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A tartalmat a Software Engineering Daily biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering Daily vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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The Challenge of AI Model Evaluations with Ankur Goyal

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Manage episode 487962954 series 2396472
A tartalmat a Software Engineering Daily biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering Daily vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability.

However, evaluating LLMs presents unique challenges due to their complexity, versatility, and potential for unpredictable behavior.

Ankur Goyal is the CEO and Founder of Braintrust Data, which provides an end-to-end platform for AI application development, and has a focus on making LLM development robust and iterative. Ankur previously founded Impira which was acquired by Figma, and he later ran the AI team at Figma. Ankur joins the show to talk about Braintrust and the unique challenges of developing evaluations in a non-deterministic context.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post The Challenge of AI Model Evaluations with Ankur Goyal appeared first on Software Engineering Daily.

  continue reading

117 epizódok

Artwork
iconMegosztás
 
Manage episode 487962954 series 2396472
A tartalmat a Software Engineering Daily biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Software Engineering Daily vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability.

However, evaluating LLMs presents unique challenges due to their complexity, versatility, and potential for unpredictable behavior.

Ankur Goyal is the CEO and Founder of Braintrust Data, which provides an end-to-end platform for AI application development, and has a focus on making LLM development robust and iterative. Ankur previously founded Impira which was acquired by Figma, and he later ran the AI team at Figma. Ankur joins the show to talk about Braintrust and the unique challenges of developing evaluations in a non-deterministic context.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Currently, Sean is an AI Entrepreneur in Residence at Confluent where he works on AI strategy and thought leadership. You can connect with Sean on LinkedIn.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post The Challenge of AI Model Evaluations with Ankur Goyal appeared first on Software Engineering Daily.

  continue reading

117 epizódok

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