TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) don’t deliver the reliability needed for production systems.The prompt-and-pray model—where business logic lives entirely in prompts—creates…
Welcome to our annual report on the usage of the O’Reilly learning platform. It’s been an exciting year, dominated by a constant stream of breakthroughs and announcements in AI, and complicated…
Despite its 31 days, December is a short month. It’s hard for announcements and happenings other than office parties to get attention. Fighting this trend, OpenAI made a series of…
Making quantum computers is really very difficult. The quantum bits, or qubits, are made up of superconducting circuits operating at thousands of a Kelvin above absolute zero, or individual atoms,…
Like just about everyone, we were impressed by the ability of NotebookLM to generate podcasts: Two virtual people holding a discussion. You can give it some links, and it will…
Alibaba’s latest model, QwQ-32B-Preview, has gained some impressive reviews for its reasoning abilities. Like OpenAI’s GPT-4 o1,1 its training has emphasized reasoning rather than just reproducing language. That seemed like…
It’s the end of the year for Radar! We hope all of our readers enjoy the holidays. Here’s one prediction for 2025: Is this the end of the road for…
There is a crisis in technical education. The golden road to a career has always been through a college education. However, this “golden road” has developed deep cracks and is…
One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate”…
Between vacation, end-of-year projects, the coming holidays, and other hysteria, I haven’t come up with an article this month. So here’s a quick list of things that have amazed me…
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