Weaviate Podcast

Oct 30 2024 108 ep. 56 mins 29

Weaviate Podcast artwork

Join Connor Shorten as he interviews Weaviate community users, leading machine learning experts, and explores Weaviate use cases from users and customers.

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SWE-bench with John Yang and Carlos E. Jimenez - Weaviate Podcast #107!

Oct 30 2024 58 mins

Hey everyone! Thank you so much for watching the 107th episode of the Weaviate Podcast! This one dives into SWE-bench, SWE-agent, and most recently SWE-bench Multimodal with John Yang from Stanford University and Carlos E. Jimenez from Princeton University! One of the most impactful applications of AI we have seen so far is in programming and software engineering! John, Carlos, and

AI in Education with Rose E. Wang - Weaviate Podcast #106!

Oct 22 2024 51 mins

Hey everyone! I am SUPER excited to publish the 106th episode of the Weaviate Podcast featuring Rose E. Wang!! Rose is a Ph.D. student at Stanford University where she has lead incredible research at the cutting-edge of AI applications in Education. The podcast heavily discusses her recent work on Tutor CoPilot! Tutor CoPilot is one of the world's largest randomized control trials

Compound AI Systems with Philip Kiely - Weaviate Podcast #105!

Oct 17 2024 56 mins

Hey everyone! Thank you so much for tuning into the 105th episode of the Weaviate Podcast! This one features Philip Kiely diving into all sorts of apsects related to Compound AI Systems! We are now seeing far better results with AI models by breaking up tasks into multiple stages and inferences. Philip explains the work they are doing at Baseten to optimize and scale deployments of

AI Agents That Matter with Sayash Kapoor and Benedikt Stroebl - Weaviate Podcast #104!

Sep 18 2024 60 mins

AI Researchers have overfit to maximizing state-of-the-art accuracy at the expense of the cost to run these AI systems! We need to account for cost during optimization. Even if a chatbot can produce an amazing answer, it isn't that valuable if it costs, say $5 per response! I am beyond excited to present the 104th Weaviate Podcast with Sayash Kapoor and Benedikt Stroebl from P

MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103

Aug 28 2024 60 mins

I am beyond excited to publish our interview with Krista Opsahl-Ong from Stanford University! Krista is the lead author of MIPRO, short for Multi-prompt Instruction Proposal Optimizer, and one of the leading developers and scientists behind DSPy! This was such a fun discussion beginning with the motivation of Automated Prompt Engineering, Multi-Layer Language Programs (also commonl

AI-Native Development with Guy Podjarny and Bob van Luijt - Weaviate Podcast #102!

Aug 14 2024 52 mins

AI is completely transforming how we build software! But how exactly? What does it mean for a software application to be AI-Native versus AI-Enabled? How many other aspects of software development and creativity are impacted by AI? I am super excited to publish our 102nd Weaviate Podcast with Guy Podjarny and Bob van Luijt on AI-Native Development! Guy Podjarny is a co-founder of

Scaling Pandas with Devin Petersohn - Weaviate Podcast #101!

Jul 17 2024 47 mins

Hey everyone! Thank you so much for watching the 101st episode of the Weaviate Podcast with Devin Petersohn! Devin is the creator of Modin, one of the world's most advanced systems for scaling Pandas! Devin then went onto co-found Ponder, which was acquired by Snowflake in early 2023. This was one of my favorite podcasts of all time, I learned so much about the internals of Dat

Generative UIs with Lucas Negritto and Bob van Luijt!

Jul 04 2024 43 mins

What is an AI-native application? This has been one of the questions we are most interested in answering at Weaviate! This podcast explores this question with Weaviate Co-founder Bob van Luijt and Lucas Negritto. Formerly at OpenAI, Lucas is now building Odapt, a remarkable example of such an application where we no longer use front-end code, rather rendering the UI entirely within

ACORN with Liana Patel and Abdel Rodriguez - Weaviate Podcast #99!

Jun 25 2024 53 mins

Liana Patel is a Ph.D. student at Stanford University who is the lead author of ACORN, a breakthrough in Approximate Nearest Neighbor Search with Filters! Also joining the podcast is Abdel Rodriguez, a Vector Index Researcher and Engineer at Weaviate. This podcast dives into all sorts of details behind ACORN. Starting with how Liana developed her interest in Approximate Nearest Nei

Window Search Tree with Josh Engels - Weaviate Podcast #98!

Jun 19 2024 58 mins

Josh Engels is a Ph.D. student at MIT who has published several works advancing the state of the art in Vector Search. Josh has recently developed the Window Search Tree, a new algorithm particularly targeted for improving Filtered Vector Search. Even more particularly than that, the WST algorithm targets Filtered Search with continuous-valued filters such as "price" or &