Lordog/dive-into-llms ? reverse-engineered prompt
Reverse engineered prompt
Hey, could you build me a project to learn about large language models? I'm picturing a collection of hands-on tutorials, structured as a series of Jupyter Notebooks. It should be like a "Dive into LLMs" course, helping me get started with practical skills.
I want to cover the essentials, like how to fine-tune a pre-trained model for a specific task and then deploy it as a simple demo. Make sure to include notebooks on effective prompting techniques and chain-of-thought. I'm also really curious about the creative and security sides, so please add tutorials on making LLMs better at math, hiding secret messages in their responses, and understanding vulnerabilities through jailbreak attacks. It would also be great to have a guide on building a simple AI agent that can interact with a GUI to do tasks for me, like ordering food. Each notebook should have clear explanations and runnable code.
Are you gonna build this?
make sure you review the code using coderabbit