Machine Learning Street Talk (MLST)
A podcast by Machine Learning Street Talk (MLST)
Categorie:
190 Episodio
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#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence
Pubblicato: 08/11/2020 -
NLP is not NLU and GPT-3 - Walid Saba
Pubblicato: 04/11/2020 -
AI Alignment & AGI Fire Alarm - Connor Leahy
Pubblicato: 01/11/2020 -
Kaggle, ML Community / Engineering (Sanyam Bhutani)
Pubblicato: 28/10/2020 -
Sara Hooker - The Hardware Lottery, Sparsity and Fairness
Pubblicato: 20/10/2020 -
The Social Dilemma Part 3 - Dr. Rebecca Roache
Pubblicato: 11/10/2020 -
The Social Dilemma - Part 2
Pubblicato: 06/10/2020 -
The Social Dilemma - Part 1
Pubblicato: 03/10/2020 -
Capsule Networks and Education Targets
Pubblicato: 29/09/2020 -
Programming Languages, Software Engineering and Machine Learning
Pubblicato: 25/09/2020 -
Computation, Bayesian Model Selection, Interactive Articles
Pubblicato: 22/09/2020 -
Kernels!
Pubblicato: 18/09/2020 -
Explainability, Reasoning, Priors and GPT-3
Pubblicato: 16/09/2020 -
SWaV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (Mathilde Caron)
Pubblicato: 14/09/2020 -
UK Algoshambles, Neuralink, GPT-3 and Intelligence
Pubblicato: 07/09/2020 -
Sayak Paul
Pubblicato: 17/07/2020 -
Robert Lange on NN Pruning and Collective Intelligence
Pubblicato: 08/07/2020 -
WelcomeAIOverlords (Zak Jost)
Pubblicato: 30/06/2020 -
Facebook Research - Unsupervised Translation of Programming Languages
Pubblicato: 24/06/2020 -
Francois Chollet - On the Measure of Intelligence
Pubblicato: 19/06/2020
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).