Transformer Architecture (Natural Language Processing at UT Austin)

Greg Durrett · Advanced ·🧠 Large Language Models ·2y ago

Key Takeaways

Delves into the transformer architecture as part of a Natural Language Processing course at UT Austin

Original Description

Part of a series of video lectures for CS388: Natural Language Processing, a masters-level NLP course offered as part of the Masters of Computer Science Online at UT Austin. For accompanying readings, see https://www.cs.utexas.edu/~gdurrett/courses/online-course/materials.html
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Full-Text Search Artık Yeterli Olmadığında: Vektörler, LLM’ler ve Hybrid Search
Learn how to improve search results using vectors, LLMs, and hybrid search for more accurate and relevant outcomes
Medium · LLM
📰
AI For Summarizing Books: How Artificial Intelligence Helps You Read Smarter, Learn Faster, and…
Learn how AI can help you read smarter and faster by summarizing books, saving you time and increasing knowledge retention
Medium · AI
📰
Changes to LLM pricing: Novita and StreamLake
Learn about the recent price changes for Novita and StreamLake LLMs and how they may impact your projects
Dev.to AI
📰
Kimi K3: China's Open-Source LLM Shakes the West
China's open-source LLM, Kimi K3, shakes the West with 2.8 trillion parameters, setting a new standard for AI models
Dev.to AI
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →