Master Large Language Models with Zero Code! Learn AI, Prompting & Fine-Tuning Through Fun & Tasty Food Analogies(AI)
What you will learn
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Understand what large language models (LLMs) are and how they work using real-world analogies
Identify key ingredients that power LLMs, like training data, tokenization, and data quality.
Explain how LLMs are trained using concepts like batches, epochs, and loss functions.
Write better prompts using techniques like zero-shot, few-shot, and chain-of-thought.
Customize models using fine-tuning and tools like Hugging Face and LoRA.
Evaluate model performance using both quantitative and qualitative metrics.
Deploy LLMs using APIs, FastAPI/Flask, and host them on platforms like Hugging Face Spaces.
Build full LLM-powered applications using no-code tools and LangChain.
Monitor and improve your AI models using logs, feedback loops, and A/B testing.
Monitor and improve your AI models using logs, feedback loops, and A/B testing.
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