MACHINE LEARNING - AI Dynamics

RLHF reduces prompt engineering needs but unlocking full LLM potential requires prompting

By

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09 January 2023 13h11

useful counterpoint – RLHF diminishes the need for prompt eng for the median usecase, but the capabilities of LLMs are much more vast and will be unlocked with some amount of prompting (remains to be seen HOW MUCH engineering is required; is @langchain a feature or bug?)

→ View original post on X — @swyx

9 January 2023

Generative AI, LLMs, and ML in Production Conference 2026

By

@saboo_shubham_

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09 January 2023 12h25

Topics of discussion include: 1. Generative AI, LLMs, and ML in Production by @rasbt 2. AI and ML in Enterprise
3. The Economy of the Future
4. End to End MLOps Platforms Plus, certificates will be provided to those who attend this session!

→ View original post on X — @saboo_shubham_

9 January 2023

Free AI Conference on Generative AI and Large Language Models

By

@saboo_shubham_

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09 January 2023 12h25

AI in 2023 Learn about Generative AI, Large Language Models, and ML in Production at this FREE AI conference by @abacusai
! RSVP now https://
eventbrite.com/e/stateofthear
t-free-ai-conference-with-top-aiml-influencers-tickets-472810176967
…

→ View original post on X — @saboo_shubham_

9 January 2023

Could 90 Percent of Content Be AI-Driven by 2025?

By

@marcusborba

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09 January 2023 2h18

#CES: Could 90 Percent of Content Be #AI-Driven by 2025? https://
hollywoodreporter.com/movies/movie-n
ews/ces-ai-sag-aftra-1235290431/
… @THR #CES2023 #innovation #MachineLearning #DataScience #IoT #100DaysofCode #womenwhocode #serverless @CatherineAdenle @Shi4Tech @FmFrancoise @anijov @enilev #NLP #BigData #Analytics #DeepLearning

→ View original post on X — @marcusborba

9 January 2023

Functional Definition of Self-Awareness in AI Models

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@goodside

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08 January 2023 22h03

I'm saying "self-aware" is overloaded in meaning, and the idea is useful in a narrower, functional sense. It's useful to have a word for the model (seeming to) understand what it is, who created it, what its goals are, etc.

→ View original post on X — @goodside

8 January 2023

Dexterous Manipulation in Real Life Applications

By

@_yutaroyamada

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08 January 2023 21h34

dexterous manipulation in real life 👀 https://t.co/zOvBfvoeLi
— Yutaro Yamada (@_yutaroyamada) 8 janvier 2023

dexterous manipulation in real life

→ View original post on X — @_yutaroyamada

8 January 2023

Persistence: The Critical Virtue in Machine Learning Engineering

By

@gdb

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08 January 2023 20h38

Perhaps the single most important virtue in ML engineering is persistence. The ML engineering process is one of repeatedly checking & understanding every detail of the system, until it finally goes through a phase transition from "not working at all" to "working shockingly well".

→ View original post on X — @gdb

8 January 2023

GPT-3’s Imitation of Pathological Preferences in Reward Models Discussed

By

@goodside

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08 January 2023 20h33

To be fair, the point Gwern's making (not shown in the quote) isn't just "I don't like it" — it's that GPT-3 is capable of imitating pathological preferences in the reward model.

→ View original post on X — @goodside

8 January 2023

AI Breakthroughs 2022 Deep Learning Year in Review

By

@dotcsv

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08 January 2023 19h34

¡1er VÍDEO DEL AÑO! 2022 : EL AÑO DE LA INTELIGENCIA ARTIFICIAL Pero… ¿Por qué? Hoy os traigo el resumen perfecto que recoge los avances más interesantes del mundo del Deep Learning del año pasado LINK: https://
youtu.be/rKJdwLkPPPM Bienvenidos a mi AI-REWIND 2022

→ View original post on X — @dotcsv

8 January 2023