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EP 184: On-Device AI: What it is and do we need it? What no one's talking about.

EP 184: On-Device AI: What it is and do we need it? What no one's talking about.

FromEveryday AI Podcast – An AI and ChatGPT Podcast


EP 184: On-Device AI: What it is and do we need it? What no one's talking about.

FromEveryday AI Podcast – An AI and ChatGPT Podcast

ratings:
Length:
37 minutes
Released:
Jan 12, 2024
Format:
Podcast episode

Description

On-device AI is coming to all of our devices. But, do we need it? From the potential benefits of increased productivity and seamless integration with our devices to concerns about privacy, resource consumption, and the lack of a "kill switch," we explore the untold side of on-device AI that no one's talking about. Join us as we uncover the hidden truths of this technological trend, discuss the impact on companies like Microsoft and Apple, and anticipate the release of llama 2 and its intriguing offline integration. Stay with us to be in the know about generative AI, and its far-reaching implications in our everyday lives.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode page Join the discussion: Ask Jordan and Nancy questions on GPTsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps: 00:00 Welcome to the show! 03:12 Daily AI News06:54 Trend towards bringing generative AI to devices.10:50 Speculation on Apple's offline/on-device AI plans.13:59 Personal AI reduces latency, making tasks instant.16:25 On-device AI enhances productivity, seamless integration.20:28 GPT-3 technology requires significant resources and testing.24:20 On-device AI downsides include lack of control.27:06 Speech describes potential impact of AI technology.32:36 Reduced cloud prompting by 90% using on-device AI.33:31 Enjoyed learning about on device AI, share ideas.Topics Covered in This Episode: 1. Concerns about implications of on-device AI2. Anticipation around llama 2 release3. Speculations on Apple's generative AI project4. Benefits and drawbacks of on-device AI 5. Integration of large language models with smart assistants6. New AI-powered hardware devices7. Challenges and drawbacks of on-device AI8. Purpose of podcast and recent AI newsKeywords: On-device AI, Kill switch, User consent, Opt-out option, Accessibility, Environmental impact, AI programs, AI technologies, Microsoft, NVIDIA, Qualcomm, Meta, Apple, Llama 2, Offline integration, Market adoption rates, Generative AI, Cloud-based AI, Large language models, Smart assistants, Alexa, Google Home, Rabbit r one, Meta Ray Ban glasses, Resource consumption, Battery life, Skynet factor, Podcast, Livestream, ChatGPT, Typeface.Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/
Released:
Jan 12, 2024
Format:
Podcast episode

Titles in the series (100)

The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI. The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who's now the owner of a boutique digital strategy company with 20 years of martech experience.  Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output.  - Sign up for our free Prime Prompt Polish ChatGPT course: https://podPPP.com- Make sure to sign up for our daily newsletter at: https://youreverydayai.com- Email us: info@youreverydayai.com- Connect with Jordan on LinkedIn: https://www.linkedin.com/in/jordanwilson04/In the Everyday AI podcast, we'll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We'll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML.