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Impel enhances automotive dealership customer experience with fine-tuned LLMs on Amazon SageMaker

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

This post is co-written with Tatia Tsmindashvili, Ana Kolkhidashvili, Guram Dentoshvili, Dachi Choladze from Impel. Impel transforms automotive retail through an AI-powered customer lifecycle management solution that drives dealership operations and customer interactions. Their core product, Sales AI, provides all-day personalized customer engagement, handling vehicle-specific questions and automotive trade-in and financing inquiries. By replacing their …

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Announcing new MCP integrations to Google Cloud Databases to enable AI-assisted development

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Last month at Google Cloud Next ‘25, we announced MCP Toolbox for Databases to make it easier to connect generative AI agents to databases, and automate core enterprise workflows. MCP Toolbox for Databases (Toolbox) is an open-source Model Context Protocol (MCP) server that allows developers to easily connect gen AI agents to enterprise data. It …

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World War I Photo Colorization/Restoration with Flux.1 Kontext [pro]

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I’ve got some old photos from a family member that served on the Western front in World War I. I used Flux.1 Kontext for colorization, using the prompt “Turn this into a color photograph”. Quite happy with the results, impressive that it largely keeps the faces intact. Color of the clothing might not be period …

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Analyzing the Effect of Linguistic Similarity on Cross-Lingual Transfer: Tasks and Input Representations Matter

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Cross-lingual transfer is a popular approach to increase the amount of training data for NLP tasks in a low-resource context. However, the best strategy to decide which cross-lingual data to include is unclear. Prior research often focuses on a small set of languages from a few language families or a single task. It is still …

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Unlocking the power of Model Context Protocol (MCP) on AWS

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We’ve witnessed remarkable advances in model capabilities as generative AI companies have invested in developing their offerings. Language models such as Anthropic’s Claude Opus 4 & Sonnet 4 and Amazon Nova on Amazon Bedrock can reason, write, and generate responses with increasing sophistication. But even as these models grow more powerful, they can only work …

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