Prompt Learning: Using English Feedback to Optimize LLM Systems

​About the Webinar

​Want to make AI models smarter, faster, and more reliable—without touching complex code?

​In this session, you’ll learn how to use natural English feedback to guide and optimize Large Language Models (LLMs). Instead of tuning parameters or retraining models, you’ll see how effective prompting and structured feedback loops can drastically improve outputs.

​By the end, you’ll know how to iteratively refine prompts with feedback to get better reasoning, accuracy, and alignment from AI systems.

​What You’ll Learn (Core Topics)

• ​What is Prompt Learning and how it differs from Prompt Engineering

• ​Using English feedback loops to optimize model responses

• ​Techniques for improving accuracy, coherence, and relevance

• ​Practical use cases: content creation, Q&A systems, coding assistants, and chatbots

• ​Hands-on exercises: giving feedback to LLMs & refining prompts

​Hosted by

​Deepak Chawla – AI Entrepreneur, Founder of HiDevs
Deepak is on a mission to build the world’s largest Gen AI workforce. He has trained 2500+ learners, hosted 50+ AI workshops, and is actively building real-world applications with LLMs, LangChain, and vector databases.

​Powered by

​🌐 HiDevs – https://hidevs.xyz/
HiDevs is building the world’s largest Generative AI workforce, empowering students and professionals through live sessions, workshops, and real-world projects. Learners gain hands-on AI experience, performance tracking, and access to global jobs & internships.

​Prizes & Giveaways 🎁

• ​Perplexity Pro Plan – 1 Month Free

• ​HiDevs PRO Plan at a special discounted rate (exclusive for attendees)

​Who Should Attend?

• ​Students exploring Generative AI & Prompting

• ​Developers & ML engineers looking to improve LLM outputs

• ​Founders & professionals wanting to leverage AI effectively

• ​Anyone curious about building real-world AI use cases