Mastering GPT-4: Advanced Prompt Engineering Techniques Unveiled

In this video, Adam shares expert strategies for harnessing GPT-4 and other generative AI models to tackle complex challenges. He dives into the nuances of prompt engineering and tuning, highlighting the significance of meticulously choosing the information you feed into ChatGPT, segmenting intricate problems into manageable tasks, and leveraging "thinking out loud" techniques to guide the AI's problem-solving process. Adam also showcases how to enhance AI responses with targeted feedback using few-shot chain of thought prompting. Moreover, he stresses the critical role of result validation and the use of ground truth for testing the efficacy of solutions crafted by GPTs. These insights are invaluable for anyone keen on exploring the full potential of GPT-4 and related AI technologies for creative problem solving.

📒 Links 📒
Written Article
GitHub link to the Translator using an LLM
Prompting Techniques

📒 Chapters 📒

00:00 - Intro: The Problem
01:54 - Lesson 1: The Scarcity Of Context
04:02 - Lesson 2: Knowing What It Knows
06:18 - Lesson 3: How Divide Tasks
08:32 - Lesson 4: Messaging the machine
10:24 - Lesson 5: Thinking Out Loud
16:42 - Lesson 6: No Trust Without Truth
19:30 - Lesson 7: Taming Troubles with Thought Chains

📒 About Earthly 📒

Earthly is a command line tool that simplifies build processes, especially for complex projects involving multiple programming languages. It helps manage communication between different languages, making builds easier to manage. If you want to streamline your build processes and work with multiple languages, Earthly can help.