Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private ...

Content creators and IP holders are getting creative in order to fight back against the LLMs that are trawling their data ...

Running local AI models killed my subscription habit and freed up real money, and now I wish I would have started sooner.

The use of agentic orchestration in security-critical workflows without multi-layered defense architecture can lead to ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

Wikipedia recently published guidelines prohibiting the use of AI to generate or rewrite articles, except for two exceptions related to editing and translations. The guidelines acknowledges that ...

Join us for an exclusive FREE workshop hosted by the Touro University Graduate School of Technology: “What We Learned Building LLM‑Powered Text‑to‑SQL". This session explores why text‑to‑SQL remains a ...

As AI makes inroads into the worlds of editorial and media, websites are scrambling to establish ground rules for its usage. This week, Wikipedia banned the use of AI-generated text by its editors — ...

In this tutorial, we build a workflow using Outlines to generate structured and type-safe outputs from language models. We work with typed constraints like Literal, int, and bool, and design prompt ...

Abstract: Converting natural language questions into SQL queries (Text-to-SQL) enables non-expert users to interact with relational databases and has long been a central task for natural language ...

KittenTTS, developed by Kitten ML, is a compact and efficient text-to-speech (TTS) system designed for resource-constrained environments. As explained by Sam Witteveen, it operates seamlessly on edge ...