LLMs, pretrained on extensive textual data, exhibit impressive capabilities in generative and discriminative tasks. Recent interest focuses on employing LLMs for multimodal tasks, integrating them with visual encoders for tasks like captioning, question answering,...

Regardless of a company’s niche, LLMs have enormous promise in areas such as data analysis, code writing, and creative text generation. The development of reliable LLM applications, however, has its challenges. Presently, there is a fragmented scope for LLM growth....

MIT researchers have proposed a method that combines first-principles calculations and machine learning to address the challenge of computationally expensive and intractable calculations required to understand the thermal conductivity of semiconductors, specifically...

Enhancing the reasoning capabilities of large language models (LLMs) is pivotal in artificial intelligence. These models, integral to many applications, from automated dialog systems to data analysis, require constant evolution to address increasingly complex tasks....

Snowflake has recently brought Snowflake SQL Copilot to the public preview. Snowflake SQL Copilot is a generative AI-powered SQL assistant that aims to revolutionize the way users interact with databases. With businesses relying more and more on colossal amounts of...

In Multi-modal learning, large image-text foundation models have demonstrated outstanding zero-shot performance and improved stability across a wide range of downstream tasks. Models such as Contrastive Language-Image Pretraining (CLIP) show a significant improvement...