Modern LLMs are no longer restricted to text. Thanks to multimodal supervision, they can also process and generate images, ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

Analysts suggest that we need to shift from traditional WAFs and API gateways to dedicated security controls for LLM and ...

In this article, we demonstrate how to do this by creating a verifiable and replicable method of prompt science that aids in prompt engineering. Specifically, we take inspiration from a rich ...

AI advancements, particularly Large Language Models (LLMs) and other generative model types, unlock opportunities to develop applications faster through task automation and information processing.

Small language models should be more cost effective to deploy than LLMs, offering greater privacy, and performing specific or tightly-defined tasks. But is it early days for SLMs?

Dev creates official Clippy 'love letter' to query AI models on your box Clippy is back - and this time, its arrival on your ...

DBTA's latest webinar, Enabling Self-Service for Data Democratization, gathered experts to explore the technologies and best practices shaping how enterprises achieve true data democratization amid ...

Crawl4AI is the #1 trending GitHub repository, actively maintained by a vibrant community. It delivers blazing-fast, AI-ready web crawling tailored for LLMs, AI agents, and data pipelines. Open source ...

As part of an expanded partnership, the two tech vendors debuted Apriel Nemotron 15B, an open-source AI model built with ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working ...

In the era where LLM driven intelligence prevails, enterprise data platforms face emerging challenges from LLM application and AI development. To name a few, ...