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.

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Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116

Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116

In this episode, I speak with Ksenia Konyushkova, Ph.D. student in the CVLab at Ecole Polytechnique Federale de Lausanne in Switzerland. Ksenia and I connected at NIPS in December to discuss her inter...

5 Mars 201831min

Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115

In this episode, I speak with Mike Del Balso, Product Manager for Machine Learning Platforms at Uber. Mike and I sat down last fall at the Georgian Partners Portfolio conference to discuss his present...

1 Mars 201849min

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114

For today’s show, the final episode of our Black in AI Series, I’m joined by Zenna Tavares, a PhD student in the both the department of Brain and Cognitive Sciences and the Computer Science and Artifi...

26 Feb 201828min

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113

In this episode, I speak with Sriraam Natarajan, Associate Professor in the Department of Computer Science at UT Dallas. While at NIPS a few months back, Sriraam and I sat down to discuss his work on ...

23 Feb 201847min

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112

In this episode, part 4 in our Black in AI series, i'm joined by Charles Onu, Phd Student at McGill University in Montreal & Founder of Ubenwa, a startup tackling the problem of infant mortality due t...

20 Feb 201848min

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111

In today’s episode, I’m joined by Roland Memisevic, co-founder, CEO, and chief scientist at Twenty Billion Neurons. Roland joined me at the RE•WORK Deep Learning Summit in Montreal to discuss the work...

15 Feb 201832min

Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110

Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110

In this episode, the third in our Black in AI series, I speak with Ayanna Howard, Chair of the Interactive School of Computing at Georgia Tech. Ayanna joined me for a lively discussion about her work ...

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Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109

Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109

For today’s show, I'm joined by Nyalleng Moorosi, Senior Data Science Researcher at The Council for Scientific & Industrial Research or CSIR, in Pretoria, South Africa. In our discussion, we discuss t...

8 Feb 201852min

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