AI Agents for Data Analysis with Shreya Shankar - #703

AI Agents for Data Analysis with Shreya Shankar - #703

Today, we're joined by Shreya Shankar, a PhD student at UC Berkeley to discuss DocETL, a declarative system for building and optimizing LLM-powered data processing pipelines for large-scale and complex document analysis tasks. We explore how DocETL's optimizer architecture works, the intricacies of building agentic systems for data processing, the current landscape of benchmarks for data processing tasks, how these differ from reasoning-based benchmarks, and the need for robust evaluation methods for human-in-the-loop LLM workflows. Additionally, Shreya shares real-world applications of DocETL, the importance of effective validation prompts, and building robust and fault-tolerant agentic systems. Lastly, we cover the need for benchmarks tailored to LLM-powered data processing tasks and the future directions for DocETL. The complete show notes for this episode can be found at https://twimlai.com/go/703.

Jaksot(781)

Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595

Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595

Today we’re joined by Ali Rodell, a senior director of machine learning engineering at Capital One. In our conversation with Ali, we explore his role as the head of model development platforms at Capi...

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AI-Powered Peer Programming with Vasi Philomin - #594

AI-Powered Peer Programming with Vasi Philomin - #594

Today we’re joined by Vasi Philomin, vice president of AI services at AWS, joins us for our first in-person interview since 2019! In our conversation with Vasi, we discussed the recently released Amaz...

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The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022!

The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022!

TWIMLcon: AI Platforms 2022 is just a day away! If you're interested in all things MLOps and Platforms/Infrastructure technology, this is the event for you! Register now at https://twimlcon.com/attend...

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Applied AI/ML Research at PayPal with Vidyut Naware - #593

Applied AI/ML Research at PayPal with Vidyut Naware - #593

Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things app...

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Assessing Data Quality at Shopify with Wendy Foster - #592

Assessing Data Quality at Shopify with Wendy Foster - #592

Today we’re back with another installment of our Data-Centric AI series, joined by Wendy Foster, a director of engineering & data science at Shopify. In our conversation with Wendy, we explore the dif...

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Transformers for Tabular Data at Capital One with Bayan Bruss - #591

Transformers for Tabular Data at Capital One with Bayan Bruss - #591

Today we’re joined by Bayan Bruss, a Sr. director of applied ML research at Capital One. In our conversation with Bayan, we dig into his work in applying various deep learning techniques to tabular da...

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Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590

Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590

Today we’re joined by Orit Peleg, an assistant professor at the University of Colorado, Boulder. Orit’s work focuses on understanding the behavior of disordered living systems, by merging tools from p...

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Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589

Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589

In this extra special episode of the TWIML AI Podcast, a friend of the show John Bohannon leads a jam-packed conversation with Hugging Face’s recently appointed head of research Douwe Kiela. In our co...

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