How do large language models (LLMs) develop and evolve over the course of training?
How do these patterns change as models scale? To answer these questions, we introduce …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Memorization, or the tendency of large language models (LLMs) to output entire sequences
from their training data verbatim, is a key concern for deploying language models. In …

Large language models that exhibit instruction-following behaviour represent one of the
biggest recent upheavals in conversational interfaces, a trend in large part fuelled by the …

Democratization of AI means not only that people can freely use AI, but also that people can
collectively decide how AI is to be used. In particular, collective decision-making power is …

Machine learning (ML) now pervades the field of Automated Program Repair (APR).
Algorithms deploy neural machine translation and large language models (LLMs) to …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

Generative AI (GAI) offers unprecedented possibilities but its commercialization has raised
concerns about transparency, reproducibility, bias, and safety. Many" open-source" GAI …

Generative AI (GAI) offers unprecedented opportunities for research and innovation, but its
commercialization has raised concerns about transparency, reproducibility, and safety …

A Inteligência Artificial (IA) tem se constituído como uma área do conhecimento que
convoca esferas multidisciplinares, apresentando-se como um dos horizontes mais …