#truthfulqa #efficientnet #laion400M
Your regularly irregular updates on what’s happening in the Machine Learning world.
OUTLINE:
0:00 – Intro
0:20 – TruthfulQA benchmark shines new light on GPT-3
2:00 – LAION-400M image-text-pair dataset
4:10 – GoogleAI’s EfficientNetV2 and CoAtNet
6:15 – Uber’s H3: A hexagonal coordinate system
7:40 – AWS NeurIPS 2021 DeepRacer Challenge
8:15 – Helpful Libraries
9:20 – State of PyTorch in September 2021
10:05 – Physics-Based Deep Learning Book
10:35 – Music-conditioned 3D dance generation
11:40 – Stallman’s take on legal issues with Codex
12:20 – Tensorflow DirectML on AMD GPUs
13:00 – Schmidhuber Blog: Turing Oversold
ERRATA:
Uber’s H3 is actually not new, but from 2018
References:
TruthfulQA – A benchmark assessing truthfulness of language models
LAION-400M image-text-pair dataset
GooleAI releases EfficientNetV2 and CoAtNet
Uber’s H3 hexagonal coordinate systems
NeurIPS 2021 DeepRacer Challenge
Helpful Libraries
State of PyTorch in September 2021
Physics-Based Deep Learning Book
Music Conditioned 3D dance generation
Richard Stallman on Codex legal issues
Tensorflow DirectML on AMD
Schmidhuber: Turing Oversold
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