deepsense.ai’s Post

Keeping our fingers crossed for Michał Pstrąg and his talk about our framework for building robust structured data retrieval for RAG pipeline or standalone LLM app. It's called db-ally, and you can find it here: 👉 https://lnkd.in/dVhaZwUS #LLM #RAG #AI

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Haven’t checked out the #DevAI24 agenda yet? It’s about time! 🔹"Querying structured data with LLMs in a systematic way" - Michał Pstrąg (deepsense.ai) 🔹"Będę grał w grę.... ze sztuczną inteligencją. Jak zbudować wieloagentową, narracyjną grę RPG opartą na modelach LLM i nowoczesnych narzędziach AI." - Piotr Kalinowski (Software Mind) 🔹"Time series forecasting with generative AI models - why and how?" - Jakub Adamczyk (AGH / Placewise) 🔹"Hackowanie AI w 2024" - Mateusz Chrobok (uczmnie.pl) 🔹"On-device Multimodal Agents with MLX VLM" - Prince Canuma (Arcee.ai) 🔹"Community Takes Control – Ready-to-Use AI Techniques for Building Relationships with Users" - Dominik Fidziukiewicz (Pixel Trapps) 🔹"Unlocking AI Value: Automating SSC Workflows with GenAI" - Magdalena Krupa (BCG X) 🔹"Better than Devin: how AI agents has written a production web app in my startup" - Grigorij Dudnik (TakŻyli) 🔹"Topic Analysis na produkcji" - Krzysztof Rajda (Brand24) 🔹"R w RAG (w psychiatrii). Jak wyciągać dobre źródła z wektorowej bazy danych?" - Zofia Smoleń (MindMatch.pl) See more: https://devai.dssconf.pl/

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