Large Language Models
We present a simple meta quantization approach that quantizes different layers of a large language model (LLM) at different bit levels, …
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
Reward models (RMs) have driven the state-of-the-art performance of LLMs today by enabling the integration of human feedback into the …
Low-resource extractive text summarization is a vital but heavily underexplored area of research. Prior literature either focuses on …
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code …
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
We present TapeAgents, an agent framework that leverages a structured, replayable log (tape) of the agent session to facilitate all …
This document serves as an overview of the different mechanisms and areas of governance in the BigCode project. It aims to support …
The extraction of a small number of relevant insights from vast amounts of data is a crucial component of data-driven decision-making. …
In this work, we present Lag-Llama, a general-purpose probabilistic time series forecasting model trained on a large collection of time …