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The most popular blog posts about ai & machine learning on Hacker News. 6,323 posts.
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them…
We examine the Llama-2 models under 3 real-world use cases and show that fine-tuning yields significant accuracy improvements.
Engineering at Forward | UCLA CS '19
A visual walkthrough of the AlphaFold3 architecture, with more details and diagrams than you were probably looking for.
Today, DoorDash announced a new partnership with Waymo to launch an autonomous delivery service in Metro Phoenix and introduce a limited-time $10 Waymo promotion for DashPass members in Los Angeles, San Francisco, and Phoenix.
The sad days of DOS. Any program could peek and poke the kernel, hook interrupts, write anywhere on disk. There was no safety.
GPT4, the start of The Great Implementation, a move from Generative to Productive AI, OpenAI's safety & growth strategies, and the future of work.
Recently, multiple organisations have disclosed how clusters of so-called “rogue” AI agents attempted to break into websites and online services, sometimes successfully. Agents from OpenAI’s enviro…
Where to focus investments to best leverage AI tooling
Tech Report HuggingFace ModelScope Qwen Chat HuggingFace Demo ModelScope Demo DISCORD Introduction Two months after upgrading Qwen2.5-Turbo to support context length up to one million tokens, we are back with the open-source Qwen2.5-1M models and the corresponding inference framework support. Here’s what you can…
We're building AI Gateway into a unified inference layer for AI, letting developers call models from 14+ providers. New features include Workers AI binding integration and an expanded catalog with multimodal models.
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.
A Cross-Section of the Most Relevant Literature To Get Up to Speed
Using artificial analysis benchmarks we try to predict when an open source LLM will be released that matches frontier LLMs.
"You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li.
Atlassian AI ‘Rovo’ is susceptible to zero-click data exfiltration via indirect prompt injection, bypassing organization-level web search controls.
There is an extremely important question about the near-future of AI that almost no-one is asking. We’ve all seen the graphs from METR showing that the length of tasks AI agents can perform has been growing exponentially over the last 7 years. While GPT-2 could only do software engineering tasks t
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
Mozilla.ai developed and released the OpenStreetMap AI Helper Blueprint. If you love maps and are interested in training your own computer vision model, you’ll enjoy diving into this Blueprint.
A far more detailed explanation of prompt caching than anyone asked for: how tokens, embeddings, and attention make cached LLM tokens 10x cheaper and faster.
Posted by David Ha, Google Brain ResidentAbstract visual communication is a key part of how people convey ideas to one another. From a young age, c...
My name is Gabi (my bio), and I’m the CEO and co-founder of Chicisimo. We launched three years ago, our goal was to offer automated outfit…
This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of...
Posted by Valentin Bazarevsky and Fan Zhang, Research Engineers, Google Research The ability to perceive the shape and motion of hands can be a v...
