MACHINE LEARNING - AI Dynamics

LLMs Understanding: Missing World Models and Planning Abilities

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25 November 2023 21h27

Reposting this answer to a question from @geoffreyhinton about whether I think LLMs "understand" what they say.
I point out what I think is missing from current architectures to reach cat-level intelligence (never mind human level): world models and planning/reasoning abilities.

→ View original post on X — @ylecun

25 November 2023

Explore AI’s Diverse Technologies and Expand Your Knowledge

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@ingliguori

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25 November 2023 21h17

Dive into AI's diverse tech: Deep Learning NLP Machine Learning Computer Vision Neural Networks Cognitive Computing Expand your AI horizon with @ingliguori Get the insights: The Digital Edge https://
bit.ly/3u4pILl #AI #TechInnovation

→ View original post on X — @ingliguori

25 November 2023

Are Cats Trained Using Ontologies?

By

@ylecun

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25 November 2023 21h15

You mean, cats are trained with ontologies?

→ View original post on X — @ylecun

25 November 2023

Deep Learning Introduction for STEM Readers by Fleuret

By

@miketamir

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25 November 2023 21h01

François Fleuret's Homepage https://
bit.ly/48mIxJC
This is a short introduction to deep learning for readers with a STEM background, originally designed to be read on a phone screen. #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

25 November 2023

Advanced RAG Techniques for Semi-Structured Data Processing

By

@langchain

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25 November 2023 20h47

Advanced RAG – Semi Structured Data Good weekend read by `01coder` on how to do RAG over semi structured data Semi structured data is a combination of structured data (tables) and unstructured data (raw text) Blog:

→ View original post on X — @langchain

25 November 2023

Implementing Keras in Rust with .keras File Support

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@fchollet

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25 November 2023 20h19

If you're going to go that way, you might as well go all the way and implement most of Keras in Rust, with support for loading `.keras` files…

→ View original post on X — @fchollet

25 November 2023

A* vs MCTS: Planning Algorithms Explained by FAIR Researcher

By

@ylecun

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25 November 2023 18h32

Yuandong is one of several folks who have been working on planning at FAIR.
He explains the difference in applicability between A* (search for shortest path in a graph) and MCTS (search in an exponentially growing tree).

→ View original post on X — @ylecun

25 November 2023

Measuring representational capacity in AI models

By

@jxmnop

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25 November 2023 18h06

but why not? how do you measure representational capacity?

→ View original post on X — @jxmnop

25 November 2023

Neural Networks Optimize Industrial Sensor Data Processing

By

@fogoros

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25 November 2023 18h00

Sensor Raw Data Pre-Processing with Neural Networks Saves a Fortune! https://
ow.ly/zS0y50Q5ZcS #sponsored #polyn_iiot #digitaltransformation #iiot #AI #industry40 #sensor #sensortechnology #artificialintelligence @FogorosAndrei @CRudinschi via @fogoros

→ View original post on X — @fogoros

25 November 2023