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Generative AI is in the midst of a period of stunning growth. Increasingly capable foundation models are being released continuously, with large language models (LLMs) being one of the most visible model classes. LLMs are models composed of billions of parameters trained on extensive corpora of text, up to hundreds of billions or even a …
Read more “Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart”
Be it marketing, sales, or even security, most departments in large organizations today have a range of SaaS tools at their disposal to help make their work more efficient. But people in corporate finance and accounting have been underserved in that respect. Their days are still spent on routine, mundane tasks that keep them away …
Read more “How Auditoria.AI is building AI-powered smart assistants for finance teams”
Unveiling the Surprising Secrets of ChatGPT’s API & BARD for Bot Building How Companies and Brands Need to think about Building AI Apps AI POWERED WORLD Prepare to be astonished as we unveil the superpowers of ChatGPT that go far beyond 99% of what people are building today. Hidden Benefit #1: Turning your Knowledge into an AI Powered Bot Imagine …
Read more “Unveiling the Surprising Secrets of ChatGPT’s API & BARD for App Building”
Get ready to witness a revelation that will transform the way you build apps! We are thrilled to unveil the surprising secrets of ChatGPT’s API, opening up a world of limitless possibilities for your app development journey. Brace yourself for an email that cuts straight to the chase! Secret #1 Supercharge your app with the immense potential …
Read more “3 Secret Power of Building Next-Level AI Apps using ChatGPT & BARD”
This work investigates pre-trained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semantically meaningful temporal structure, without assuming access to non-target audio. We develop procedures for pre-training suitable representations, and methods which transfer them to our few shot …
Tycho Andersen The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I work on fixing strange things that users report. This particular issue involved a custom internal FUSE filesystem: ndrive. It had been festering for some …
It has been a year and a half since we rolled out the throttling-aware container CPU sizing feature for IBM Turbonomic, and it has captured quite some attention, for good reason. As illustrated in our first blog post, setting the wrong CPU limit is silently killing your application performance and literally working as designed. Turbonomic …
Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, Google Research Large machine learning (ML) models are ubiquitous in modern applications: from spam filters to recommender systems and virtual assistants. These models achieve remarkable performance partially due to the abundance of available training data. However, these data can sometimes contain private information, including personal …
Read more “Making ML models differentially private: Best practices and open challenges”
Vision loss comes in various forms. For some, it’s from birth, for others, it’s a slow descent over time which comes with many expiration dates: The day you can’t see pictures, recognize yourself, or loved ones faces or even read your mail. In our previous blogpost Enable the Visually Impaired to Hear Documents using Amazon …
Making machine learning (ML) models work in production is hard. It usually requires not only a deep understanding of ML, data engineering, and software engineering, but also a variety of tools and technologies. BigQuery ML and Vertex AI make it easier to create, deploy, and manage machine learning models. BigQuery ML provides a SQL interface …
Read more “Build, automate, and monitor BigQuery ML models with Vertex AI MLOps capabilities”