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Exploring the new world of retrieval-augmented ML
Generative AI sparked several “wow” moments in 2022. From generative art tools like OpenAI’s DALL-E 2, Midjourney, and Stable Diffusion, to the next generation of Large Language Models like OpenAI’s GPT-3.5 generation models, BLOOM, and chatbots like LaMDA and ChatGPT.
It’s hardly surprising that Generative AI is experiencing a boom in interest and innovation [1]. Yet, this marks just the first year of widespread adoption of generative AI: The early days of a new field poised to disrupt how we interact with machines.
One of the most thought-provoking use cases belongs to Generative Question- Answering (GQA). Using GQA, we can sculpt human-like interaction with machines for information retrieval (IR).
We all use IR systems every day. Google search indexes the web and retrieves relevant information to your search terms. Netflix…
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Continue reading this article at
https://towardsdatascience.com/generative-question-answering-with-long-term-memory-c280e237b144?source=rss—-7f60cf5620c9—4
James Briggs
2023-02-17 06:31:18
Towards Data Science – Medium
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https://towardsdatascience.com/generative-question-answering-with-long-term-memory-c280e237b144?gi=83994dd21742&source=rss—-7f60cf5620c9—4
towardsdatascience.com
https%3A%2F%2Ftowardsdatascience.com%2Fgenerative-question-answering-with-long-term-memory-c280e237b144%3Fsource%3Drss—-7f60cf5620c9—4
artificial-intelligence,machine-learning,vector-search,deep-learning,openai
hashtags : #Generative #Question #Answering #Memory