Relative Self-Attention Explained

Machine Learning Studio · Beginner ·🧠 Large Language Models ·2y ago

Key Takeaways

This video explains Relative Self-Attention, covering differences between relative and absolute position embedding and two algorithms for relative self-attention

Original Description

In this video, we dive into a very interesting topic "Relative Self-Attention". First, we will see the differences between relative and absolute position embedding, and then we will cover two algorithms for incorporating relative embedding in self-attention. #transformers #deeplearning
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Demystifying Large Language Models: A Comprehensive Guide to Artificial Comprehension and Content…
Learn the basics of Large Language Models and how they enable artificial comprehension and content generation
Medium · ChatGPT
 📰
Cost Per Token Explained: GPT vs Claude vs Gemini (2026)
Learn how to compare token pricing across GPT, Claude, and Gemini AI models to optimize your costs
Medium · AI
 📰
The MMM Data Model -- A Normative Specification for Knowledge Interoperability in a Decentralisable Knowledge Commons
Learn about the MMM Data Model for knowledge interoperability in decentralised systems and how it enables flexible knowledge structuring and sharing
ArXiv cs.AI
 📰
Constructing Epistemic AI Literacy: Detecting Epistemic Aims and Processes in Student-AI Co-Programming
Learn to detect epistemic aims and processes in student-AI co-programming to improve AI literacy, crucial for effective learning with generative AI
ArXiv cs.AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →