#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books
You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs.
https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
kitty
The fast, feature-rich, GPU based #terminal emulator
Uses GPU and SIMD vector CPU instructions for best in class
Uses threaded rendering for absolutely minimal latency
Performance tradeoffs can be tuned
Capable Scriptable Composable Cross-platform Innovative
To get started see Quickstart.
https://sw.kovidgoyal.net/kitty/
With software, such as "Kitty", it is possible to read documents, images and other graphical formats with these software:
https://github.com/dsanson/termpdf.py
http://www.kraxel.org/blog/linux/fbida/
https://github.com/itsjunetime/tdf
It means, that we no longer need GTK+ (which dropped support for X11), Qt and other graphical toolkits in order to have a full operational computer.
qrcp, transfer files over wifi from your computer to your mobile device by scanning a QR code without leaving the terminal.
#tools#terminal
@thedevs
https://kutt.it/fycGgm
eDEX-UI, a science fiction terminal emulator designed for large touchscreens that runs on all major OSs.
#tools#terminal
@thedevs
https://kutt.it/IaR1au