Intuition & Use-Cases of Embeddings in NLP & beyond Published 2019-07-03 Download video MP4 360p Recommendations 42:52 Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024 17:17 A Complete Overview of Word Embeddings 38:16 Maciej Arciuch, Karol Grzegorczyk: Embeddings! Embeddings everywhere! | PyData London 2019 17:38 The moment we stopped understanding AI [AlexNet] 24:55 Does this sound illusion fool you? 53:14 Jay Alammar Presents Large Language Models for Real World Applications 46:02 What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata 48:23 Attention is all you need; Attentional Neural Network Models | Łukasz Kaiser | Masterclass 1:31:13 A Hackers' Guide to Language Models 1:18:17 Lecture 2 | Word Vector Representations: word2vec 1:00:59 What's the future for generative AI? - The Turing Lectures with Mike Wooldridge 45:46 Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition 15:21 Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use 12:55 How AI Will Step Off the Screen and into the Real World | Daniela Rus | TED 04:23 Vector Databases simply explained! (Embeddings & Indexes) 18:05 How AI 'Understands' Images (CLIP) - Computerphile 23:47 AI Pioneer Shows The Power of AI AGENTS - "The Future Is Agentic" 28:48 LSTM is dead. Long Live Transformers! Similar videos 55:54 Tutorial 12: Word Embeddings for Descriptive Corpus Analysis: Analogies, Polysemy, and Stability 1:11:25 Beyond Word2Vec: Recent Developments in Document Embedding (Part 1) 48:20 Better Use cases for Text Embeddings // Vincent Warmerdam // MLOps Coffee Sessions #83 08:38 Transformers: The best idea in AI | Andrej Karpathy and Lex Fridman 35:01 Understanding Content Using Deep Learning For Natural Language Processing 1:00:42 Tutorial 1: Comparing Word Embedding Models 01:53 8# What is Word embedding in NLP | Word2Vec | NLP 33:28 SMLTAR: Word Embeddings Part 1 (smltar01 5) 07:54 How ChatGPT Works Technically | ChatGPT Architecture 49:09 Marco Bonzanini - Word Embeddings for Natural Language Processing in Python 35:27 [#GetSetPrep'23] Beyond Words: Exploring NLP with Hugging Face 42:44 CMU Neural Nets for NLP 2021 (8): Distributional Semantics and Word Vectors 05:34 Attention mechanism: Overview 05:50 What are Transformers (Machine Learning Model)? 1:21:57 Interpretability in NLP: Moving Beyond Vision 08:03 Mastering NLP ! Word2Vec and Beyond: Overcoming Challenges in Traditional TF-IDF model /BOW Vectors 10:06 Word Embeddings - EXPLAINED! More results