Like many PyTorch users, you may have heard great things about JAX — its high performance, the elegance of its functional programming approach, and its powerful, built-in support for parallel computation. However, you may have also struggled to find what you need to get started: a straightforward, easy-to-follow tutorial to help you understand the basics …
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This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1. In this article, we highlight a few exciting analytic business applications, and in our final article we’ll go …
Read more “Part 2: A Survey of Analytics Engineering Work at Netflix”
Telegram chatbots are rapidly gaining traction, with over 1.5 million bots already created. As one of the fastest-growing messaging platforms, Telegram boasts a user base exceeding 550 million globally, offering businesses an unparalleled opportunity to engage with their audience effectively. In an era where customers prefer direct communication, research from Social Media Today reveals that …
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NVIDIA’s AI Podcast gives listeners the inside scoop on the ways AI is transforming nearly every industry. Since the show’s debut in 2016, it’s garnered more than 6 million listens across 200-plus episodes, covering how generative AI is used to power applications including assistive technology for the visually impaired, wildfire alert systems and the Roblox …
Read more “Have You Heard? 5 AI Podcast Episodes Listeners Loved in 2024”
The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. …
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Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their data isn’t cost effective. To reduce costs while continuing to use the …
Read more “PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium”
When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to help ensure reliable slot filling. What …
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TL;DR A conversation with 4o about the potential demise of companies like Anthropic. As artificial intelligence (AI) continues to advance, the landscape is becoming increasingly competitive and ethically fraught. Companies like Anthropic, which have missions centered on developing “safe AI,” face unique challenges in an ecosystem where speed, innovation, and unconstrained power are often prioritized …
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Editor’s note: This is the second post in a series that explores a range of topics about upcoming AI regulation, including an overview of the the EU AI Act and Palantir solutions that foster and support regulatory compliance when using AI. This blog post provides an overview on how Palantir AIP empowers organizations to meet …
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David J. Berg*, David Casler^, Romain Cledat*, Qian Huang*, Rui Lin*, Nissan Pow*, Nurcan Sonmez*, Shashank Srikanth*, Chaoying Wang*, Regina Wang*, Darin Yu**: Model Development Team, Machine Learning Platform^: Content Demand Modeling Team A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases, managing …