Search Results for author:
Found 6 papers, 3 papers with code
KIMAs: A Configurable Knowledge Integrated Multi-Agent System
Knowledge-intensive conversations supported by large language models (LLMs) have become one of the most popular and helpful applications that can assist people in different aspects.
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models
The burgeoning field of foundation models necessitates advanced data processing mechanisms capable of harnessing vast valuable data with varied types utilized by these models.
BiMix: A Bivariate Data Mixing Law for Language Model Pretraining
Optimization of domain proportions yields superior model performance compared to existing methods.
UniDM: A Unified Framework for Data Manipulation with Large Language Models
In this paper, inspired by the cross-task generality of LLMs on NLP tasks, we pave the first step to design an automatic and general solution to tackle with data manipulation tasks.
AgentScope: A Flexible yet Robust Multi-Agent Platform
With the rapid advancement of Large Language Models (LLMs), significant progress has been made in multi-agent applications.
Data-Juicer: A One-Stop Data Processing System for Large Language Models
A data recipe is a mixture of data from different sources for training LLMs, which plays a vital role in LLMs' performance.
