Due to the cumbersome nature of human evaluation and limitations of code-based
evaluation, Large Language Models (LLMs) are increasingly being used to assist humans in …

Generative models are a class of AI models capable of creating new instances of data by
learning and sampling from their statistical distributions. In recent years, these models have …

Large language models (LLMs) are increasingly applied in medical documentation and
have been proposed for clinical decision support. We argue that the future for LLMs in …

At face value, this essay is about understanding a fairly esoteric governance tool called
compute thresholds. However, in order to grapple with whether these thresholds will achieve …

In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a
transformative leap in data systems. The imminent fusion of AI and DB (AI× DB) promises a …

Over the past five decades, the relational database model has proven to be a scaleable and
adaptable model for querying a variety of structured data, with use cases in analytics …

The integration of Large Language Models (LLMs) into medical applications has sparked
widespread interest across the healthcare industry, from drug discovery and development to …

Large language model (LLM) serving is becoming an increasingly critical workload for cloud
providers. Existing LLM serving systems focus on interactive requests, such as chatbots and …

The ability of Large Language Models (LLMs) to generate structured outputs, such as JSON,
is crucial for their use in Compound AI Systems. However, evaluating and improving this …