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 tim-boettcher.online
Why Grok may be particularly dangerous | Tim Böttcher online
| | blog.adnansiddiqi.me
Introduction to LLM | Adnan's Random bytes
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | bdtechtalks.com
No-code retrieval augmented generation (RAG) with LlamaIndex and ChatGPT - TechTalks
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| | Retrieval augmented generation (RAG) enables you to use custom documents with LLMs to improve their precision.
| | www.numenta.com
Retrieval-augmented generation may provide a big step forward in addressing many of the issues that keep enterprises from adopting AI.
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| | Retrieval-augmented generation may provide a big step forward in addressing many of the issues that keep enterprises from adopting AI.
| | scorpil.com
Understanding Generative AI: Part Two - Neural Networks · Scorpil
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| In Part One of the "Understanding Generative AI" series, we delved into Tokenization - the process of dividing text into tokens, which serve as the fundamental units of information for neural networks. These tokens are crucial in shaping how AI interprets and processes language. Building upon this foundational knowledge, we are now ready to explore Neural Networks - the cornerstone technology underpinning all Artificial Intelligence research. A Short Look into the History Neural Networks, as a technology, have their roots in the 1940s and 1950s.