Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

Meta debuted its first major AI model, Muse Spark, spearheaded by chief AI officer Alexandr Wang, who joined nine months ago and leads Meta Superintelligence Labs. The company is desperate to regain ...

Arcee, a tiny 26-person U.S. startup that built a massive, 400B-parameter open source LLM on a $20 million shoestring budget, has released its new reasoning model. Arcee calls the model Trinity Large ...

For more than two decades, digital discovery has operated on a simple model: search, scan, click, decide. That worked when humans were the ones doing the web searching; but with the advent of AI ...

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

Abstract: The recent surge in open-source Multimodal Large Language Models (MLLM) frameworks, such as LLaVA, provides a convenient kickoff for artificial intelligence developers and researchers.

Production-grade multi-agent system that translates natural language into optimized SQL for AWS Athena, executes queries, generates business insights, creates visualizations, and supports data export.

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ...

Abstract: Text-to-SQL, as a hotspot in NLP, is a task of converting natural language text into the structured query language SQL, which makes database interaction more intuitive. This paper presents ...

That path gives you a working install, provider verification, a demo run, and a tool connection in a few minutes.