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Performance deep dive of Gemma on Google Cloud

Earlier this year we announced Gemma, an open weights model family built to enable developers to rapidly experiment with, adapt, and productionize on Google Cloud. Gemma models can run on your laptop, workstation, or on Google Cloud through either Vertex AI or Google Kubernetes Engine (GKE) using your choice of Cloud GPUs or Cloud TPUs. …

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User-Centered Machine Learning for Visual Search

AuthorsDimitrios Lymperopoulos, Head of Machine Learning, Palantir Ben Radford, Product Manager, Palantir In our previous blog post, we introduced User-Centered Machine Learning (UCML). The core UCML workflow enables end users to rapidly adapt cutting-edge Computer Vision (CV) capabilities to their specific and evolving missions, based on their feedback. It combines the power of research-grade detection models …

The Making of VES: the Cosmos Microservice for Netflix Video Encoding

Liwei Guo, Vinicius Carvalho, Anush Moorthy, Aditya Mavlankar, Lishan Zhu This is the second post in a multi-part series from Netflix. See here for Part 1 which provides an overview of our efforts in rebuilding the Netflix video processing pipeline with microservices. This blog dives into the details of building our Video Encoding Service (VES), and …

How the Masters uses watsonx to manage its AI lifecycle

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching …

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Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). Access to additional data helps the model generate more relevant, context-specific, and accurate responses without retraining the FMs. In this post, we discuss two new features of Knowledge Bases for …

Powering the next generation of AI startups with Google Cloud

Today, many of the most exciting innovations in generative AI are coming from fast-growing startups.  We’re proud that the majority of these companies are building on Google Cloud, using our open and optimized stack for AI; broad choice of models and compute infrastructure; and many important resources and routes-to-market tailored for startups. In fact more …

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Implementing MOSA with Software Defined Systems Integration

To stay competitive in the future fight against rapidly evolving threats and sophisticated adversaries, the Department of Defense is embracing and celebrating software-led hardware, as seen in the Army’s most recent modernization programs. Palantir is proud to take part in and lead this wave of change, as seen through the most recent TITAN program acquisition …

Why CHROs are the key to unlocking the potential of AI for the workforce 

It’s no longer a question of whether AI will transform business and the workforce, but how it will happen. A study by the IBM® Institute for Business Value revealed that up to three-quarters of CEOs believe that competitive advantage will depend on who has the most advanced generative AI.  With so many leaders now embracing …

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data using a fully managed Retrieval Augmented Generation (RAG) model. For RAG-based applications, the accuracy of the generated responses from FMs …

Discover 100+ generative AI solutions from our partners at Next ‘24

Generative AI (gen AI) is well on its way to transforming…well, just about everything. Over the last year, I’ve had the opportunity to meet and speak with hundreds of partners and customers on the topic. We’ve seen how broad gen AI potential is across industries, with use cases spanning fraud detection and response in financial …