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907 articles on AI & ML.

11,892 articles
AI & ML — GitHub Copilot: Meet the new coding agent

GitHub Copilot: Meet the new coding agent

Implementing features has never been easier: Just assign a task or issue to Copilot. It runs in the background with GitHub Actions and submits its work as a pull request.

TDThomas DohmkeThomas Dohmke·May 19, 2025AI & ML
AI & ML — Accelerating GPU indexes in Faiss with NVIDIA cuVS

Accelerating GPU indexes in Faiss with NVIDIA cuVS

Meta and NVIDIA collaborated to accelerate vector search on GPUs by integrating NVIDIA cuVS into Faiss v1.10, Meta’s open source library for similarity search. This new implementation of cuVS will be more performant than classic GPU-accelerated search in some areas. For inverted file (IVF) indexing, NVIDIA cuVS outperforms classical GPU-accelerated IVF build times by up […]

CWChris Wiltz·May 8, 2025AI & ML
AI & ML — Function calling using LLMs

Function calling using LLMs

While LLMs excel at generating cogent text based on their training data, they may also need to interact with external systems. Function calling allows them to construct such calls. The LLM does not execute these calls directly, instead it creates a data structure that describes the call, passing that to a separate program for execution and further processing. The LLM's prompt includes details abou

KPKiran Prakash·May 6, 2025AI & ML
AI & ML — Join the Vercel AI Accelerator

Join the Vercel AI Accelerator

A six-week program to help you scale your AI company offering over $4M in credits from Vercel, v0, AWS, and leading AI platforms

VVercel·May 6, 2025AI & ML
AI & ML — Bringing streamable HTTP transport and Python language support to MCP servers

Bringing streamable HTTP transport and Python language support to MCP servers

We're continuing to make it easier for developers to bring their services into the AI ecosystem with the Model Context Protocol (MCP) with two new updates: support for the new Streamable HTTP transport in remote MCP servers and the ability to deploy Python-based MCP servers using FastAPI-MCP.

JMJeremy Morrell, Dan LapidJeremy Morrell, Dan Lapid·April 30, 2025AI & ML
AI & ML — Introducing AutoPatchBench: A Benchmark for AI-Powered Security Fixes

Introducing AutoPatchBench: A Benchmark for AI-Powered Security Fixes

We are introducing AutoPatchBench, a benchmark for the automated repair of vulnerabilities identified through fuzzing. By providing a standardized benchmark, AutoPatchBench enables researchers and practitioners to objectively evaluate and compare the effectiveness of various AI program repair systems. This initiative facilitates the development of more robust security solutions, and also encourage

CWChris Wiltz·April 29, 2025AI & ML
AI & ML — The Post-Developer Era

The Post-Developer Era

When OpenAI released GPT-4 back in March 2023, they kickstarted the AI revolution. The consensus online was that front-end development jobs would be totally eliminated within a year or two.Well, it’s been more than two years since then, and I thought it was worth revisiting some of those early predictions, and seeing if we can glean any insights about where things are headed.

JWJosh W. Comeau·April 14, 2025AI & ML
AI & ML — Introducing Chatbot Template

Introducing Chatbot Template

Chatbot is a free, open-source template, powered by Next.js and the AI SDK, that helps you build chatbot applications.

VVercel·April 9, 2025AI & ML
AI & ML — Meta Open Source: 2024 by the numbers

Meta Open Source: 2024 by the numbers

Open source has played an essential role in the tech industry and beyond. Whether in the AI/ML, web, or mobile space, our open source community grew and evolved while connecting people worldwide. At Meta Open Source, 2024 was a year of growth and transformation. Our open source initiatives addressed the evolving needs and challenges of […]

CWChris Wiltz·April 2, 2025AI & ML
AI & ML — How To Argue Against AI-First Research — Smashing Magazine

How To Argue Against AI-First Research — Smashing Magazine

Companies have been turning their attention to “synthetic,” AI-driven user testing. However, as convenient as it might seem, it’s dangerous, expensive, and usually diminishes user value. Let’s take a closer look at why exactly it is problematic and how we can argue against it to make a case for UX research with real users. Part of [Smart Interface Design Patterns](https://smart-interface-design-pa

VFVitaly FriedmanVitaly Friedman·March 28, 2025AI & ML
AI & ML — Using AI to create dynamic, risk-based Radar rules

Using AI to create dynamic, risk-based Radar rules

Last month, we improved our AI tooling to give you even more flexibility when combating fraud. Now, Radar’s new rules combine our machine learning models with the issuer’s CVC and postal code response in real time.

AGAdit GuptaAdit Gupta·March 27, 2025AI & ML
AI & ML — AI SDK 4.2

AI SDK 4.2

AI SDK 4.2 introduces MCP clients, reasoning, image generation with language models, message parts, sources, and more

VVercel·March 21, 2025AI & ML
AI & ML — How we built enterprise search to be secure and private

How we built enterprise search to be secure and private

Many don’t know that “Slack” is in fact a backronym—it stands for “Searchable Log of all Communication and Knowledge”. And these days, it’s not just a searchable log: with Slack AI, Slack is now an intelligent log, leveraging the latest in generative AI to securely surface powerful, time-saving insights. We built Slack AI from the…

IHIan HoffmanIan Hoffman·March 7, 2025AI & ML
AI & ML — Finding leaked passwords with AI: How we built Copilot secret scanning

Finding leaked passwords with AI: How we built Copilot secret scanning

Passwords are notoriously difficult to detect with conventional programming approaches. AI can help us find passwords better because it understands context. This blog post will explore the technical challenges we faced with building the feature and the novel and creative ways we solved them.

AMAshwin Mohan, Courtney ClaessensAshwin Mohan, Courtney Claessens·March 4, 2025AI & ML
AI & ML — Building multimodal AI for Ray-Ban Meta glasses

Building multimodal AI for Ray-Ban Meta glasses

Multimodal AI – models capable of processing multiple different types of inputs like speech, text, and images – have been transforming user experiences in the wearables space. With our Ray-Ban Meta glasses, multimodal AI helps the glasses see what the wearer is seeing. This means anyone wearing Ray-Ban Meta glasses can ask them questions about […]

CWChris Wiltz·March 4, 2025AI & ML