Large-scale, unstructured data preparation and handling functionality accelerates generative and predictive AI development and deployment BOSTON–(BUSINESS WIRE)–DataRobot, the provider of AI that ...

For years now, many AI industry watchers have looked at the quickly growing capabilities of new AI models and mused about ...

Ilya Sutskever, co-founder of OpenAI, thinks existing approaches to scaling up large language models have plateaued. For ...

Entry Scheme 2025. Eligibility criteria, application details, and training information for Short Service Commission ...

While several companies offer LLM-powered tools for data analysis, Connecty claims to stand out with its context graph-based approach.

This includes everything from real world reliability to the amount of energy and resources required to construct an LLM. That ...

Initially, datasets were openly shared, allowing the public to examine the content used for training. However, LLM companies tightly guard their data sources today, leading to new intellectual ...

ECE Assoc. Prof. Zheng Zhang among four potentially high-impact projects seeking to solve critical energy-efficiency challenges have been awarded more than $240,000 in cumulative funding related to ...

In this Disrupt Roundtable session, Siddharth Mall, Ian McDiarmid, and Kaushik PS from TELUS Digital dove deep into the ...

Letting organizations and researchers add their own information during training and fine tuning may help them develop LLMs better suited to their own needs. The chipmaker pre-trained the 1 billion ...

With over 1 billion parameters trained using trillions of tokens on a cluster of AMD’s Instinct GPUs, OLMo aims to challenge ...

AMD develops its own 1B-parameters OLMo large language model for a wide variety of applications that was trained on Instinct MI250 GPUs.