22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs. - NirDiamant/Prompt_Engineering

Learn how to create and collaborate with NotebookLM, a powerful AI research assistant.

A collection of useful, freely-available data science resources and links, curated by Nicola Rennie.

Crawl Instagram posts and use LLMs to extract critical insights for business growth.

A guide for technical professionals looking to start consulting - sdg-1/consulting-handbook

A team of 3 developers built a neat platform called Spare Cores that makes cloud instance pricing more transparent. A deepdive on how exactly they did it.

A visual introduction to probability and statistics.

"What Matters In Transformers?" is an interesting paper (https://lnkd.in/g_Zqwf9M) that finds you can actually remove half of the attention layers in LLMs like Llama without noticeably reducing modeling performance.

The concept is relatively simple. The…

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For…

AWS is innovating across its GenAI stack, but it’s Day 1.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode...

In this article, we talk about how LLMs work, from scratch - assuming only that you know how to add and multiply two numbers. The article...