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š LLMs in search. BERT, embeddings, and production reality
- 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 & Dmitry Volokh
āļø Guest ā Roman Grebennikov , 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 , a software development company which Anton founded. They build R&D teams for startups and tech companies.
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By 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 & Dmitry Volokh
āļø Guest ā Roman Grebennikov , 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 , a software development company which Anton founded. They build R&D teams for startups and tech companies.