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Evaluating Generative AI: A Field Manual

Evaluating Generative AI (Engineering Responsible AI, #4) A Field Manual Editor’s Note: This is the fourth post in a series on Responsible AI and expands on the topic of AI Testing & Evaluation (T&E) introduced in the previous post. Introduction In the previous blog post in this series, we introduced AIP Evals, which provides users with the capabilities …

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HCLTech’s AWS powered AutoWise Companion: A seamless experience for informed automotive buyer decisions with data-driven design

This post introduces HCLTech’s AutoWise Companion, a transformative generative AI solution designed to enhance customers’ vehicle purchasing journey. By tailoring recommendations based on individuals’ preferences, the solution guides customers toward the best vehicle model for them. Simultaneously, it empowers vehicle manufacturers (original equipment manufacturers (OEMs)) by using real customer feedback to drive strategic decisions, boosting …

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Trading in the Cloud: Lessons from Deutsche Börse Group’s cloud-native trading engine

Earlier this year, Deutsche Börse Group began developing a new cloud-native, purpose-built trading platform. It was built with a focus on digital assets, such as stablecoins, cryptocurrencies, and other tokenized assets. However, the new platform is instrument-agnostic and can trade in all types of assets, from equities to ETFs. Developing a trading platform for digital …

Healthcare Leaders, NVIDIA CEO Share AI Innovation Across the Industry

AI is making inroads across the entire healthcare industry — from genomic research to drug discovery, clinical trial workflows and patient care. In a fireside chat Monday during the annual J.P. Morgan Healthcare Conference in San Francisco, NVIDIA founder and CEO Jensen Huang took the stage with industry leaders progressing each of these areas to …

Controlling Language and Diffusion Models by Transporting Activations

The increasing capabilities of large generative models and their ever more widespread deployment have raised concerns about their reliability, safety, and potential misuse. To address these issues, recent works have proposed to control model generation by steering model activations in order to effectively induce or prevent the emergence of concepts or behaviours in the generated …

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Implement RAG while meeting data residency requirements using AWS hybrid and edge services

With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on …

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Unlock multimodal search at scale: Combine text & image power with Vertex AI

The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query. To meet these demands, developers need robust multimodal search systems. In this blog post, we’ll share a powerful approach to build a …

KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs

Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially in non-English languages. Previous research has shown that combining information from KGs in different languages aids either Knowledge Graph Completion (KGC), the task of predicting missing relations between entities, or Knowledge Graph Enhancement (KGE), the …

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How BQA streamlines education quality reporting using Amazon Bedrock

Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document processing (IDP), coupled with the power of generative AI, emerges as …

Announcing Mistral AI’s Mistral Large 24.11 and Codestral 25.01 models on Vertex AI

Editor’s note: This announcement was originally published on November 21, 2024, announcing the general availability of Mistral Large 24.11 on Vertex AI. This announcement was updated on January 13, 2025, to reflect the availability of Codestral 25.01, Mistral AI’s newest model designed for code generation tasks.  In July, we announced the availability of Mistral AI’s …