Explore >> Select a destination

You are here

 jannikreinhard.com
Deep Dive into Co-Pilots: Understanding Architecture, LLMs, and Advanced Concepts - AI & Modern Device Management
| | codeincomplete.com
AI, ML, and Large Language Models | Jake Gordon
2.1 parsecs away

Travel
| | Personal Website for Jake Gordon
| | callmephilip.com
[Notes] A Hackers Guide to LLMs - callmephilip
3.4 parsecs away

Travel
| | Notes for Jeremy Howard's video A Hackers' Guide to Language Models
| | www.k2view.com
What is Retrieval-Augmented Generation (RAG)? A Practical Guide
3.2 parsecs away

Travel
| | Retrieval-augmented generation is an AI framework that improves LLM accuracy. Learn how to inject enterprise data into LLMs for more reliable responses.
| | scorpil.com
Understanding Generative AI: Part Two - Neural Networks ยท Scorpil
14.0 parsecs away

Travel
| 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.