Mapping the mind of a state-of-the-art LLM like Claude may be a nontrivial undertaking, but that doesn’t mean the process is entirely the domain of tech companies with loads of resources.

How techniques like model pruning, quantization and knowledge distillation can optimize LLMs for faster, cheaper predictions.

Do you want your data to stay private and never leave your device? Cloud LLM services often come with ongoing subscription fees based on API calls. Even users in remote areas or those with ...

Our LLM students enjoy the best of both worlds. They can tailor their courses to their interests by selecting from an array of courses and specialize by taking a concentration in one of our five areas ...

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

From prompt injections to model theft, OWASP has identified the most prevalent and impactful vulnerabilities found in AI applications based on large language models (LLMs). The Open Worldwide ...

LLM AIs produce accurate "probabilistic maps" The third claim ups the ante ... be understood in a given context." With this in mind, the authors pivot to a quest for an "accepted benchmark ...

With AMD OLMo, AMD appears to target data centers and smaller organizations. Data centers running AMD Instinct GPUs are ...

meaning it’s sought to map regulatory requirements to technical ones, alongside an open source LLM validation framework that draws on this work — which it’s calling Compl-AI (“compl-ai ...

The LLM in International Commercial Law offers a wide-ranging study of transnational business transactions, international commercial arbitration, international trade rules, and market influences on ...