))
In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning. As ChatGPT explains: "A Vector is a mathematical structure that holds numerical values. Vectors are fundamental to the field of Artificial Intelligence, as they allow mathematical operations to be performed efficiently and form the basis of many machine learning algorithms." OK, but how are these vectors crucial for the whole Artificial Intelligence evolution?
This is the last podcast of season 3, we're taking a summer break and will be back in September with the release of Java 23 and much more OpenJDK-related topics!
00:00 Introduction of the topic and guests
01:57 What is a Vector?
https://github.com/openai/tiktoken
https://arxiv.org/abs/1301.3781
https://towardsdatascience.com/word2vec-research-paper-explained-205cb7eecc30
https://github.com/jbellis/jvector
07:14 Vectors explained as a game
A fun and absurd introduction to Vector Databases: https://www.youtube.com/watch?v=mQGf9hWTqSw
09:44 Understanding tokenizers
10:40 Do we need dedicated Vector databases?
13:39 Vectors, LLMs and hallucinations
Crafting your own RAG system: Leveraging 30+ LLMs for enhanced performance by Stephan Janssen: https://www.youtube.com/watch?v=9PX5l4ETn0g
20:40 How LLM and chat interfaces are used in companies
https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know
23:45 Indexing all of Wikipedia
https://foojay.io/today/indexing-all-of-wikipedia-on-a-laptop/
Demo application: https://jvectordemo.com:8443/
https://openjdk.org/projects/panama/
27:23 Evolutions in Java for vectors, LLMs, and AI
Vector API (Eighth Incubator): https://openjdk.org/jeps/469
Foreign Function & Memory API: https://openjdk.org/jeps/454
32:44 Is the GPU needed for vector use cases?
35:04 Can we already use the incubator Vector API in production?
38:27 Some predictions...
Colbert project: https://github.com/stanford-futuredata/ColBERT
https://thenewstack.io/overcoming-the-limits-of-rag-with-colbert/
44:19 Make your vectors smaller to make them more efficient and less expensive
https://www.sciencedirect.com/topics/engineering/vector-quantization
https://huggingface.co/blog/embedding-quantization
https://foojay.io/today/visualizing-brain-computer-interface-data-using-javafx/
Asteroids 3D in JavaFX made from AI Deep Fake Audio data: https://www.youtube.com/watch?v=vFThM9BoTLg
49:19 Outro
60 episoade
In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning. As ChatGPT explains: "A Vector is a mathematical structure that holds numerical values. Vectors are fundamental to the field of Artificial Intelligence, as they allow mathematical operations to be performed efficiently and form the basis of many machine learning algorithms." OK, but how are these vectors crucial for the whole Artificial Intelligence evolution?
This is the last podcast of season 3, we're taking a summer break and will be back in September with the release of Java 23 and much more OpenJDK-related topics!
00:00 Introduction of the topic and guests
01:57 What is a Vector?
https://github.com/openai/tiktoken
https://arxiv.org/abs/1301.3781
https://towardsdatascience.com/word2vec-research-paper-explained-205cb7eecc30
https://github.com/jbellis/jvector
07:14 Vectors explained as a game
A fun and absurd introduction to Vector Databases: https://www.youtube.com/watch?v=mQGf9hWTqSw
09:44 Understanding tokenizers
10:40 Do we need dedicated Vector databases?
13:39 Vectors, LLMs and hallucinations
Crafting your own RAG system: Leveraging 30+ LLMs for enhanced performance by Stephan Janssen: https://www.youtube.com/watch?v=9PX5l4ETn0g
20:40 How LLM and chat interfaces are used in companies
https://www.bbc.com/travel/article/20240222-air-canada-chatbot-misinformation-what-travellers-should-know
23:45 Indexing all of Wikipedia
https://foojay.io/today/indexing-all-of-wikipedia-on-a-laptop/
Demo application: https://jvectordemo.com:8443/
https://openjdk.org/projects/panama/
27:23 Evolutions in Java for vectors, LLMs, and AI
Vector API (Eighth Incubator): https://openjdk.org/jeps/469
Foreign Function & Memory API: https://openjdk.org/jeps/454
32:44 Is the GPU needed for vector use cases?
35:04 Can we already use the incubator Vector API in production?
38:27 Some predictions...
Colbert project: https://github.com/stanford-futuredata/ColBERT
https://thenewstack.io/overcoming-the-limits-of-rag-with-colbert/
44:19 Make your vectors smaller to make them more efficient and less expensive
https://www.sciencedirect.com/topics/engineering/vector-quantization
https://huggingface.co/blog/embedding-quantization
https://foojay.io/today/visualizing-brain-computer-interface-data-using-javafx/
Asteroids 3D in JavaFX made from AI Deep Fake Audio data: https://www.youtube.com/watch?v=vFThM9BoTLg
49:19 Outro
60 episoade
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