12 - Fine-tuning | Mike Erlihson

(27:42)

Machine Learning in API Security: Potential and Main Challenges - Mike Erlihson (Salt Security)

(21:34)

23 - LLM theory | Mike Erlihson

(33:17)

Meetup 2.2.23 - Diffusion Models Overview by Mike Erlihson

(53:17)

NLP IL Meetup @ Big Panda #2, Michael(Mike) Erlihson - Transformers - Never ending story

(1:15:16)

NLP IL Journal Club - Diffusion Models with Mike Erlihson

(1:40:23)

Generation of Any Visual Data with Text2Image Diffusion Models: A Mirage or the Ultimate Reality

(27:30)

It’s all about Diffusion models 2.2.23

(1:42:31)

Meetup 2.2.23 - Denoising Diffusion Restoration Models by Bahjat Kawar

(46:45)

Attention is all you need; Attentional Neural Network Models | Łukasz Kaiser | Masterclass

(48:23)

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(39:29)

Computational Creativity Lecture 11: Denoising diffusion models

(57:4)

Diffusion Models in Image Restoration - Bahjat Kawar PhD Seminar

(58:14)

Concept Learning with Energy-Based Models (Paper Explained)

(39:29)

Expanding Minds

(3:47:49)

How to accelerate your LLM by breaking the memory wall - Yaniv Vaknin, Searchium.ai

(18:35)

Text Extraction From a Corpus Using BERT (AKA Question Answering)

(1:28:25)

BART: Denoising Sequence-to-Sequence Pre-training for NLG \u0026 Translation (Explained)

(18:17)

Intro to Transformers and Follow the Human Summarizer

(2:6:37)

Reimagining Protein Engineering Inspired by His Father: Mike Super

(5:21)

How to find the right mentor

(23)

Data Science #1 - Fisher RA. \

(1:17:)