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Developing AI Applications

Embark on your quest to develop awe-inspiring user-facing systems and applications using the latest AI developer tools. In this track, you'll learn about the latest techniques for developing state-of-the-art AI systems underpinning the latest generation of chatbots, search engines, and recommendation systems. You'll master using OpenAI's GPT and Whisper models via the OpenAI API for text analysis, creating chatbots, and transcribing and translating audio. Discover how the latest prompt engineering techniques, like multi-step, chain-of-thought (CoT), and self-consistency prompting, can be used to level up the output from your models. Use the Hugging Face Hub and the transformers library to access and use open-source models for a variety of natural language processing (NLP) tasks. Build a solid foundation for responsible AI practices by learning how to develop AI systems ethically, with data privacy as a core focus. Discover how LangChain can be used to unify the AI development landscape under a single, unified syntax, so you can tie together large language models (LLMs) from different providers, vector databases, and data from various sources.

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1
Python
Working with the OpenAI API

Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.

3 hours

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James Chapman

Curriculum Manager, DataCamp

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