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87 results

Rajistics - data science, AI, and machine learning
MobileLLM from Meta is full of efficient architecture ideas for LLMs

MobileLLM from Meta is full of great lessons! The paper focuses on methods for an efficient architecture for mobile LLMs It ...

1:09
MobileLLM from Meta is full of efficient architecture ideas for LLMs

130 views

1 year ago

Michael Builds AI
Build an AI Legal Docs Analyzer with Parallel Tasks (LangGraph Tutorial)

Episode 2 — Parallel Tasks with LangGraph In this chapter of AI Workflows with LangGraph, we build an AI-powered Legal ...

9:06
Build an AI Legal Docs Analyzer with Parallel Tasks (LangGraph Tutorial)

735 views

9 months ago

Hamed Jelodar
Large Language Models vs Metrics  Part 2 (BLEU (n-grams), ROUGE-L (n-grams), BERTscore)
5:02
Large Language Models vs Metrics Part 2 (BLEU (n-grams), ROUGE-L (n-grams), BERTscore)

29 views

5 months ago

SciPulse
The $18 Optimization: How Training-Free GRPO is Changing AI Research

Welcome to SciPulse. In this episode, we dive into a revolutionary research paper that challenges the necessity of expensive ...

14:02
The $18 Optimization: How Training-Free GRPO is Changing AI Research

33 views

1 month ago

nurulain mohdyasin
Part 2: Combinatorial Optimization
1:01:03
Part 2: Combinatorial Optimization

3 views

2 years ago

Mr. Olivo
Finding and Using a Rule in Patterns
9:22
Finding and Using a Rule in Patterns

452 views

2 months ago

Data Science Cross-Validated
4 TIPS From a Professor to Master Machine Learning Faster

Machine learning is tough, but you can learn it faster with the right approach. In this video, I share four key tips to help you to ...

10:19
4 TIPS From a Professor to Master Machine Learning Faster

260 views

1 year ago

ENERZAi Inc
ENERZAi EVS 2025 Demo - 1.58bit EZWhisper

We're demonstrating our 1.58bit EZWhisper at Embedded Vision Summit 2025. It might be your first time seeing 1.58 model ...

3:11
ENERZAi EVS 2025 Demo - 1.58bit EZWhisper

1,800 views

9 months ago

Anjali Jha
Data-Driven Clinician Scheduling Using AI: A Predict-Then-Optimize Approach

Project Title: Data-Driven Clinician Scheduling Under Resource Uncertainty ‍⚕️ What's the Problem? Clinicians are pulled ...

3:32
Data-Driven Clinician Scheduling Using AI: A Predict-Then-Optimize Approach

8 views

8 months ago

Martin Xie
Decentralized Programming for True Decentralized Systems | Introduction to Julia by a Quant

This is an introduction of the Julia language from the inter-discipline angle between Maths, Computer Science, Supercomputing, ...

1:06:38
Decentralized Programming for True Decentralized Systems | Introduction to Julia by a Quant

100 views

Streamed 2 years ago

MIT HAN Lab
HPCA 2025 | LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications

Talk: LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications Presenter: Zhekai Zhang Author: Yujun Lin, ...

15:51
HPCA 2025 | LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications

390 views

11 months ago

Arnav Nambiar
I built an ai model to predict if my date would show up.

I recently asked a girl out on a date whose friend I had previously been with. Like any normal person, I built a probabilistic ...

2:59
I built an ai model to predict if my date would show up.

68 views

2 weeks ago

Shaq
Lab 1
4:04
Lab 1

10 views

3 years ago

CS50
CS50x 2026 - Artificial Intelligence

This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming.

47:49
CS50x 2026 - Artificial Intelligence

172,894 views

1 month ago

Rajistics - data science, AI, and machine learning
Pricing Optimization with Machine Learning - A funny summary

Pricing optimization is a data science use case that is growing. In some areas, like many states in the United States, it is not ...

1:30
Pricing Optimization with Machine Learning - A funny summary

137 views

1 year ago

ByteBlitz
Timing Diagram Explained | UML Diagram | States, Lifelines & Time-Based Behavior

In this video, you'll learn the UML Timing Diagram in a simple and practical way using a real software system example. Timing ...

2:54
Timing Diagram Explained | UML Diagram | States, Lifelines & Time-Based Behavior

15 views

12 days ago

Perforated AI
PyTorch Dendritic Optimization Hackathon with Perforated AI and Weights & Biases

Do you work with PyTorch? Would you like to have smarter, smaller, cheaper ML models? Would you like to have them today ...

59:36
PyTorch Dendritic Optimization Hackathon with Perforated AI and Weights & Biases

171 views

3 months ago

Mohamed ElBahrawy
AI didn’t work for us

Exciting Journey from AI to Mathematics in Price Prediction! Hello LinkedIn community! I'm thrilled to share a new milestone in ...

5:41
AI didn’t work for us

1,343 views

2 years ago

Graphcore
DeepSeek and Mixture of Experts model efficiency explained: Alexandre Payot at Bristol MLOps Meetup

How did DeepSeek achieve massive efficiency gains with their V3 model? And are those gains all they're cracked-up to be?

52:21
DeepSeek and Mixture of Experts model efficiency explained: Alexandre Payot at Bristol MLOps Meetup

1,129 views

11 months ago

Puru Kathuria
What Transformers Actually See (Tokens vs Embeddings)

Tokens are the fundamental units of intelligence in modern language models. Before a model can reason, attend, or generate text, ...

10:09
What Transformers Actually See (Tokens vs Embeddings)

78 views

1 month ago