Answer / Suneel Dutta

Generative AI has roots in early research on machine learning, particularly in statistical models like Markov chains and Hidden Markov Models. However, significant advancements in deep learning techniques, such as recurrent neural networks (RNNs) and long short-term memory (LSTM) networks, have enabled the development of modern Generative AI systems. These advancements have allowed for more sophisticated language models like GPT-3 and DALL-E.

What does "accelerating AI functions" mean, and why is it important?

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Can you provide examples of how to structure prompts for a given use case?

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