The speaker briefly explained the history and development of AI, followed by an introduction to Generative AI and its difference from traditional AI. The main focus was on Prompt Engineering, which was explained as the practice of designing clear and effective inputs to obtain accurate, useful, and relevant outputs from AI models. He emphasized that prompt engineering is not just a coding skill but also an important communication skill.
The speaker also explained the difference between a prompt and a query and demonstrated how a well-structured prompt can produce better results. Using Claude, he gave a travel-destination example to show the difference between a simple prompt and an expert-level prompt. The session also covered tokens, the token snowball effect, and how different AI models can provide different responses to similar inputs.
The session was highly informative, interactive, and practical. The speaker addressed students’ questions, including concerns about AI and future job opportunities. Overall, the session encouraged students to explore Generative AI and Prompt Engineering and use AI effectively as a useful tool in their academic and everyday activities.
