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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 673 posts.
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Understanding and managing the impact of machine learning models on the web
This document proposes an analysis of the systemic impact of AI systems, and in particular ones based on Machine Learning models, on the Web, and the role that Web standardization may play in managing that impact.
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A review on protein language models
Protein “language” is a lot like human language. Given the similarities, researchers have been building and training language models on protein sequence data, replicating the success seen in other domains, with profound implications. In this post, I will explore how transformer models have been applied to protein data…
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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.
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Nemotron-4-340B
Nemotron-4 340B, a family of models optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM, includes cutting-edge instruct and reward models, and a dataset for generative AI training.
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Brave's AI assistant now integrates with PDFs and Google Drive
Today, we’re excited to announce we’ve completed another piece of the roadmap: Leo can now interact with PDFs and Google Drive files.
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LeftoverLocals: Listening to LLM responses through leaked GPU local memory
We are disclosing LeftoverLocals: a vulnerability that allows recovery of data from GPU local memory created by another process on Apple, Qualcomm, AMD, and Imagination GPUs. LeftoverLocals impacts the security posture of GPU applications as a whole, with particular significance to LLMs and ML models run on impacted…
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OpenAI: Start using ChatGPT instantly
We’re making it easier for people to experience the benefits of AI without needing to sign up
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Making AI better at math tutoring
Too many students struggle with math. In fourth grade, only 36% of students are proficient in math. By ... Read more
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Clojure's machine learning ecosystem
I had a really enlightening talk with Daniel Slutsky this week (who is an exceptional data scientist, software engineer, and community organizer I highly…
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Generating audio for video
Video-to-audio research uses video pixels and text prompts to generate rich soundtracks
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The "End of Programming" will look a lot like programming (2023)
Nobody wants “temperamental and mysterious” products, so what will AI-integrated software development look like?
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The story behind the NeuralRad organ and tumor segmentation cloud service
Late last month, I received a message.
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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.
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AI companies are pivoting from creating gods to building products
Turning models into products runs into five challenges
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Here lies the internet, murdered by generative AI
Corruption everywhere, even in YouTube's kids content
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Clio: A system for privacy-preserving insights into real-world AI use
Anthropic's new system, Clio, analyzes how people use AI while maintaining their privacy.
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The PlanetScale vectors public beta
You can now use the vector data type for vector search and storage in your PlanetScale MySQL database.
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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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Using a LLM to compress text
Introduction Large language models are trained on huge datasets of text to learn the relationships and contexts of words within larger documents. These relationships are what allows the model to generate text. Recently I've read concerns about LLMs being trained on copyrighted text and reproducing it. This got me…
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SceneScript, a novel approach for 3D scene reconstruction
Today, we’re introducing SceneScript, a novel method for reconstructing environments and representing the layout of physical spaces.
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…