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Introduction to Prompting explains how humans interact with generative AI using natural language. It covers what prompts are, how they guide large language models, and why prompt quality matters. The topic introduces core prompting concepts, basic techniques, and real examples to help generate accurate, controlled, and meaningful AI outputs.

LLMs in Practice explores how Large Language Models function in real-world applications and how to make them reliable, safe, and production-ready. This session dives into issues like hallucinations, bias, and unpredictability, and covers techniques to mitigate them, including RAG architectures, decoding strategies, and benchmark evaluation. Learn how to fine-tune models with LoRA, QLoRA, SFT, RLHF, and DPO to tailor them for specific tasks. Ideal for engineers, researchers, and AI practitioners looking to deploy LLMs effectively and responsibly.

Explore how modern Large Language Models (LLMs) are designed, built, and deployed. This advanced webinar unpacks the architecture behind Transformers, GPT models, and emerging multimodal systems. Understand the differences between proprietary, open, and open-source models, and learn how these architectures shape today’s AI ecosystem. Perfect for engineers, researchers, and learners ready to go beyond the basics.

Dive deep into the world of Large Language Models (LLMs) in this comprehensive webinar. Understand their architecture, evolution, and the transformative impact they're having on AI applications today. Whether you're an AI enthusiast, developer, or business leader, this session will equip you with the knowledge to harness the power of LLMs effectively.