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.
Add-On Information:
- Unlock the secrets of Generative AI, transforming from a curious cook to a culinary AI master chef.
- Deconstruct the “secret sauce” behind LLMs, understanding their fundamental “flavor profiles.”
- Discover how to “season” LLMs to perfection, ensuring their outputs are both creative and correct.
- Master the art of “flavor pairing” β expertly combining prompts to elicit desired LLM responses.
- Learn to “infuse” your LLMs with specific knowledge and skills, creating unique AI recipes.
- Explore the “kitchen tools” of LLM engineering, from foundational libraries to cutting-edge customization techniques.
- Build a diverse “appetizer menu” of LLM applications, showcasing a range of practical AI solutions.
- Understand how to “taste-test” your AI creations, ensuring quality and user satisfaction.
- Develop a “restaurant management” approach to LLMs, covering deployment and ongoing optimization.
- Gain the confidence to “serve” your AI creations to the world, making them accessible and impactful.
- Navigate the “pantry” of LLM resources, identifying the best ingredients for your AI projects.
- Master the “plating” of AI β presenting your LLM solutions in user-friendly and engaging ways.
- Learn to “ferment” your AI models, enhancing their capabilities over time through iterative refinement.
- Become adept at “recipe development” for AI, crafting instructions that yield predictable and powerful results.
- Discover how to “pair” LLMs with other AI technologies for richer, more complex applications.
- Acquire the skills to “curate” and “manage” an AI kitchen, ensuring efficiency and innovation.
- Develop a deep appreciation for the “craftsmanship” involved in building and deploying advanced AI.
- Gain the ability to “innovate” within the LLM space, creating novel AI-driven experiences.
- Master the “business of AI,” understanding how to translate LLM capabilities into real-world value.
- Learn to “troubleshoot” and “debug” your AI creations like a seasoned chef identifies recipe flaws.
- PRO: Gain practical, hands-on experience with over 100 projects, solidifying your understanding through application.
- PRO: The use of relatable food analogies makes complex AI concepts surprisingly accessible and enjoyable for beginners.
- PRO: You’ll emerge with a portfolio of diverse LLM applications, ready to showcase your newfound skills.
- PRO: Emphasis on zero-code tools means you can start building immediately, regardless of prior programming experience.
- CON: The sheer volume of projects, while beneficial, may require significant time commitment to fully explore and master.
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