To start, I would choose an introduction/beginner course that I like the look of or recommendations from another person who I know has good Python skills. You might have heard…
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Exploratory Data Analysis (or EDA) stands as a core phase within the Data Analysis Process, emphasizing a thorough investigation into a dataset's inner details and…
Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character recognition, capitalizing on the strength of…
Running a multimodal LLaVA model, camera, and speech synthesis Image by Enoc Valenzuela, UnsplashModern large multimodal models (LMMs) can process not only text but also different types of data. Indeed,…
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As a professional who works with data, I understand the importance of being efficient and accurate in the workplace. That's why I believe mastering the…
In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for reasoning across various modalities. However, while…
Meta’s open-source Seamless models: A deep dive into translation model architectures and a Python implementation guide using HuggingFace This post was co-authored with Rafael Guedes. The growth of an organization…
Traditional invoice processing methods often fall short in the ever-evolving landscape of business operations, where time is money and precision is paramount. Cumbersome, time-consuming, and prone to errors, manual invoice…
Procurement is a pivotal function for any business upon which the pillars of strategic sourcing and cost management rest. This is more than just buying; it's about acquiring goods and…
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In any data pipeline, the data ingested from the sources typically goes through several transformations, so much that the data consumed from the…