Building AI Products with OpenAI
The recent emergence of Large Language Models (LLMs) such as ChatGPT and their ability to operate as open-ended generative systems capable of multiple tasks like question-answering, programming, image generation etc. has led some to the conclusion that “The hottest new programming language is English”. One can interact with these models through simple English phrases (also called prompts) that can be designed to achieve several use-cases such as copywriting, code generation, search and so much more! Designing the right prompts involves multiple iterations to achieve the desired output. In this course, we will build Generative AI products such as an auto-generated podcast. In the process, we will learn simple techniques and use tools to understand prompt design. The course also covers a basic understanding of how these models are trained and how they generate responses.
Course taught by expert instructors
Sidharth Ramachandran
Senior Director, Knowledge Engineering
Sidharth is a Senior Director at one of the largest media companies in Europe where he is responsible for building data products for their streaming platform. He is also the co-author of “Blueprints for Text Analytics”, a technical book on NLP techniques published by O’Reilly. He has degrees in Engineering & Management and previously also built his own text automation startup that was featured on Techcrunch.
The course
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Sidharth is a wonderful educator. His instruction style is clear and concise. He is fluent in online delivery tools such as Miro etc and it was a joy to hear his experience working on building AI apps using LLMs and the ecosystem of products in that space. Highlight recommend to ramp up from 0to1 on the prompt design space.