Piotr Gryko

Anonymization of sensitive information in financial documents using, python, diffusion models and named entity recognition Data is the fossil fuel of the machine learning world, essential for developing high quality models but in limited supply.

Unlock sensitive data potential with anonymization! Learn how Python, diffusion models, and Named Entity Recognition (NER) empower institutions to anonymize PII in financial documents, replacing it with synthetic stand-ins. Discover open-source, self-hosted tools to ensure privacy while...

Django's async capabilities and batteries-included tooling make it an ideal framework for quickly building MVPs and iterating. This talk demonstrates building a document search MVP with Django templates, ChromaDB, and hosted large language models. It then shows how to refactor and scale it using...

So you've built an AI startup using Async DJango - the MVP looks great and your hand full of users love it. Now you need to clean up the MVP, so you can scale. This is the Part Two, to building an AI startup with Async DJango - we talk about moving from ChromaDb to a OpenSearch/ElasticSearch,...