Remove Data Extraction Remove LLM Remove Prompt Engineering
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10 Best Prompt Engineering Courses

Unite.AI

In the ever-evolving landscape of artificial intelligence, the art of prompt engineering has emerged as a pivotal skill set for professionals and enthusiasts alike. Prompt engineering, essentially, is the craft of designing inputs that guide these AI systems to produce the most accurate, relevant, and creative outputs.

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Enterprise LLM APIs: Top Choices for Powering LLM Applications in 2024

Unite.AI

Whether you're leveraging OpenAI’s powerful GPT-4 or with Claude’s ethical design, the choice of LLM API could reshape the future of your business. Why LLM APIs Matter for Enterprises LLM APIs enable enterprises to access state-of-the-art AI capabilities without building and maintaining complex infrastructure.

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Advanced Prompt Engineering Techniques for AI Developers: Unlocking the Power of LLMs

Towards AI

Large Language Models (LLMs) like GPT-4, Claude-4, and others have transformed how we interact with data, enabling everything from analyzing research papers to managing business reports and even engaging in everyday conversations. However, to fully harness their capabilities, understanding the art of prompt engineering is essential.

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Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

AWS Machine Learning Blog

With Amazon Bedrock Data Automation, this entire process is now simplified into a single unified API call. It also offers flexibility in data extraction by supporting both explicit and implicit extractions. It also transcribes the audio into text and combines both visual and audio data for chapter level analysis.

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning Blog

This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain. We also examine the uplift from fine-tuning an LLM for a specific extractive task. In this example, you explicitly set the instance type to ml.g5.48xlarge.

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Streamlining naturalization applications with Amazon Bedrock

Flipboard

Sonnet large language model (LLM) on Amazon Bedrock. For naturalization applications, LLMs offer key advantages. They enable rapid document classification and information extraction, which means easier application filing for the applicant and more efficient application reviewing for the immigration officer.

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Intelligent Document Processing with AWS AI Services and Amazon Bedrock

ODSC - Open Data Science

With Intelligent Document Processing (IDP) leveraging artificial intelligence (AI), the task of extracting data from large amounts of documents with differing types and structures becomes efficient and accurate. LangChain uses Amazon Textract’s DetectDocumentText API for extracting text from printed, scanned, or handwritten documents.

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