LLM-as-a-judge on Amazon Bedrock Model Evaluation

Favorite The evaluation of large language model (LLM) performance, particularly in response to a variety of prompts, is crucial for organizations aiming to harness the full potential of this rapidly evolving technology. The introduction of an LLM-as-a-judge framework represents a significant step forward in simplifying and streamlining the model evaluation

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Shared by AWS Machine Learning February 12, 2025

Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrock

Favorite There’s a growing demand from customers to incorporate generative AI into their businesses. Many use cases involve using pre-trained large language models (LLMs) through approaches like Retrieval Augmented Generation (RAG). However, for advanced, domain-specific tasks or those requiring specific formats, model customization techniques such as fine-tuning are sometimes necessary.

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Shared by AWS Machine Learning February 12, 2025

Revolutionizing business processes with Amazon Bedrock and Appian’s generative AI skills

Favorite This blog post is co-written with Louis Prensky and Philip Kang from Appian.  The digital transformation wave has compelled enterprises to seek innovative solutions to streamline operations, enhance efficiency, and maintain a competitive edge. Recognizing the growing complexity of business processes and the increasing demand for automation, the integration

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Shared by AWS Machine Learning February 11, 2025

Automate bulk image editing with Crop.photo and Amazon Rekognition

Favorite Evolphin Software, Inc. is a leading provider of digital and media asset management solutions based in Silicon Valley, California. Crop.photo from Evolphin Software is a cloud-based service that offers powerful bulk processing tools for automating image cropping, content resizing, background removal, and listing image analysis. Crop.photo is tailored for

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Shared by AWS Machine Learning February 11, 2025