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AI development is shifting from static, task-centric models to dynamic, adaptable agent-based systems suitable for various applications. AI systems aim to gather sensory data and effectively…
Object Detection ModelsObject detection is an involved process which helps in localization and classification of objects in a given image. In part 1, we developed an…
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…
Graph Neural Networks (GNNs) are deep learning methods that operate on graphs and are used to perform inference on data described by graphs. Graphs have been…
Efficiently scaling GPT from large to titanic magnitudes within the meta-learning frameworkGPT is a family of language models that has been recently gaining a lot of…
Image by Author As a professional who works with data, I understand the importance of being efficient and accurate in the workplace. That’s why I…
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…
Image by Author Exploratory Data Analysis (or EDA) stands as a core phase within the Data Analysis Process, emphasizing a thorough investigation into a dataset’s…
One of the most exciting developments in this field is the investigation of state-space models (SSMs) as an alternative to the widely used Transformer networks. These…
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…