Tag: faang

Customers from Japan to Ecuador and Sweden are using NVIDIA DGX H100 systems like AI factories to manufacture intelligence. They’re creating services that offer AI-driven insights in finance, healthcare, law, IT and telecom — and working to transform their industries in the process. Among the dozens of use cases, one aims to predict how factory …

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TL;DR The last paragraph says it all. What are the top 3 virtues a politician should possess and why? While personal opinions may vary, here are three virtues that are commonly considered important for politicians to possess: Integrity: Integrity is often considered a foundational virtue for politicians because it involves being honest, transparent, and consistent …

Read more “GPT-4s views on politicians”

TL;DR No lazy summary here … this article is worth reading in its entirety. Here is what ChatGPT (GPT-4) thinks about Professor Stuart Russell’s 10 reasons to ignore AI safety. We used the prompt In the context of discussing the risks associated with AGI (artificial general intelligence) what do you think about people who say: …

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Palantir Foundry for AI Governance Ethical AI in Action Editor’s Note: Written by Palantir’s Privacy and Civil Liberties (PCL) team, this blog post builds on our belief that, in order to preserve the truly valuable contributions of AI/ML, AI ethics and efficacy must move beyond the performative towards operational realities. In future posts, we’ll be addressing …

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Ruchir Jha, Brian Harrington, Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases. Engineers want their alerting system to be realtime, reliable, and actionable. While actionability is subjective …

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Posted by Babak Behsaz, Software Engineer, and Andrew Carroll, Product Lead, Genomics The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Large national efforts, such as the UK Biobank, have created large, public resources to better understand the links between environment, genetics, and …

Read more “An ML-based approach to better characterize lung diseases”

Recent large language models (LLMs) have enabled tremendous progress in natural language understanding. However, they are prone to generating confident but nonsensical explanations, which poses a significant obstacle to establishing trust with users. In this post, we show how to incorporate human feedback on the incorrect reasoning chains for multi-hop reasoning to improve performance on …

Read more “Improve multi-hop reasoning in LLMs by learning from rich human feedback”