Top Natural language processing Content - Upcarta

Video Apr 20, 2023

John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

by John Schulman

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Tweet Mar 30, 2023

There are several NLP tasks. Here are the most common ones, with example demos🔥: --A Thread-- 🧵

by mwiti

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Paper Feb 6, 2023

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning

by Pierre-Yves Oudeyer and 2 others

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Tweet Oct 23, 2023

So my👇 thread about our papers investigating the verification and self-critiquing inabilities of GPT4 has apparently resonated with a lot of folks. Here is a quick response to several issues raised (either in replies or other quote-tweet threads). [

by Subbarao Kambhampati (కంభంపాటి సుబ్బారావు)

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Article Oct 23, 2023

Embeddings: What they are and why they matter

by Simon Willison

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Paper Oct 23, 2023

Exploring the Boundaries of GPT-4 in Radiology

by Ozan Oktay and 2 others

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Paper Sep 21, 2023

Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning

by Tao Yu and 3 others

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Paper Sep 7, 2023

Large Language Models as Optimizers

by Chengrun Yang and 2 others

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Tweet Jul 1, 2023

People always ask if prompt engineering is going to go away over time. My short answer is "no". But, a more nuanced answer is that the goal of prompt engineering has evolved over time: from nudging a finnicky language model to do an "easy" task (2020

by Jason Wei

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Paper Jun 14, 2023

Unifying Large Language Models and Knowledge Graphs: A Roadmap

by Shirui Pan

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Article Jun 12, 2023

Embracing change and resetting expectations | Microsoft Unlocked

by Terence Tao

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Paper May 17, 2023

On the Role of Incidental Bilingualism in PaLM’s Translation Capability

by Eleftheria Briakou

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