ΑΙhub.org
 

A list of resources, articles, and opinion pieces relating to large language models – August 2023 update

by and
16 August 2023



share this:

A black keyboard at the bottom of the picture has an open book on it, with red words in labels floating on top, with a letter A balanced on top of them. The perspective makes the composition form a kind of triangle from the keyboard to the capital A. The AI filter makes it look like a messy, with a kind of cartoon style.Teresa Berndtsson / Better Images of AI / Letter Word Text Taxonomy / Licenced by CC-BY 4.0.

We’ve collected some of the articles, opinion pieces, videos and resources relating to large language models (LLMs). Some of these links also cover other generative models. We will periodically update this list to add any further resources of interest. This article represents the third in the series. (The previous versions are here: v1 | v2.)

What LLMs are and how they work

Journal, conference, arXiv, and other articles

Newspaper, magazine, University website, and blogpost articles

Reports

Podcasts and video discussions

Focus on LLMs and education

Relating to art and other creative processes

Pertaining to robotics

Misinformation, fake news and the impact on journalism

Regulation and policy




Lucy Smith , Managing Editor for AIhub.
Lucy Smith , Managing Editor for AIhub.

Daniel Carrillo-Zapata was awarded his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.
Daniel Carrillo-Zapata was awarded his PhD in swarm robotics at the Bristol Robotics Lab in 2020. He now fosters the culture of "scientific agitation" to engage in two-way conversations between researchers and society.




            AIhub is supported by:


Related posts :



AI Fringe 2024 – event recordings available

Watch the half-day event in full.
20 June 2024, by

The Machine Ethics podcast: AI fictions with Alex Shvartsman

In this episode, Ben chats to Alex Shvartsman about generative AI, human vs AI authorship, our AI future, and more
19 June 2024, by

How to regularize your regression

Considering how to tune the norm-based regularization parameters in linear regression.
17 June 2024, by

Learning programs with numerical reasoning

Introducing a novel approach to efficiently learning programs with numerical values
13 June 2024, by

Interview with Tianfu Wang: A reinforcement learning framework for network resource allocation

Addressing resource allocation problems in the domain of network virtualization.
12 June 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association