MACHINE LEARNING - AI Dynamics

Open-Source LLMs Match ChatGPT Performance in Text Annotation Tasks

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06 July 2023 3h51

Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks paper page: https://
huggingface.co/papers/2307.02
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… study examines the performance of open-source Large Language Models (LLMs) in text annotation tasks and compares it with proprietary

→ View original post on X — @_akhaliq

6 July 2023

Building Cooperative Embodied Agents with Large Language Models

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@_akhaliq

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06 July 2023 3h40

Building Cooperative Embodied Agents Modularly with Large Language Models

paper page: https://t.co/QGisKj2HWc

Large Language Models (LLMs) have demonstrated impressive planning abilities in single-agent embodied tasks across various domains. However, their capacity for planning… pic.twitter.com/cajVGEH6zq
— AK (@_akhaliq) 6 juillet 2023

Building Cooperative Embodied Agents Modularly with Large Language Models paper page: https://
huggingface.co/papers/2307.02
485
… Large Language Models (LLMs) have demonstrated impressive planning abilities in single-agent embodied tasks across various domains. However, their capacity for planning

→ View original post on X — @_akhaliq

6 July 2023

Flacuna: Enhancing Vicuna Problem-Solving with FLAN Fine-Tuning

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@_akhaliq

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06 July 2023 3h33

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning paper page: https://
huggingface.co/papers/2307.02
053
… Recently, the release of INSTRUCTEVAL has provided valuable insights into the performance of large language models (LLMs) that utilize encoder-decoder or

→ View original post on X — @_akhaliq

6 July 2023

ETH Zürich DLSC Course Introduction

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@miketamir

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06 July 2023 3h01

ETH Zürich DLSC: Course Introduction https://
bit.ly/3qTjAUD #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

6 July 2023

Recommendation for RLHF Technical Tutorial

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@rasbt

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06 July 2023 2h24

Great collection! And after the technical tutorials, I can highly recommend “How RLHF actually works”

→ View original post on X — @rasbt

6 July 2023

End-to-End Learning Limitations: The Unspoken Assumption of Hardware

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@rodneyabrooks

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06 July 2023 1h40

EndToEnd learning is a fetish, even with pre-training. Why not include the computer, along with the software, and have that learned? Why the distinction? BECAUSE it won't work. The innate computing machine is assumed. Y'all are playing an intellectual game, but don't discuss it.

→ View original post on X — @rodneyabrooks

6 July 2023

Domino Cloud Named 2023 Best SaaS Product for AI Analytics

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@dominodatalab

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05 July 2023 22h54

We're honored that Domino Cloud has been named to the 2023 short list for Best SaaS Product For Business Intelligence Or Analytics (USA). We're even more grateful for the chance to help our customers rapidly unleash #AI at scale. https://
domino.buzz/46DLvIA #MLOps #datascience

→ View original post on X — @dominodatalab

5 July 2023

Approximating Shapley Values for Machine Learning Interpretability

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@miketamir

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05 July 2023 21h01

Approximating Shapley Values for Machine Learning https://
bit.ly/3pbH7jl #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

5 July 2023

Essential Skills for Students in an AI-Powered World

By

@terence_mills

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05 July 2023 20h02

What Skills Should Students Learn in an AI-Powered World?
#AI #AIio #BigData #ML #NLU #Futureofwork @TopCyberNews @SpirosMargaris @MarshaCollier @MHiesboeck
@MHcommunicate @Fisher85M @MikeQuindazzi @NealSchaffer
http://
ow.ly/u9gO30svStM

→ View original post on X — @terence_mills

5 July 2023