Adapting to Large Language Models (LLM) presents challenges to brands, particularly due to the lack of transparency in their ...

Sid Probstein, CEO, SWIRL, led the Data Summit's session, 'Uncovering Data You Know is There But Can't Find,' exploring the ways in which LLMs can dramatically improve document retrieval.

Ollama launches its new custom engine for multimodal AI, enhancing local inference for vision and text with improved ...

Once poised to rival GPT-4.5 and Claude 3, Meta’s most powerful LLM is now delayed, highlighting the steep challenges of ...

You can predict the probability of success of a startup based on team dynamic, past business successes and industry knowledge ...

In this interview, Nansen CEO Alex Svanevik details the platform’s AI evolution and strategic expansion into multi-chain blockchain analytics.

Non-Deterministic Security Challenge: Unlike traditional cybersecurity threats, prompt injection attacks exhibit unpredictable success rates due to the non-deterministic nature of LLMs. A prompt ...

The newly launched Army Enterprise Large Language Model Workspace is a generative AI platform that showcases how the Army is harnessing ...

During the Data Summit's Day 2 keynotes, Andreas Welsch, founder and chief AI strategist, Intelligence Briefing, and Ebrahim Alareqi, principal machine learning engineer, Incorta, ruminated on the ...

The next wave of enterprise AI won’t be won through raw compute power alone. It will be led by organizations that rethink how ...

Over the next three years, 92% of organisations plan to increase their investment in artificial intelligence (AI) ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for ...