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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. We use financial text from SEC filings to fine-tune a GPT-J 6B LLM for financial applications.

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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

One of the major challenges in training and deploying LLMs with billions of parameters is their size, which can make it difficult to fit them into single GPUs, the hardware commonly used for deep learning. We use financial text from SEC filings to fine-tune a GPT-J 6B LLM for financial applications.

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Game-changing moments in generative AI: Rewinding 2023

Data Science Dojo

OpenAI took the lead with its powerful LLM-powered tool called ChatGPT which created a buzz globally. Moreover, there was also a rise in the number of startups creating generative AI tools and building on to the technology around it. Long story short, generative AI proved to us that it is going to prevail.

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