Weaviate Podcast

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.

Maximilian Werk, Engineering Director at Jina AI, dives into the intricacies of Jina's neural search framework. He explores the importance of executors and the DocumentArray for optimizing operations. Listen as he shares insights on fine-tuning workflows and the challenges of labeling for search. They also discuss how multimodal documents can revolutionize data handling and the evolution of Jina into a microservice architecture. Maximilian’s expertise offers a glimpse into the future of search technology, making it a compelling listen for tech enthusiasts.

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!

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.

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...

Han Xiao, Founder and CEO of Jina AI, shares insights into the evolving world of neural search. He discusses his early experiences at Zalando and Tencent that fueled his passion for this tech. Han dives into building effective neural search pipelines, including hierarchical embeddings for images and the innovative DocumentArray structure. He outlines Jina Hub's foundations and how developers can publish their workflows easily. Lastly, he touches on the challenges of running an open-source company and the exciting future of multimodal searches.

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!

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.

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.

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.