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محتوای ارائه شده توسط swivl. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط swivl یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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2023 Recap: Generative AI & ChatGPT

1:12:58
 
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Manage episode 386613915 series 3470116
محتوای ارائه شده توسط swivl. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط swivl یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode, we nerd about about all things genAI — a year in review:

  • We give a recap of genAI’s impact this year, and highlight a few areas of impact
    • Economy and the markets
      • “Generative AI, the broader tech category ChatGPT falls under, has been projected to add up to $4.4 trillion in value to the global economy per year thanks to productivity boosts.”
    • Re-skilling as a job, and the new roles sprouting up this year
  • We dive into Reinforcement Learning from Human Feedback (RLHF), and how central this concept has been for the major LLM players.
  • The team discusses some of the “wins” of the year, while also some “fails”
    • In the win corner:
      • Major updates and breakthroughs
      • chatGPT passes almost every professional test
      • impact to the economy
    • In the fail corner:
      • Bing Chatbot's other personality, Sydney.
      • Work Disruptions and hallucinations
      • Concerns about the technology were a central focal point of the writers and actors strikes.
      • The arms race to build the data centers that power AI models is sucking up scarce water resources.
  • The team also discuss some interesting developments in AI
    • What the top players did right; in-depth takes about OpenAI, Google, Microsoft, Meta, Apple, Midjourney, Adobe, and more.
    • Other than LLMs, some of the other model types to keep an eye on: Vision, Audio, and hardware
    • Multimodality is mentioned as a huge aspect and the hosts predict its growth in the coming year.
    • Auto GPT and using agents to complete tasks is a fascinating possibility.
    • How hardware and new interfaces will be critical to the success of AI
  • At the end of the episode, the team speed runs through some “hot takes” of what is to come. Wait until you listen to Kyle’s thoughts.
  • Resources
  continue reading

31 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 386613915 series 3470116
محتوای ارائه شده توسط swivl. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط swivl یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode, we nerd about about all things genAI — a year in review:

  • We give a recap of genAI’s impact this year, and highlight a few areas of impact
    • Economy and the markets
      • “Generative AI, the broader tech category ChatGPT falls under, has been projected to add up to $4.4 trillion in value to the global economy per year thanks to productivity boosts.”
    • Re-skilling as a job, and the new roles sprouting up this year
  • We dive into Reinforcement Learning from Human Feedback (RLHF), and how central this concept has been for the major LLM players.
  • The team discusses some of the “wins” of the year, while also some “fails”
    • In the win corner:
      • Major updates and breakthroughs
      • chatGPT passes almost every professional test
      • impact to the economy
    • In the fail corner:
      • Bing Chatbot's other personality, Sydney.
      • Work Disruptions and hallucinations
      • Concerns about the technology were a central focal point of the writers and actors strikes.
      • The arms race to build the data centers that power AI models is sucking up scarce water resources.
  • The team also discuss some interesting developments in AI
    • What the top players did right; in-depth takes about OpenAI, Google, Microsoft, Meta, Apple, Midjourney, Adobe, and more.
    • Other than LLMs, some of the other model types to keep an eye on: Vision, Audio, and hardware
    • Multimodality is mentioned as a huge aspect and the hosts predict its growth in the coming year.
    • Auto GPT and using agents to complete tasks is a fascinating possibility.
    • How hardware and new interfaces will be critical to the success of AI
  • At the end of the episode, the team speed runs through some “hot takes” of what is to come. Wait until you listen to Kyle’s thoughts.
  • Resources
  continue reading

31 قسمت

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