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509 results

Summarized Science
This Simple Trick Made AI 20 Better at Math Instantly!

Training large language models (LLMs) is a tricky balancing act. Push them too hard and they become unstable be too cautious ...

3:35
This Simple Trick Made AI 20 Better at Math Instantly!

0 views

3 months ago

Michael Mol
Category Logic: A Blueprint for Machine Proof Mathematics

This video explores a groundbreaking approach to formalizing mathematics using Category Theory, aiming to bridge the gap ...

9:06
Category Logic: A Blueprint for Machine Proof Mathematics

25 views

5 months ago

DevConf
Language Model Post-Training in 2025: an Overview of Customization Options Today - DevConf.US 2025

Speaker(s): Mustafa Eyceoz Join us for an overview of all the latest methods of language model post-training openly available ...

35:44
Language Model Post-Training in 2025: an Overview of Customization Options Today - DevConf.US 2025

52 views

3 months ago

Journal Club
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.

3:32
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection

183 views

4 months ago

PyData Venice
PyDataVE #24 - #MachineLearning edition

We'll have two interesting sessions in English 🇬🇧: 🗣 Árpád Goretity and Oliver Kocsis will talk to us about #NPL solutions and ...

1:18:01
PyDataVE #24 - #MachineLearning edition

75 views

Streamed 1 month ago

PyData Venice
PyDataVE #24 - #MachineLearning edition 📱

We'll have two interesting sessions in English 🇬🇧: 🗣 Árpád Goretity and Oliver Kocsis will talk to us about #NPL solutions and ...

1:18:00
PyDataVE #24 - #MachineLearning edition 📱

60 views

Streamed 1 month ago

Ai Guru
Language Model Word Embeddings Backpropagation - Dropout, Regularization, N-grams, Word2Vec

AIML Lecture Series : https://www.youtube.com/playlist?list=PLMIHypEMTeA9GK8RgT-OlJ-BK29vDMf8n 🔄AI Math and ...

37:20
Language Model Word Embeddings Backpropagation - Dropout, Regularization, N-grams, Word2Vec

131 views

4 weeks ago

UofU Data Science
Lectures 6a: Linear models expressiveness

This lecture continues our discussion of linear models and shows that they are an expressive class of functions. For more details ...

44:48
Lectures 6a: Linear models expressiveness

185 views

11 months ago

Retured
What is Optimization in Machine Learning? The Key to AI Learning & Better Models

Ever wondered how AI *actually* learns and gets so incredibly smart? This episode of Gen AI Simplified dives deep into ...

8:52
What is Optimization in Machine Learning? The Key to AI Learning & Better Models

89 views

7 months ago

Vu Hung Nguyen (Hưng)
3-4 Blueprint to Skyscraper

This episode provides a deep dive into **building a complete PyTorch training loop from scratch**, demonstrating how to achieve ...

6:57
3-4 Blueprint to Skyscraper

20 views

3 months ago

CoCalc by SageMath, Inc.
How to Translate from R to Python in Jupyter Notebooks with CoCalc

What You'll Learn: Learn how to translate R code to Python within Jupyter Notebooks using CoCalc's AI Assistant. This tutorial ...

1:15
How to Translate from R to Python in Jupyter Notebooks with CoCalc

114 views

9 months ago

DevConf
GPU Programming with Triton Kernels - DevConf.US 2025

Speaker(s): Kyle Yu Developing high-performance custom GPU kernels is critical for pushing the boundaries of AI inference, yet it ...

8:00
GPU Programming with Triton Kernels - DevConf.US 2025

334 views

3 months ago

EuroPython Conference
Is Prompt Engineering Dead? How Auto-Optimization is Changing the Game

EuroPython 2025 — South Hall 2B on 2025-07-16] 🎤 *Is Prompt Engineering Dead? How Auto-Optimization is Changing the ...

30:16
Is Prompt Engineering Dead? How Auto-Optimization is Changing the Game

205 views

2 months ago

Institute for Pure & Applied Mathematics (IPAM)
IPAM "Multi-Fidelity Methods for Fusion Energy" Spring 2026 Program Overview

Apply to IPAM's Spring 2026 Programs: ...

43:26
IPAM "Multi-Fidelity Methods for Fusion Energy" Spring 2026 Program Overview

251 views

4 months ago

Summarized Science
EGGROLL: This New Method Makes Training Massive AI 100x More Efficient

Training massive AI models, like the ones that power modern chatbots and image generators, is an incredibly complex and ...

3:55
EGGROLL: This New Method Makes Training Massive AI 100x More Efficient

54 views

1 month ago

Vuk Rosić
Master RMSNorm From Scratch - Step by Step Tutorial

Notebook - https://gist.github.com/vukrosic/c8f370a1d041f58bd28fdea9339467f8 Notebook on drive ...

11:01
Master RMSNorm From Scratch - Step by Step Tutorial

495 views

2 months ago

Ai Guru
Training math of neural networks

AIML Lecture Series : https://www.youtube.com/playlist?list=PLMIHypEMTeA9GK8RgT-OlJ-BK29vDMf8n 🔄AI Math and ...

24:30
Training math of neural networks

292 views

1 month ago

The AI Layers
LLM System Design: Top 10 Optimization Techniques for Efficient AI (Meta, Google, OpenAI)

Want to land a top ML role at FAANG companies like Meta or Google? This ultimate system design guide covers everything you ...

12:56
LLM System Design: Top 10 Optimization Techniques for Efficient AI (Meta, Google, OpenAI)

700 views

8 months ago

The Debug Zone
Fixing Pyomo ValueError: Invalid Constraint Expression - Troubleshooting Guide

In this video, we dive into a common issue faced by users of Pyomo, a powerful optimization modeling language in Python.

1:47
Fixing Pyomo ValueError: Invalid Constraint Expression - Troubleshooting Guide

0 views

1 month ago

Vu Hung Nguyen (Hưng)
02 Supervised Learning

Supervised Learning & Linear Regression: A Foundational Guide Overview: Dive into the core concepts of supervised learning in ...

7:29
02 Supervised Learning

1 view

3 months ago