Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

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 ...

As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...

Abstract: Recent advancements in Natural Language Processing (NLP) and large language models (LLMs) have revolutionized clinical and healthcare applications. Given the domain's need for precision, ...

This study included 9 models: Llama 3.2 Vision 90B, Claude 3.5 Sonnet, Claude 3.7 Sonnet, Gemini 2.0 Pro Experimental, Perplexity, CXR-LLaVA, XrayGPT, BiomedCLIP, MedRAX. Each model determined ...

The United States power grid- already an engineering marvel of so much more than poles and wires- is becoming increasingly complex. Data centers and industrial growth are driving increased demand amid ...

Abstract: Paraphrase identification remains a key Natural Language Processing (NLP) task, with the Microsoft Research Paraphrase Corpus (MRPC) dataset widely used for evaluating model performance.

Please provide your email address to receive an email when new articles are posted on . Large language models can help ensure you are providing evidence-based care. Getting the right answer out of ...

Only about 1 in 10 domains in the dataset had llms.txt. Citation rates didn't change based on whether a site used the file. Adding llms.txt is low effort, but the data suggests you should not expect a ...

A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...