PinnedInterpretability of ColPali in Financial DocumentsRetrieval Augmented Generation (RAG) is one of the most common use cases of LLMs. The first step of Retrieval is usually performed with…Jul 18, 2024Jul 18, 2024
PinnedBuilding a Financial Education Chatbot with Retrieval Augmented Generation (RAG)Part 2: RAG with embeddings and vector databaseJun 21, 2024Jun 21, 2024
PinnedSurya and EasyOCR: Vision Models and Data Extraction in Financial DocumentsSurya and EasyOCRSep 11, 2024Sep 11, 2024
PinnedFrom NeurIPS to the Real World: Key Takeaways from Competing in Pommerman“In theory there is no difference between theory and practice. In practice there is.” — Yogi BerraJun 26, 2024Jun 26, 2024
Using In-Context Learning and Semantic Similarity for Financial Education Chatbots v0.1This will be a series of blogposts addressing different challenges while developing a financial education chatbot.Jun 19, 2024Jun 19, 2024
Prompting, the Wonderful Wizard (Part 2)This is my second post about Large Language Models (LLMs).Jun 17, 2024Jun 17, 2024
Prompting, the Wonderful Wizard (Part 1)This is my first post about Large Language Models (LLMs), and given all the information available, it’s challenging to write something…Jun 12, 2024Jun 12, 2024
Lessons From Six Years of Applied Machine Learning in IndustryIt’s been more than six years since I started working in industry doing Machine Learning. I wanted to delve a bit deeper into my experience…Jun 4, 2024Jun 4, 2024
