Generative Question-Answering with Long-Term Memory

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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 the just first year of generative AI’s widespread adoption. The early days of a new field poised to disrupt how we interact with machines.

This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/openai-gen-qa/
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How does one train LLM for large text documents? To get around exceeding token limit error of the embedding model?

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Maybe this can help? OpenAI API

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In 2022, Generative AI made us say “wow” more times than a magician pulling rabbits out of hats. From DALL-E 2, the Picass-O-Matic, to ChatGPT GPT-3.5 aka “the Word Wizard,” it’s no shocker that Generative AI’s the new cool kid on the tech block. It’s only year one, folks! Prepare for the robo-revolution!