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Το περιεχόμενο παρέχεται από το Marc. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Marc ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
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The Daily AI Briefing - 18/12/2024

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Manage episode 456217900 series 3613710
Το περιεχόμενο παρέχεται από το Marc. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Marc ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Welcome to The Daily AI Briefing, your daily dose of AI news. I'm Marc, and here are today's headlines. Today, we're covering major updates from OpenAI's API offerings, Nvidia's new AI supercomputer kit, DeepMind's groundbreaking FACTS benchmark, significant releases from Google, and important industry developments in AI content detection and funding. Let's start with OpenAI's latest API developments. The company has rolled out several significant updates, including access to their o1 reasoning model. This new offering comes with enhanced capabilities such as function calling, structured outputs, vision features, and reasoning effort control. The pricing structure is competitive, with the o1 API costing $15 per approximately 750,000 words analyzed and $60 for the same amount of words generated. They've also reduced realtime API costs by 60% for GPT-4o audio and introduced a more affordable 4o mini version at one-tenth of the regular price. The update includes WebRTC integration and new SDKs for Go and Java. Moving to hardware innovations, Nvidia has unveiled the Jetson Orin Nano Super Developer Kit, a compact yet powerful generative AI supercomputer priced at $249. This impressive device delivers 1.7 times the performance of its predecessor, with 70% more processing power and 50% additional memory. It's designed to handle multiple AI tasks simultaneously, from chatbot operations to robot control and multi-camera visual processing. The kit fully supports Nvidia's software ecosystem, including Isaac for robotics and Metropolis for vision AI applications. In the realm of AI evaluation, Google DeepMind has introduced FACTS Grounding, a new benchmark system for assessing the factual accuracy of large language models. This comprehensive evaluation framework utilizes 1,719 examples, complete with documents, system instructions, and user requests. The assessment involves three major AI models - Gemini 1.5 Pro, GPT-4o, and Claude 3.5 Sonnet - working together to judge response accuracy. Currently, Google's Gemini 2.0 Flash Experimental leads the pack with an impressive 83.6% factual grounding score. Google has also made waves with several new releases, including Imagen 3, their most advanced text-to-image model yet, featuring improved detail, lighting, and reduced artifacts. They've also launched Whisk for image-prompted generation and expanded their Gemini Code Assist tools for developers. Before we wrap up, it's worth noting that YouTube is collaborating with CAA to develop AI detection tools for managing AI-generated celebrity content, while Databricks has secured a massive $10 billion in funding at a $62 billion valuation for AI product expansion. That concludes today's AI Briefing. Remember to subscribe for your daily dose of AI news and developments. This is Marc, signing off until tomorrow, when we'll bring you more exciting updates from the world of artificial intelligence. Thank you for listening.
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63 επεισόδια

Artwork
iconΜοίρασέ το
 
Manage episode 456217900 series 3613710
Το περιεχόμενο παρέχεται από το Marc. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Marc ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
Welcome to The Daily AI Briefing, your daily dose of AI news. I'm Marc, and here are today's headlines. Today, we're covering major updates from OpenAI's API offerings, Nvidia's new AI supercomputer kit, DeepMind's groundbreaking FACTS benchmark, significant releases from Google, and important industry developments in AI content detection and funding. Let's start with OpenAI's latest API developments. The company has rolled out several significant updates, including access to their o1 reasoning model. This new offering comes with enhanced capabilities such as function calling, structured outputs, vision features, and reasoning effort control. The pricing structure is competitive, with the o1 API costing $15 per approximately 750,000 words analyzed and $60 for the same amount of words generated. They've also reduced realtime API costs by 60% for GPT-4o audio and introduced a more affordable 4o mini version at one-tenth of the regular price. The update includes WebRTC integration and new SDKs for Go and Java. Moving to hardware innovations, Nvidia has unveiled the Jetson Orin Nano Super Developer Kit, a compact yet powerful generative AI supercomputer priced at $249. This impressive device delivers 1.7 times the performance of its predecessor, with 70% more processing power and 50% additional memory. It's designed to handle multiple AI tasks simultaneously, from chatbot operations to robot control and multi-camera visual processing. The kit fully supports Nvidia's software ecosystem, including Isaac for robotics and Metropolis for vision AI applications. In the realm of AI evaluation, Google DeepMind has introduced FACTS Grounding, a new benchmark system for assessing the factual accuracy of large language models. This comprehensive evaluation framework utilizes 1,719 examples, complete with documents, system instructions, and user requests. The assessment involves three major AI models - Gemini 1.5 Pro, GPT-4o, and Claude 3.5 Sonnet - working together to judge response accuracy. Currently, Google's Gemini 2.0 Flash Experimental leads the pack with an impressive 83.6% factual grounding score. Google has also made waves with several new releases, including Imagen 3, their most advanced text-to-image model yet, featuring improved detail, lighting, and reduced artifacts. They've also launched Whisk for image-prompted generation and expanded their Gemini Code Assist tools for developers. Before we wrap up, it's worth noting that YouTube is collaborating with CAA to develop AI detection tools for managing AI-generated celebrity content, while Databricks has secured a massive $10 billion in funding at a $62 billion valuation for AI product expansion. That concludes today's AI Briefing. Remember to subscribe for your daily dose of AI news and developments. This is Marc, signing off until tomorrow, when we'll bring you more exciting updates from the world of artificial intelligence. Thank you for listening.
  continue reading

63 επεισόδια

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