AI Building Blocks

Compiler

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اضافه شده در four سال پیش

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
How to make the most of a finite life (w/ Oliver Burkeman) 40:22

26 weeks پیش40:22

پخش در آینده

لیست ها

پسندیدن

دوست داشته شد

40:22

There’s only so much you can do in a week – or, according to Oliver Burkeman, in the roughly 4,000 weeks the average human lives. Oliver is a journalist and author of the books Four Thousand Weeks: Time Management for Mortals, Meditations for Mortals, and the newsletter “The Imperfectionist.” Chris and Oliver discuss the paradox of why change can only occur once we accept that we might not be able to change. Oliver also shares how life’s mishaps can become our most treasured memories and why sharing your imperfections is an act of generosity. For the full text transcript, visit go.ted.com/BHTranscripts For the full text transcript, visit go.ted.com/BHTranscripts For a chance to give your own TED Talk, fill out the Idea Search Application: ted.com/ideasearch . Interested in learning more about upcoming TED events? Follow these links: TEDNext: ted.com/futureyou Hosted on Acast. See acast.com/privacy for more information.…

حدود یک سال پیش 40:22

MP3•خانه قسمت

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.

77 قسمت

AI Building Blocks

Compiler

11,489 subscribers

published حدود یک سال پیش

اشتراک گذاری

MP3•خانه قسمت

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.

77 قسمت

همه قسمت ها

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

۹ weeks 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

11 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

13 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

15 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

17 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

19 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

21 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

23 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

25 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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