137 Podcast
* How modern search is built and where LLMs fit in. * How semantic search architectures are designed and evaluated * Why BERT is still the baseline in many systems * Fine-tuning strategies, training data, and infrastructure trade-offs * What's possible in multimodal, and what usually isn't worth the effort * Choosing between PostgreSQL and vector databases * What often blocks companies from improving search, from training data to infra š„ Hosts - Anton Zhuravsky [https://www.linkedin.com/in/anton-zhuravsky-40690124/] & Dmitry Volokh [https://www.linkedin.com/in/davolokh/] āļø Guest ā Roman Grebennikov [https://www.linkedin.com/in/romangrebennikov/], who has been building search at Delivery Hero, and has also built his own search engine ā Nixieserach.ai The podcast is brought to you by ā On The Spot Developmentā [https://onthespotdev.com/], a software development company which Anton founded. They build R&D teams for startups and tech companies.
5 episodes
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