Remove Auto-classification Remove Natural Language Processing Remove Prompt Engineering
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From concept to reality: Navigating the Journey of RAG from proof of concept to production

AWS Machine Learning Blog

The brand might be willing to absorb the higher costs of using a more powerful and expensive FMs to achieve the highest-quality classifications, because misclassifications could lead to customer dissatisfaction and damage the brands reputation. Consider another use case of generating personalized product descriptions for an ecommerce site.

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Build an image-to-text generative AI application using multimodality models on Amazon SageMaker

AWS Machine Learning Blog

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

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Use custom metadata created by Amazon Comprehend to intelligently process insurance claims using Amazon Kendra

AWS Machine Learning Blog

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. Custom classification is a two-step process.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

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Accelerating Large Language Model Inference: Techniques for Efficient Deployment

Unite.AI

Large language models (LLMs) like GPT-4, LLaMA , and PaLM are pushing the boundaries of what's possible with natural language processing. While still computationally intensive, these models could be deployed on modest hardware and followed relatively straightforward inference processes.

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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

The system is further refined with DistilBERT , optimizing our dialogue-guided multi-class classification process. Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring.

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Creating An Information Edge With Conversational Access To Data

Topbots

It not only requires SQL mastery on the part of the annotator, but also more time per example than more general linguistic tasks such as sentiment analysis and text classification. Enriching the prompt with database information Text2SQL is an algorithm at the interface between unstructured and structured data. Talk to me!