Remove Auto-classification Remove Auto-complete Remove Large Language Models Remove Prompt Engineering
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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. When this is complete, the document can be routed to the appropriate department or downstream process. Custom classification is a two-step process.

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Building Generative AI prompt chaining workflows with human in the loop

AWS Machine Learning Blog

They’re capable of performing a wide variety of general tasks with a high degree of accuracy based on input prompts. Large language models (LLMs) are one class of FMs. FMs and LLMs, even though they’re pre-trained, can continue to learn from data inputs or prompts during inference. You spend less time developing.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. What is Large Language Model Operations (LLMOps)? What the future of LLMOps looks like.

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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

W&B (Weights & Biases) W&B is a machine learning platform for your data science teams to track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results, spot regressions, and share findings with colleagues. Is it fast and reliable enough for your workflow?

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Creating An Information Edge With Conversational Access To Data

Topbots

In this article, we will consider the different implementation aspects of Text2SQL and focus on modern approaches with the use of Large Language Models (LLMs), which achieve the best performance as of now (cf. [2]; 3] provides a more complete survey of Text2SQL data augmentation techniques.