Large language models (LLMs) are neural networks that can predict the next sequence of words, specialized for tasks like generating responses to questions.
LLMs work by representing words as vectors, capturing meanings and context efficiently using techniques like 'self-attention'.
To build an LLM, it goes through two stages: training (teaching the model to predict words) and fine-tuning (specializing the model for specific tasks like answering questions).
Drug companies are working on solutions to prevent muscle mass loss caused by weight-loss drugs like Ozempic. Doctors suggest simple fixes like increasing protein intake and weightlifting.
A recent study suggests that a special set of molecules on the extra X chromosome in women may make them more susceptible to autoimmune conditions. This discovery could lead to new, more targeted treatments.
Adam Neumann, the co-founder of WeWork, is in talks with a hedge fund to buy back the company out of bankruptcy. WeWork's bankruptcy was fueled by debt and a decline in demand for office space.
The newsletter included articles on U.S. resilience, life after affirmative action, and pickleball issues.
Topics covered in the newsletter included wind and solar power, legacy college admissions, and the impact of affirmative action on different racial groups.
There were articles on global events such as China restricting mineral exports, Singapore's falling home prices, and the personality profiles of high-net-worth individuals.