Mini-Giants: "Small" Language Models and Open Source Win-Win

07/17/2023
by   Zhengping Zhou, et al.
0

ChatGPT is phenomenal. However, it is prohibitively expensive to train and refine such giant models. Fortunately, small language models are flourishing and becoming more and more competent. We call them "mini-giants". We argue that open source community like Kaggle and mini-giants will win-win in many ways, technically, ethically and socially. In this article, we present a brief yet rich background, discuss how to attain small language models, present a comparative study of small language models and a brief discussion of evaluation methods, discuss the application scenarios where small language models are most needed in the real world, and conclude with discussion and outlook.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/02/2023

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

We introduce OpenFlamingo, a family of autoregressive vision-language mo...
research
02/27/2023

The (ab)use of Open Source Code to Train Large Language Models

In recent years, Large Language Models (LLMs) have gained significant po...
research
03/04/2023

Could a Large Language Model be Conscious?

There has recently been widespread discussion of whether large language ...
research
08/12/2023

Three Ways of Using Large Language Models to Evaluate Chat

This paper describes the systems submitted by team6 for ChatEval, the DS...
research
12/08/2022

Structured Like a Language Model: Analysing AI as an Automated Subject

Drawing from the resources of psychoanalysis and critical media studies,...
research
08/22/2023

Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models

Large Language Models (LLMs) have revolutionized Natural Language Proces...
research
04/13/2023

Perspectives on Large Language Models for Relevance Judgment

When asked, current large language models (LLMs) like ChatGPT claim that...

Please sign up or login with your details

Forgot password? Click here to reset