Introduction to Prompt Engineering.

In this video, we learn about the doorway to extracting the best responses from LLMs like ChatGPT: Prompt Engineering.

We will learn about several techniques you can use to craft an effective prompt.

We will also understand the 7 key components of an effective prompt:

(1) Persona
(2) Audience
(3) Tone
(4) Context
(5) Instruction
(6) Data
(7) Format

0:00 The art of prompting
4:46 The basic ingredients of a prompt
11:05 Instruction based prompting
15:25 Specificity, Hallucinations and Order
19:59 7 components of an effective prompt
27:06 Hands on coding exercise

[ShaistaZulfiqar-zr]

please share the lectures on complete reinforcement learning from scratch. Your way of teaching is awesome

[SheldonCooper]

i am using llama 3.2 1b instructor model in jupyter notebook. but output contains unecessary info dispite trying set do_samples, temperature to diff numbers. can anyone help?