Category: Misc

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the…

Language models generate text by predicting the next token, given all the previous tokens including the input text tokens. Key and value elements of the previous tokens are used as historical context in LLM serving for generation of the next set of tokens. Caching these key and value elements from previous tokens avoids expensive recomputation and effectively leads to higher throughput. However…

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The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an…

The introduction of the NVIDIA Jetson Orin Nano Super Developer Kit sparked a new age of generative AI for small edge devices. The new Super Mode delivered an unprecedented generative AI performance boost of up to 1.7x on the developer kit, making it the most affordable generative AI supercomputer. JetPack 6.2 is now available to support Super Mode for Jetson Orin Nano and Jetson Orin NX…

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With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI…

With as many as 800,000 forgotten oil and gas wells scattered across the US, researchers from Lawrence Berkeley National Laboratory (LBNL), have developed an AI model capable of accurately locating these wells at scale—ones that may be leaking toxic chemicals and greenhouse gases, like methane, into the environment. The model is designed to identify many of the roughly 3.7M oil and gas wells…

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Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like…

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like skforecast make it easy to run time series forecasts on your data. They allow you to “bring your own” regressor that is compatible with the scikit-learn API, giving you the flexibility to work seamlessly with the model of your choice.

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AI agents are poised to transform productivity for the world’s billion knowledge workers with “knowledge robots” that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails — part of the NVIDIA NeMo Guardrails collection of
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Time to suit up, members. The multiverse is about to get a whole lot cloudier as GeForce NOW opens a portal to the first season of hit game Marvel Rivals from NetEase Games. Members can now game in a new dimension with expanded support for virtual- and mixed-reality devices. This week’s GeForce NOW app update
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AI agents present a significant opportunity for businesses to scale and elevate customer service and support interactions. By automating routine inquiries and…

AI agents present a significant opportunity for businesses to scale and elevate customer service and support interactions. By automating routine inquiries and enhancing response times, these agents improve efficiency and customer satisfaction, helping organizations stay competitive. However, alongside these benefits, AI agents come with risks. Large language models (LLMs) are vulnerable to…

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In recent years, large language models (LLMs) have achieved extraordinary progress in areas such as reasoning, code generation, machine translation, and…

In recent years, large language models (LLMs) have achieved extraordinary progress in areas such as reasoning, code generation, machine translation, and summarization. However, despite their advanced capabilities, foundation models have limitations when it comes to domain-specific expertise such as finance or healthcare or capturing cultural and language nuances beyond English.

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