Press Note:
Day 1: Introduction to LLMs & Prompt Basics
Morning:
- What are Large Language Models (LLMs)?
- How LLMs are trained (datasets, tokens, patterns).
- Architecture overview (Transformers, Attention).
- Capabilities and limitations of LLMs.
Afternoon:
- Practicals: Writing prompts for text generation.
- Summarization, translation, and Q&A using prompts.
- Exercises on improving model responses.
Day 2: Prompt Engineering Foundations
Morning:
- Types of prompts: zero-shot, one-shot, few-shot.
- Role of context in prompts.
- Chain-of-thought prompting.
- Examples of effective vs. ineffective prompts.
Afternoon:
- Practicals: Writing prompts for text generation.
- Summarization, translation, and Q&A using prompts.
- Exercises on improving model responses.
