INNOVATION

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What Features Does Hugging Face Need in 2023?

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@clementdelangue

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15 January 2023 19h14

What do you want more of from @huggingface in 2023?

→ View original post on X — @garymarcus

LLMs: Commercial Viability Yet Problematic Detour from Trustworthy AI

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@garymarcus

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15 January 2023 18h38

with respect to the criteria I laid out, it has. Check the 10 issues I raised. Which have been solved? 1/10? In ten years, people will see LLMs commercially viable (yet problematic) but a detour relative to trustworthy AI. And even commercial value is still speculative.

Top trending ML papers from last week

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15 January 2023 18h31

Follow us @dair_ai for upcoming top trending ML papers of the week. ICYMI, here is the list of ML papers from last week:

DeepMatcher: Transformer Network Achieves State-of-the-Art Feature Matching

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15 January 2023 18h31

DeepMatcher is a transformer-based network showing robust local feature matching, outperforming the state-of-the-art methods on several benchmarks. 10 of 11

Transformers in Reinforcement Learning: A Comprehensive Survey

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15 January 2023 18h31

A Survey on Transformers in Reinforcement Learning 8 of 11

Scaling Laws for Generative Mixed-Modal Language Models

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15 January 2023 18h31

Introduces scaling laws for generative mixed-modal language models. 9 of 11

Large Language Models Simulate Universal Turing Machine with Memory

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15 January 2023 18h31

Investigates the use of existing LMs (e.g, Flan-U-PaLM 540B) combined with associative read-write memory to simulate the execution of a universal Turing machine. 7 of 11

DeepMind Tracr: Compiler Converting RASP to Transformer Weights

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15 January 2023 18h31

DeepMind proposes Tracr, a compiler for converting RASP programs into transformer weights. This way of constructing NNs weights enables the development and evaluation of new interpretability tools. 3 of 11

DreamerV3 Achieves Minecraft Diamond Collection Without Human Data

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15 January 2023 18h31

DreamerV3 is a general algorithm to collect diamonds in Minecraft from scratch without human data or curricula, a long-standing challenge in AI.

2 of 11https://t.co/pvsmnX3TPO
— DAIR.AI (@dair_ai) 15 janvier 2023

DreamerV3 is a general algorithm to collect diamonds in Minecraft from scratch without human data or curricula, a long-standing challenge in AI. 2 of 11