AI agents now operate across enterprise systems, creating new risk via prompt injection, plugins, and persistent memory. Here ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Snowflake performance within the NYSE Composite highlights quarterly earnings results, cloud data platform expansion, institutional activity, and competitive dynamics across enterprise analytics ...

by Rhea Purohit in AI & I TL;DR: Today, we’re releasing a new episode of our podcast AI & I, where Dan Shipper sits down with two members of the team building OpenAI’s coding agent, Codex, Thibault ...

Text to Music is an AI-powered process that converts written prompts into musical compositions. Instead of using instruments ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

CRM platform coverage explores HubSpot ecosystem features, sector adoption dynamics, and Russell 1000 classification context within enterprise software infrastructure and workflow integration trends.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

People management is just one such skill that Gilson deploys across his role as a senior data science manager, as part of a wider strategy of skill implementation.

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, and enhancing user experiences.

Building multimodal AI apps today is less about picking models and more about orchestration. By using a shared context layer for text, voice, and vision, developers can reduce glue code, route inputs ...