8:38
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKet3 Learn more about the ...
11:32
Converting words to numbers, Word Embeddings | Deep Learning Tutorial 39 (Tensorflow & Python)
Machine learning models don't understand words. They should be converted to numbers before they are fed to RNN or any other ...
24:30
Text Embeddings, Classification, and Semantic Search (w/ Python Code)
Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: ...
19:33
word2vec #llm Converting text into numbers is the first step in training any machine learning model for NLP tasks. While one-hot ...
16:12
Word Embedding and Word2Vec, Clearly Explained!!!
Words are great, but if we want to use them as input to a neural network, we have to convert them to numbers. One of the most ...
3:30
Text embeddings & semantic search
Learn how Transformer models can be used to represent documents and queries as vectors called embeddings. In this video, we ...
10:09
Word Embedding Python | RNN | Detailed Explanation
Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand ...
32:02
Word Embedding in PyTorch + Lightning
Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the art models ...
4:04
How to choose an embedding model
How do you chose the best embedding model for your use case? (and how do they even work, anyways?) - Learn more in this ...
5:12
OpenAI Embeddings Explained in 5 Minutes
Join my learning platform for module based courses, learning exercises, and more: https://coderprep.com/ Embeddings are a ...
14:24
FastEmbed: Local AI Embeddings in Python
Need some help with a project or some consulting? Contact me here: https://www.neuralnine.com/services The Python Bible ...
21:34
Fine-Tuning Text Embeddings For Domain-specific Search (w/ Python)
Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: ...
6:52
Tokens vs Embeddings – what are they + how are they different?
Tokens and embeddings are essential concepts to large language models (LLMs), and they both represent words – or meaning?
36:23
Vector Embeddings Tutorial – Code Your Own AI Assistant with GPT-4 API + LangChain + NLP
Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to ...
16:56
Vectoring Words (Word Embeddings) - Computerphile
How do you represent a word in AI? Rob Miles reveals how words can be formed from multi-dimensional vectors - with some ...
18:28
What is Word2Vec? A Simple Explanation | Deep Learning Tutorial 41 (Tensorflow, Keras & Python)
A very simple explanation of word2vec. This video gives an intuitive understanding of how word2vec algorithm works and how it ...
1:09
Word Embeddings in 60 Seconds for NLP AI & ChatGPT
Word Embeddings in Transformer Neural Networks; like GPT-3, BERT, BARD & CharGPT. Welcome to word embeddings in sixty ...
21:35
Word embedding using keras embedding layer | Deep Learning Tutorial 40 (Tensorflow, Keras & Python)
In this video we will discuss how exactly word embeddings are computed. There are two techniques for this (1) supervised ...
7:21
Word2Vec #SkipGram #CBOW #DeepLearning Word2Vec is a very popular algorithm for generating word embeddings.
19:20
Python Word Embedding using Word2vec and keras|How to use word embedding in python
Python Word Embedding using Word2vec and keras|How to use word embedding in python #WordEmbeddingInPython ...