Join us for a live learning session on ""Prompt Engineering Large Language Models for AWS Bedrock"". This session will cover the intricacies of crafting effective prompts for LLMs, using the AWS Bedrock environment to implement Prompt Engineering techniques. We'll delve into some popular use cases for prompting, including text classification, feedback response generation, content summarization, creative writing and also cover several best practices and techniques such as Few-shot Prompting and Chain-of-Thought Prompting.
Agenda for the session
- Role of prompts in LLM, including their application in AI and Generative AI
- Best practices and effective techniques for Prompt Engineering
- Utilize AWS Bedrock for Prompt Engineering
- Great Learning Journeys - Choosing your Learning Pathway
About Speakers
Mr. Fred Premji
Principal AI/ML Engineer
Fred is a seasoned ML consultant excelling in crafting AI solutions across cybersecurity, healthcare, and finance. Proficient in Python, Keras, PyTorch, and cloud platforms like AWS and Azure, Fred specializes in NLP, price forecasting, and generative AI. With a cybersecurity background, Fred has led end-to-end ML projects, including phishing detection and ChatGPT-powered chatbots. As a mentor for MIT's Applied Data Science & ML course, Fred shares expertise globally, dedicated to advancing the field through research and innovation.
