Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Speculative decoding has emerged as a potential solution for speeding up inferences using large language models (LLMs). However, training-based speculative methods require the creation of draft ...

This Account summarizes recent studies conducted by our group on developing AI-assisted visualized microspheres for biosensing analysis and highlights unique encoding–decoding strategies and various ...

Why do LLMs make stuff up? New research peers under the hood. Claude's faulty "known entity" neurons sometimes override its "don't answer" circuitry.

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Scaling problems Why AI language models choke on too much text Compute costs scale with the square of the input size. That's not great.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.

The researchers have proposed a segment-level encoding method to allow models with limited input capacity to process long-text inputs effectively. A preference decomposition approach is introduced, ...

ncoffee@buffalo.edu (716) 645-2154  Professor of Classics  Classics  College of Arts and Sciences ...