Agentic AI: Working As Instructed

Compiler

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محتوای ارائه شده توسط Red Hat. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Red Hat 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

How to Be a Better Human

1
Throwing good parties and building community (w/ Priya Parker) 38:16

24 weeks پیش38:16

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

38:16

Many of us are entering the new year with a similar goal — to build community and connect more with others. To kick off season five, Priya Parker shares ideas on how to be the host with the most. An expert on building connection, Priya is the author of “The Art of Gathering: How We Meet and Why It Matters.” Whether it's a book club, wedding, birthday or niche-and-obscurely themed party, Priya and Chris talk about how to create meaningful and fun experiences for all of your guests — including yourself. For the full text transcript, visit go.ted.com/BHTranscripts . For the full text transcript, visit go.ted.com/BHTranscripts Want to help shape TED’s shows going forward? Fill out our survey here ! Learn more about TED Next at ted.com/futureyou Hosted on Acast. See acast.com/privacy for more information.…

حدود یک سال پیش 37:36

MP3•خانه قسمت

Agentic AIs are showing promise for tedious work. But it’s hard to explain exactly how you want it done—and getting it wrong could create big problems.
This episode of Compiler investigates how Agentic AIs could carry out their tasks and how some agents are taking their baby steps in the wide world. The team also considers the difficulties humans have expressing what we want computers to do for us, and how that could create unintended consequences.

77 قسمت

Agentic AI: Working As Instructed

Compiler

11,488 subscribers

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

77 قسمت

כל הפרקים

1
Context And The True "Cost" Of AI 41:12

24 روز پیش41:12

41:12

Sure, AI has made a splash. And it's on us to level up, learn the ropes, and roll with it. But how do we even do that? And what cool human stuff might we accidentally ditch along the way? The Compiler team ends the season discussing the importance of context, creativity, and applied knowledge.

1
Agentic AI: Working As Instructed 37:36

۵ weeks پیش37:36

37:36

Agentic AIs are showing promise for tedious work. But it’s hard to explain exactly how you want it done—and getting it wrong could create big problems. This episode of Compiler investigates how Agentic AIs could carry out their tasks and how some agents are taking their baby steps in the wide world. The team also considers the difficulties humans have expressing what we want computers to do for us, and how that could create unintended consequences.…

1
Breaking Down AI Biases 34:27

۷ weeks پیش34:27

34:27

Does your health insurance chatbot need to tell jokes? No. Does it need to be accurate? Absolutely. That's hard when biases get in the way. The introduction of bias into a model can be unintentional, but it can have significant consequences for those relying on its guidance. The Compiler team examines the ways bias can creep in, and what steps can be taken to address it.…

1
Diagnosing and Dispelling AI Hallucinations 33:43

۹ weeks پیش33:43

33:43

AI is notorious for making stuff up. But it doesn’t always tell you when it does. That’s a problem for users who may not realize hallucinations are possible. This episode of Compiler investigates the persistent problem of AI Hallucination. Why does AI lie? Do these AI models know they’re hallucinating? What can we do to minimize hallucinations—or at least get better at seeing them?…

1
Chasing Its Own Tail 36:43

11 weeks پیش36:43

36:43

With the massive flow of AI-generated content onto the internet, it was only a matter of time until all of those bits of data found their way back into AI models. But what do you get when generative AI models start getting their answers from that content? The Compiler team digs into AI feedback loops, and the unique challenges they present for technologists...and everyone else.…

1
Navigating Data Rights In AI 38:42

13 weeks پیش38:42

38:42

Copyright infringement is a huge issue for AI training and use. Can LLMs give you copyrighted content? What data can you use to train and tune your own model? In this episode of Compiler, we explore who owns what when AI models learn from protected content—and why it matters.

1
AI Building Blocks 40:22

15 weeks پیش40:22

40:22

There’s no one AI model to rule them all. Each project has its own requirements. Where do you get started building your own model? Compiler continues its conversations with big dreamers about their big projects—and how they’re piecing together the building blocks of their AI models.

1
Pie In The Sky 33:07

17 weeks پیش33:07

33:07

There is a lot of excitement around AI models, but can it meet the expectations set by blockbuster movies? What’s the current inflection point between what’s feasible and what’s not? The Compiler team talks to both big dreamers and heavy adopters wading into the space, hearing their thoughts on how AI can help scale daunting work, fill in the gaps, and make the fantastic into reality.…

1
AI 101 40:37

19 weeks پیش40:37

40:37

Everyone’s talking about AI. Everyone says it’s the future. To find out where we’re going, we should know how we got here—and exactly what we’re working with. We hear a short history of AI development before diving into how it’s already changed the ways we learn and code.

1
The Truth About Netcode 26:51

1 year پیش26:51

26:51

Online multiplayer games are a staple of modern entertainment. But internet connectivity is an unpredictable factor in the experience. That’s why netcode exists. But what is it? And how does it really affect players?

1
Air-gapped Networks 26:38

1 year پیش26:38

26:38

From healthcare to banking, there’s a lot of industries that require the utmost protection for sensitive data. But for those sectors, innovation is also essential. That’s why disconnected environments—or air-gap environments—can be seen across the IT landscape. But how do they work? How do technologists ensure the data is accurate and usable, and how can these environments foster innovation?…

1
Linux, Shadowman, And Open Source Spirit 27:35

1 year پیش27:35

27:35

Red Hat Enterprise Linux has been around for a while. For many technologists, be they professional or hobbyist, it jump started their interest in open source. But how did the operating system, and the culture behind it, strike a chord with so many people?

1
Conferences 102 32:54

1 year پیش32:54

32:54

We all know what industry conferences are for. You see the talks, you do the networking, you get the swag. Anything else? Well, yes, actually. In our second episode on tech conferences, we cover how to make the most of attending them. How can you prepare? What do you do in the moment? And how do you use that experience after you return to the office?…

1
Sustainability Beyond Servers 31:08

1 year پیش31:08

31:08

Last year, we discussed the impact of data centers on the global power grid. We know open source technology can help us optimize our power consumption. But people are looking at sustainable energy usage beyond the server. How can technologists think about the balance between sustainability, business operations, and their customers’ needs?…

1
Rolling With The Punches 24:23

1 year پیش24:23

24:23

Career paths are full of unexpected challenges. In the last installment of our career series, we hear how a little empathy and authenticity helped two budding IT professionals stay the course and find their calling.

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