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AI & ML — Who is LLM?

Who is LLM?

Is an LLM a stubborn donkey, a genie, a slot machine, or Uriah Heep?

MFMartin Fowler·July 22, 2025AI & ML
AI & ML — Using AI to make lower-carbon, faster-curing concrete

Using AI to make lower-carbon, faster-curing concrete

Meta has developed an open-source AI tool to design concrete mixes that are stronger, more sustainable, and ready to build with faster—speeding up construction while reducing environmental impact. The AI tool leverages Bayesian optimization, powered by Meta’s BoTorch and Ax frameworks, and was developed with Amrize and the University of Illinois Urbana-Champaign (U of I) […]

CWChris Wiltz·July 16, 2025AI & ML
AI & ML — From Googlebot to GPTBot: Who’s crawling your site in 2025

From Googlebot to GPTBot: Who’s crawling your site in 2025

From May 2024 to May 2025, crawler traffic rose 18%, with GPTBot growing 305% and Googlebot 96%. This blog post explores crawling activity focused on AI and search web crawlers, and how 14% of top domains now use robots.txt rules to manage them.

JTJoao Tome, JorgeJoao Tome, Jorge·July 1, 2025AI & ML
AI & ML — Introducing Roast: Structured AI workflows made easy (2025) - Shopify

Introducing Roast: Structured AI workflows made easy (2025) - Shopify

Roast is a convention-oriented workflow orchestration framework designed specifically for creating structured AI workflows that interleave AI prompting with normal non-AI execution. It provides a declarative approach primarily using YAML configuration and markdown prompts, giving AI agents the guardrails they need to solve developer productivity problems at scale.

SEShopify Engineering·June 18, 2025AI & ML
AI & ML — Cloudflare service outage June 12, 2025

Cloudflare service outage June 12, 2025

Today, June 12, 2025, Cloudflare suffered a significant service outage that affected a large set of our critical services, including Workers KV, WARP, Access, Gateway, Images, Stream, Workers AI, Turnstile and Challenges, AutoRAG, and parts of the Cloudflare Dashboard.

JHJeremy Hartman, Cj DesaiJeremy Hartman, Cj Desai·June 12, 2025AI & ML
AI & ML — The no-nonsense approach to AI agent development

The no-nonsense approach to AI agent development

Learn how to build reliable, domain-specific AI agents by simulating tasks manually, structuring logic with code, and optimizing with real-world feedback. A clear, hands-on approach to practical automation.

VVercel·June 4, 2025AI & ML
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