept in calculus. If you have a funct…
Can Gemini 2.5 replace CNN for object detection?