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219,525 results
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdKet3 Learn more about the ...
289,218 views
2y ago
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 ...
606,511 views
3y ago
word2vec #llm Converting text into numbers is the first step in training any machine learning model for NLP tasks. While one-hot ...
138,454 views
1y ago
An embedding translates large feature vectors into a lower-dimensional space that encodes meaningful relationships between ...
80,360 views
Ever wondered how a computer learns the meaning of words like king and queen? How does an AI know that king is more related ...
88,952 views
Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go ...
689,799 views
Embeddings turn meaning into math. Vector databases make that math searchable at scale. If you're building anything with AI ...
21,503 views
7mo ago
Tokens and embeddings are essential concepts to large language models (LLMs), and they both represent words – or meaning?
54,918 views
A high level primer on vectors, vector embeddings and vector databases. References covered in this video: What are Vector ...
101,279 views
How do you represent a word in AI? Rob Miles reveals how words can be formed from multi-dimensional vectors - with some ...
334,735 views
6y ago
Download the full notes from this video and code to run yourself https://thu-vu.kit.com/8d439091c8 Get my FREE weekly AI ...
62,840 views
4mo ago
In under 2 minutes, we explain what vector embeddings are, how they work, and how to use them in real-world applications like ...
51,351 views
How do you chose the best embedding model for your use case? (and how do they even work, anyways?) - Learn more in this ...
47,945 views
Everyone's talking about embedding models lately—but what do they actually do, and why does it matter? In this video ...
16,706 views
Let's talk about embeddings in neural networks ABOUT ME ⭕ Subscribe: ...
13,865 views
NLP has seen some big leaps over the last couple of years thanks to word embeddings but what are they? How are they made ...
137,148 views
4y ago
Vector databases are rapidly growing in popularity as a way to add long-term memory to LLMs like GPT-4, LLaMDA, and LLaMA.
1,130,535 views
Breaking down how Large Language Models work, visualizing how data flows through. Instead of sponsored ad reads, these ...
11,340,927 views
Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b ...
38,012 views
Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to ...
314,156 views