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Has discount
Expiry period	Lifetime
Made in	English
Last updated at	Tue Apr 2023
Level	Advanced
Total lectures	33
Total quizzes	0
Total duration	05:13:30 Hours
Total enrolment	0
Number of reviews	0
Avg rating
Short description	Master OpenAI's GPT, Semantic Search, Embeddings, and Q&A to build a Financial Assistant. Beginner friendly.
Outcomes	The foundations of GPT and generative text - Large Language Models (LLM), Prompt Engineering Finetuning GPT models and their best practices, when and when not to fine tune. Semantic Search - theory and Implementation How to choose the right GPT model for completion and classification tasks Tackling the LLM hallucination problem - what the problem is, and specific strategies to mitigate it. Receiver Augmented Generation (RAG) for Question Answering - its use cases and challenges, and real world implementation Best practice strategies for troubleshooting issues with OpenAI APIs Vector databases, Pinecone - how they work, code samples Understand how to use OpenAI’s APIs and their production best practices
Requirements	Prior exposure to Python and Pandas. You don’t need to be an experienced Python and Pandas developer, but the ability to follow along and understand syntax is needed. Github and Google accounts (free)

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