Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a ...

“Robert” and “Bob” refer to the same first name but are textually far apart. Traditional string similarity functions do not allow a flexible way to account for such synonyms, abbreviations and aliases ...

French AI startup Mistral launched its new Mistral 3 family of open-weight models on Tuesday, a launch that aims to prove it can lead in making AI publicly available and serve business clients better ...

I was looking over the week’s posts on Hackaday – it’s part of my job after all – and this gem caught my eye: a post about how to make your own RP2040 development board from scratch. And I’ll admit ...

Rumor has it that Palantir Technologies is poised for a stock split. An analyst for RBC Capital Markets, the corporate and investment banking arm of the Royal Bank of Canada, recently polled investors ...

What an eventful few days. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. If you want to get ahead of the curve when trading stocks and shares, ...

You can access the Gemini API key for free and without having to set up cloud billing. Google has made the process straightforward. Currently, Google is offering Gemini Pro models for both text and ...

A JSON prompt is a simple text-based way to instruct an AI model using a JSON object so that tasks, constraints, and expected outputs are explicit and machine‑readable, which improves accuracy and ...

The parents of Adam Raine, who died by suicide in April, claim in a new lawsuit against OpenAI that the teenager used ChatGPT as his “suicide coach.” Warning: This article includes descriptions of ...

Abstract: Data wrangling (DW) is a fundamental step to prepare data for downstream mining tasks. Recent studies explore large language models (LLMs) to form a lightweight DW paradigm. Such studies ...

The companies that are succeeding with in-house AI, however, have seen revenue jump from zero to $20 million in a year. U.S. businesses have invested between $35 billion and $40 billion into internal ...