↩️On April 18, #PyDataYVN meetup speaker Yuri Orshulevich conducted his talk on “LLM-Generated Text Detection” by focusing on LLM content, its possible detection approaches, and ready-made solutions.
The full talk video will be available soon.
💡Yesterday, Egor Romanov delved into the vector databases’ performance, discovering their role in advancing AI applications like #RAG, and ran benchmarks during the #PyDataYVN January meetup.
Stay tuned for the upcoming talk video and catch a glimpse of the insightful moments!
📢A day is left until the #PyDataYVN meetup talk on “Performance of Vector Databases” by Egor Romanov, Software Engineer at Supabase. Register now: forms.gle/DFvqaLMjXtHVfUQP9
📅 Date: January 18
🕖 Time: 19:00
📍 Location: PMI Science R&D Center (Teryan 105, 13th building)
🔔Have you registered to join the “Performance of Vector Databases” #PyDataYVN meetup? forms.gle/DFvqaLMjXtHVfUQP9
Our speaker, Egor Romanov, is a Software Engineer at Supabase, an open-source Firebase alternative, overseeing product quality and conducting performance research.
1/3 #PyDataYVN meetup talk series is back for 2024! 🚀
Join us for “Performance of Vector Databases” talk featuring Egor Romanov, Software Engineer at Supabase.
🔔Yesterday, Vahan Huroyan finalized the row of #PyDataYVN meetup talks for 2023. With the main focus on current advancements in self-supervised learning for computer vision, the talk explained the main challenges and future directions of the field.
1/2 🎉 Yesterday, we kicked off our first #PyDataYVN meetups series featuring Gábor Szárnyas, a Developer Relations Advocate and Technical Writer at DuckDB Labs.
2/2🔹 Meet our first esteemed #PyDataYVN speaker, Gábor Szárnyas, a Developer Relations Advocate and Technical Writer at DuckDB Labs, who will provide a talk on “DuckDB: The Power of a Data Warehouse in your Python Process.”
Watch the #PyDataYVN 2022 speaker Rudolf Eremyan’s talk on “Building Data Pipelines on #AWS” to learn about:
🔹the ways of creating Data Pipelines on Amazon Web Services
🔹the hidden costs that can easily destroy the project's budget
#pydata#conferenceyoutu.be/JCBLhIiCWW0