Mastering Zero-Shot & Few-Shot Prompting in LLMs
Course Content
Understanding LLMs Architecture & Prompt Behavior
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Transformer Architecture का परिचय
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Attention Mechanism को सरल भाषा में समझना
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Tokenization और Context Window की सीमाएँ
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Prompt Input से Output तक की प्रक्रिया
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Language Modeling Objectives (Causal vs Masked)
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Pre-training और Fine-tuning का अंतर
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Instruction Tuning क्या है और क्यों जरूरी है
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In-context Learning: Core Mechanism
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Temperature, Top-k, Top-p Sampling Explained
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Prompt Drift और Output Instability
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Prompt Behavior और Latent Representations
Zero-shot Prompting – Theory to Real-World Use
Few-shot Prompting with Exemplars
Case Studies – Prompting in Action
Refinement, Bias Reduction & Prompt Debugging
Templates, Practice Sets & Assignments
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