A podcast for developers interested in building great software products. Every episode, Adam Wathan is joined by a guest to talk about everything from product design and user experience to unit testing and system administration.
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محتوای ارائه شده توسط PurePerformance. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط PurePerformance 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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با برنامه Player FM !
State of AI Observability with OpenLLMetry: The Best is Yet to Come with Nir Gazit
Manage episode 503653985 series 1163503
محتوای ارائه شده توسط PurePerformance. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط PurePerformance 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
Most AI projects still fail, are too costly, or don't provide the value they hoped to gain. The root cause is nothing new: it's non-optimized models or code that runs the logic behind your AI Apps. The solution is also not new: tuning the system based on insights from Observability!
To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!
Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and Agents
Links we discussed
Nir's LinkedIn: https://www.linkedin.com/in/nirga/
OpenLLMetry: https://github.com/traceloop/openllmetry
Traceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub
…
continue reading
To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!
Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and Agents
Links we discussed
Nir's LinkedIn: https://www.linkedin.com/in/nirga/
OpenLLMetry: https://github.com/traceloop/openllmetry
Traceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub
319 قسمت
Manage episode 503653985 series 1163503
محتوای ارائه شده توسط PurePerformance. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط PurePerformance 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
Most AI projects still fail, are too costly, or don't provide the value they hoped to gain. The root cause is nothing new: it's non-optimized models or code that runs the logic behind your AI Apps. The solution is also not new: tuning the system based on insights from Observability!
To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!
Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and Agents
Links we discussed
Nir's LinkedIn: https://www.linkedin.com/in/nirga/
OpenLLMetry: https://github.com/traceloop/openllmetry
Traceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub
…
continue reading
To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!
Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and Agents
Links we discussed
Nir's LinkedIn: https://www.linkedin.com/in/nirga/
OpenLLMetry: https://github.com/traceloop/openllmetry
Traceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub
319 قسمت
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