Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...
Explore how Indian firms are training Large Language Models, overcoming challenges with data, capital, and innovative ...
A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...
Tech Xplore on MSN
New 'renewable' benchmark streamlines LLM jailbreak safety tests with minimal human effort
As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...
Tech Xplore on MSN
Adaptive drafter model uses downtime to double LLM training speed
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
The focused large language model is designed to help provide caregivers and administrators answers to their questions based on their own organization's data, the vendor's chief data scientist ...
Weeks later, Microsoft announced strategic partnerships with chipmaker Nvidia and Anthropic, which agreed to buy over $40 billion (US$30 billion) of capacity on Microsoft’s Azure cloud as it ...
Security and safety guardrails in generative AI tools, deployed to prevent malicious uses like prompt injection attacks, can themselves be hacked through a type of prompt injection. Researchers at ...
Pretending the software is sentient makes it sound more powerful As with any piece of obsolete software, you might expect an outdated AI model to just be switched off. Anthropic, however, argues that ...
LangChain co-founder and CEO Harrison Chase explains why harness engineering — not just smarter models — is what gets AI agents from prototype to production.
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