Nature

A multimodal large language model for materials science

Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics and beyond. Integrating ...
ascopubs.org

Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial The recent advancements of ...
Nature

Learning physical interactions to compose biological large language models

Deep learning models have become fundamental tools in drug design. In particular, large language models trained on biochemical sequences learn feature vectors that guide drug discovery through virtual ...
InfoWorld

Large language models: The foundations of generative AI

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...
InfoWorld

How to test large language models

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...
Geeky Gadgets

AI Embeddings explained in depth

Tired of sifting through pages of irrelevant search results? What if you could find exactly what you’re looking for with just a few keystrokes? Enter AI embeddings—a fantastic option in the world of ...