VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Gizmodo

ChatGPT Wrote a Terrible Gizmodo Article

ChatGPT, the artificial intelligence fueled chatbot, has been widely acclaimed for its ability to interact with users and generate “human-like” text. Since its launch by OpenAI on Nov. 30, more than a ...
Houston Chronicle

Examples of a Scalable Business Model

Chances are, you will recognize this business model: a small-business owner signs a new client, hires more people to serve the client and, in the end, finds that the new revenue the client has ...
Health Affairs

A Decade of Value-Based Payment: Lessons Learned And Implications For The Center For Medicare And Medicaid Innovation, Part 2

In part 1 of this post, we discussed lessons concerning the development and implementation of VBP models. Here, part 2 discusses lessons regarding the refinement and expansion of VBP models, which are ...
National Academies of Sciences%2c Engineering%2c and Medicine

Models in Environmental Regulatory Decision Making

How does one judge whether a model or a set of models and their results are adequate for supporting regulatory decision making? The essence of the problem is whether the behavior of a model matches ...