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Learn Prompting

Appears in 4 awesome lists

Dive into a beginner-friendly guide on Generative AI and Prompt Engineering, offering insights from industry giants, and explore how these tools revolutionize content creation and the future of work.

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Awesome AI Tools

Section: Learning resources · A free, open-source course on communicating with artificial intelligence.

SlowScore 67

Awesome AIGC Tutorials

Section: Prompt Engineering · Dive into a beginner-friendly guide on Generative AI and Prompt Engineering, offering insights from industry giants, and explore how these tools revolutionize content creation and the future of work.

StaleScore 54

Awesome GPT Prompt Engineering

Section: Guides · A Free, Open Source Course on Communicating with AI.

SlowScore 65

Awesome Generative AI

Section: Learning resources · A free, open source course on communicating with artificial intelligence.

FreshScore 90

Prompt Engineering Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

In 11 listsDetails

OpenAI Cookbook

OpenAI's cookbook includes examples of prompt engineering.

In 9 listsDetails

Deep Learning Specialization

New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a specialization certificate.

In 6 listsDetails

Prompt Engineering Guide

This guide introduces Prompt Engineering, a discipline that optimizes interactions with Large Language Models, offering extensive resources, research, and tools.

In 5 listsDetails

ChatGPT prompt engineering for developers

Co-taught by OpenAI and DeepLearning.AI, this course guides learners in leveraging Large Language Models for tasks like summarizing and text transformation, with hands-on experiences in a Jupyter notebook environment.

In 5 listsDetails

Prompt Engineering for Vision Models

Learn to prompt cutting-edge computer vision models with natural language, coordinate points, bounding boxes, segmentation masks, and even other images in this free course from DeepLearning.AI.

In 3 lists

Natural Language Processing

Teaches how to use machine learning to understand and manipulate human language. It requires a working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics.

In 3 lists

How to generate text: using different decoding methods for language generation with Transformers

A guide to decoding methods for language generation with Transformers.

In 2 lists