Artificial Intelligence

AI Research

Discover the latest AI research & find out how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy, all thanks to expert articles that include discussion on the potential, limits and consequences of AI.

Artificial Intelligence

Top news of the week: 14.12.2022.

Learning
Intelligence
Task
Machine learning
Competition
Language

@janexwang shared
On Dec 9, 2022
Massive datasets are important for LLMs like #ChatGPT, but what gets lost is that human feedback is crucial! Great blog post explaining RLHF https://t.co/uaBfBIi9gD An even more sophisticated version of fine tuning LLMs from human feedback is work done by https://t.co/BYbkigZXn5
Open
Illustrating Reinforcement Learning from Human Feedback (RLHF)

Illustrating Reinforcement Learning from Human Feedback (RLHF)

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

@weballergy shared
On Dec 13, 2022
RT @GoogleAI: Introducing the Robotics Transformer 1, a multi-task model that tokenizes robot inputs and outputs actions to enable efficient inference at runtime. Learn how it improves zero-shot generalization to new tasks, environments and objects → https://t.co/hnsKvCJjmP https://t.co/g9QFXzjs9T
Open
RT-1: Robotics Transformer for Real-World Control at Scale

RT-1: Robotics Transformer for Real-World Control at Scale

To address these challenges, we propose the Robotics Transformer 1 (RT-1), a multi-task model that tokenizes robot inputs and outputs actions (e.g., camera images, task …

@erichorvitz shared
On Dec 9, 2022
RT @radamihalcea: Congrats to the new ACL fellows: Hinrich Schutze, Marti Hearst, Claire Gardent, James Allen, Owen Rambow, Yejin Choi, Maosong Sun, Tomek Strzalkowski, for their groundbreaking work in syntax, semantics, dialog, generation, commonsense, neural NLP. 🎉👏 https://t.co/TPA21pX9ev https://t.co/QxyfIZihha
Open
ACL Fellows 2022

ACL Fellows 2022

Claire Gardent Lorraine Research Laboratory in Computer Science and its Applications (LORIA), Centre National de la Recherche Scientifique (CNRS) For significant contributions to …

@jeremyphoward shared
On Dec 13, 2022
This is one of the best explanations I've ever seen of why the @fastdotai way works. "In a space where the two questions 'How does this work?' and 'How can it be made better?' are asked repeatedly, curiosity becomes muscle memory." Thank you @DSaience. https://t.co/0ONudO9CVk
Open
Not all heroes wear capes

Not all heroes wear capes

Impossible. That was the first word that came out of my mouth when I saw the course homepage for the first time. Impossible. There's no way that just anyone could learn deep learning. It ...

@mxlearn shared
On Dec 12, 2022
[D] G. Hinton proposes FF – an alternative to Backprop https://t.co/WYS2BWvQae
Open
[D] G. Hinton proposes FF – an alternative to Backprop

[D] G. Hinton proposes FF – an alternative to Backprop

57 votes and 26 comments so far on Reddit

@gdb shared
On Dec 11, 2022
Love the community explorations of ChatGPT, from capabilities (https://t.co/a3V6QuBEKM) to limitations (https://t.co/gvxdmD8dSW). No substitute for the collective power of the internet when it comes to plumbing the uncharted depths of a new deep learning model.
Open
f/awesome-chatgpt-prompts

f/awesome-chatgpt-prompts

This repo includes ChatGPT promt curation to use ChatGPT better. - GitHub - f/awesome-chatgpt-prompts: This repo includes ChatGPT promt curation to use ChatGPT better.

@NandoDF shared
On Dec 9, 2022
RT @arankomatsuzaki: VideoDex: Learning Dexterity from Internet Videos Outperforms various SotA methods on various manipulation tasks. proj: https://t.co/03NNSuMo1j abs: https://t.co/OClDxuXeuu https://t.co/4yrmx1Yaru
Open
VideoDex: Learning Dexterity from Internet Videos

VideoDex: Learning Dexterity from Internet Videos

To build general robotic agents that can operate in many environments, it is often imperative for the robot to collect experience in the real world. However, this is often not feasible due ...

@DeepMind shared
On Dec 8, 2022
📈 #AlphaCode’s performance was validated using popular coding competitions, each with over 5000 participants. It placed at about the level of the median competitor, marking the first time AI has achieved this level against human programmers. https://t.co/NyvnRkibNB https://t.co/5mQhPYkgko
Open
Competitive programming with AlphaCode

Competitive programming with AlphaCode

Solving novel problems and setting a new milestone in competitive programming.

Read more:
weekly 14.12.2022
View archives
Back to home

Subscribe to Artificial Intelligence - Research.

Avoid an information overload and get the most trusted industry news hand-picked by the top Experts. Sign up for the weekly Artificial Intelligence - Research.
Privacy Policy

Sign up for the weekly Artificial Intelligence - Research newsletter

Never again miss anything or anyone that matter in Artificial Intelligence

Sign up and receive the Artificial Intelligence - Research weekly email newsletter directly to your inbox. Make more informed business decisions based on insight for the most trusted industry experts, faster.
Privacy Policy