RAG & Vector Search

9.2 Energy Conservation

2.2 Galilean Transformation

Avoiding import loops in Python

All You Need to Know on Multilingual Sentence Vectors (1 Model, 50+ Languages)

Should YOU Start Paying For Links? (...Here's Why) (Ep. 270)

Creating and Manipulating PDFs in Python With borb | Real Python Podcast #84

Hybrid Search Walkthrough in Pinecone

Vector Search Breakdown // Dave Bergstein // Coffee #52 short clip

8 Ways to Unlock Inventory Management and Stock Tracking

Developing Real-Time Collaborative Apps with Azure, Microsoft 365, Power Platform, and GitHub

Which Python @dataclass is best? Feat. Pydantic, NamedTuple, attrs...

Learn how to develop real-time collaborative apps with Azure, Microsoft 365, Power Platform & GitHub

Richard Wrangham: Violence, Sex, and Fire in Human Evolution | Lex Fridman Podcast #229

The Optimization TRAP: When SEO Actually HURTS Your Traffic

3.1 Light

4.5 Lorentz Transformation

12.2 Time Dilation Effect on Earth

6.2 Twin Paradox

Relevance of a transitional justice framework to address Belgium’s colonial past

1. Introduction to the Human Brain

13. Number

20. Theory of Mind & Mentalizing

4. Cognitive Neuroscience Methods I

21. Brain Networks

18. Language I

5. Cognitive Neuroscience Methods II

16. Music

10. Development, Nature & Nurture I

7. Category Selectivity, Controversies, and MVPA

9. Navigation II

11. Development, Nature & Nurture II (2018)

Fine-tune High Performance Sentence Transformers (with Multiple Negatives Ranking)

Intro to Dense Vectors for NLP and Vision

HNSW for Vector Search Explained and Implemented with Faiss (Python)

Lecture 1: Introduction and Overview I (14.13 Psychology and Economics, Spring 2020)

Lecture 5: Time Preferences (Applications) I

Lecture 7: Risk Preferences I

Lecture 9: Reference-Dependent Preferences

Lecture 3: Time Preferences (Theory) I

Lecture 4: Time Preferences (Theory) II

Lecture 21: Poverty through the Lens of Psychology

Lecture 15: Utility from Beliefs; Learning I

Lecture 2: Introduction and Overview II

Lecture 16: Utility from Beliefs; Learning II

Lecture 19: Defaults, Nudges, and Frames

Lecture 11: Social Preferences II

Lecture 12: Social Preferences III

Best Indexes for Similarity Search in Faiss