Governance of superintelligence
Now is a good time to start thinking about the governance of superintelligence—future AI systems dramatically more capable than even AGI.
How to use VPN with a VPC hub-and-spoke architecture
Site-to-site Virtual Private Network (VPN) has been used to connect distributed networks for decades. This post describes how to use a VPC VPN Gateway to connect an on-premises (enterprise) network to the IBM Cloud VPC in a transit hub-and-spoke architecture: VPN Gateway connectivity to a VPC transit hub and spoke. Each spoke can be operated …
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Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart
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 …
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How Auditoria.AI is building AI-powered smart assistants for finance teams
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 …
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Unveiling the Surprising Secrets of ChatGPT’s API & BARD for App Building
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 …
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3 Secret Power of Building Next-Level AI Apps using ChatGPT & BARD
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 …
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Learning to Detect Novel and Fine-Grained Acoustic Sequences Using Pretrained Audio Representations
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 …
Debugging a FUSE deadlock in the Linux kernel
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 …
Improved CPU throttling measurement
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 …
Making ML models differentially private: Best practices and open challenges
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 …
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