Weaviate Podcast
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
Latest episodes
May 24, 2022 • 45min
Etienne Dilocker on ANN Benchmarks
Weaviate Podcast #16. ANN Benchmarks are a tool for evaluating the performance of in-memory approximate nearest neighbor algorithms. Etienne Dilocker, the CTO of SeMI Technologies, the company behind Weaviate shares some insight knowledge about this interesting topic.
May 3, 2022 • 1h 11min
Maximilian Werk on Jina AI's Neural Search Framework
Weaviate Podcast #15. Weaviate is used as a database for Jina AI's Neural Search Framework. In this podcast, Maximilian Werk, Engineering Director at Jina AI, will talk about all things related to this neural search framework together with Connor Shorten. Also, Maximilian will give a Jina Example Walkthrough... Enjoy!!
Apr 26, 2022 • 28min
UNC research team on VL Adapter for Efficient CLIP Transfer
Weaviate Podcast #14. Thanks for watching the Weaviate podcast! Our 14th episode welcomes Yi-Lin Sung, Jaemin Cho, and Professor Mohit Bansal, a research team from UNC! Our guests present their work on VL Adapter, a technique to achieve full fine-tuning performance while only updating 4% of original parameters!! This is an incredibly interesting finding for the sake of cost-effective tuning of Vision and Language models based on CLIP. We additionally discussed topics around compression bottlenecks in neural architectures, V&L datasets, and the tricky question of compositional generalization. If you are curious about using CLIP in Weaviate, please check out this text-to-image search example with Unsplash images and a React frontend!
Apr 5, 2022 • 47min
Data Science with Rick Lamers from Orchest
Weaviate Podcast #13. Rick Lamers, CEO, and Founder of Orchest.io. Orchest is a tool targeted at data scientists and this software simplifies building data pipelines.
Mar 29, 2022 • 1h
Jonathan Frankle, Research Scientist in Deep Learning
Weaviate Podcast #12. Please check out Composer from MosaicML! https://github.com/mosaicml/composer Jonathan Frankle is the Chief Scientist at MosaicML and a PhD student in Machine Learning at MIT. Jonathan is the first author of “The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks” which won an ICLR best paper award. You can learn more about Jonathan Frankle here: http://www.jfrankle.com/. Here is an explanation of how to use the Python library of Composer: https://www.youtube.com/watch?v=Xi_5w...
Mar 15, 2022 • 1h 17min
CEO Han Xiao From Jina AI
Weaviate Podcast #11. You can now use Weaviate as the document store for DocumentArray in Jina AI. We had the pleasure to talk with their CEO Han Xiao. See the timestamps below what it is all about, or check out the recap from Henry AI!
Mar 10, 2022 • 1h 1min
Yury Malkov and Etienne Dilocker about HNSW in Vector Search and Weaviate
Weaviate Podcast #10. A guided conversation about HNSW by Connor Shorten between Yury Malkov, Staff ML Engineer at Twitter and the co-inventor of HNSW, and Etienne Dilocker, the co-founder of Weaviate. Check the timestamps below!
Mar 3, 2022 • 54min
Karen Beckers about The Role of Vector Search in eCommerce
Weaviate Podcast #9. Karen Beckers, Data Scientist from Squadra Machine Learning Company, gives insightful information about how to use vector search in eCommerce in this podcast with Connor Shorten. Some topics are image-based datasets, vector search for data scientists, the future of eCommerce, and many more! See the timestamps below for more information.
Feb 28, 2022 • 1h 20min
Brady Neal about Causal Inference in Vector Search
Weaviate Podcast #8. Brady Neal from Oogway talks with Connor Shorten from Henry AI Labs about causal inference and many more. See the timestamps below to check out what this podcast is all about.
Feb 11, 2022 • 48min
Arvind Neelakantan of OpenAI • Embeddings API in Weaviate
Weaviate Podcast #7. Arvind Neelakantan, Research Lead at Open AI, talks with Connor Shorten about their newly released embeddings API, his work at Open AI, the integration into Weaviate, and more.
