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CLIP vs CLIPPO
Combining Vision and Language: A Look at OpenAI’s CLIP’s Potential and CLIPPO’s Quantum Leap for Multimodal Learning

OpenAI’s CLIP is a breakthrough in the computer vision. While OpenAI’s DALL-E creates images from text captions for a wide range of concepts expressible in natural language and OpenAI’s CLIP efficiently learns visual concepts from natural language supervision, CLIPPO is a quantum leap for Multimodal Learning in the field of computer vision.

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ABC-XYZ Classification in Supply Chain Intelligence

Poor inventory management often leads to out-of-stock situations for businesses that can be avoidable with proper tools and techniques. Product classification is a customizable and effective way to manage stocks by considering the properties of SKUs and their impact on sales…

Read More »
A Brief Introduction to Federated Learning

Federated Learning is a decentralized machine learning technique that follows a collaborative approach to train models. In this method, the processing is broken down across various devices where they are trained on specific data. This modelling happens on a local device level, distributed across multiple devices.

Read More »
Zero-shot Question Answering: a technique to advance conversational AI

Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

Read More »
How ChatGPT can boost Customer Analytics?

As businesses strive to improve customer satisfaction and drive growth, they’re increasingly turning to customer analytics to gain a deeper understanding of their customer’s needs and preferences. Customer analytics can help businesses understand their customers better, improve customer satisfaction and loyalty, optimize marketing campaigns, and increase sales.

Read More »
Fine Tuning Language Models with Self-Generated Instructions

Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

Read More »
    CLIP vs CLIPPO
    Combining Vision and Language: A Look at OpenAI’s CLIP’s Potential and CLIPPO’s Quantum Leap for Multimodal Learning

    OpenAI’s CLIP is a breakthrough in the computer vision. While OpenAI’s DALL-E creates images from text captions for a wide range of concepts expressible in natural language and OpenAI’s CLIP efficiently learns visual concepts from natural language supervision, CLIPPO is a quantum leap for Multimodal Learning in the field of computer vision.

    Read More »
    ABC-XYZ Classification in Supply Chain Intelligence

    Poor inventory management often leads to out-of-stock situations for businesses that can be avoidable with proper tools and techniques. Product classification is a customizable and effective way to manage stocks by considering the properties of SKUs and their impact on sales…

    Read More »
    A Brief Introduction to Federated Learning

    Federated Learning is a decentralized machine learning technique that follows a collaborative approach to train models. In this method, the processing is broken down across various devices where they are trained on specific data. This modelling happens on a local device level, distributed across multiple devices.

    Read More »
    Zero-shot Question Answering: a technique to advance conversational AI

    Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

    Read More »
    How ChatGPT can boost Customer Analytics?

    As businesses strive to improve customer satisfaction and drive growth, they’re increasingly turning to customer analytics to gain a deeper understanding of their customer’s needs and preferences. Customer analytics can help businesses understand their customers better, improve customer satisfaction and loyalty, optimize marketing campaigns, and increase sales.

    Read More »
    Fine Tuning Language Models with Self-Generated Instructions

    Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

    Read More »
      CLIP vs CLIPPO
      Combining Vision and Language: A Look at OpenAI’s CLIP’s Potential and CLIPPO’s Quantum Leap for Multimodal Learning

      OpenAI’s CLIP is a breakthrough in the computer vision. While OpenAI’s DALL-E creates images from text captions for a wide range of concepts expressible in natural language and OpenAI’s CLIP efficiently learns visual concepts from natural language supervision, CLIPPO is a quantum leap for Multimodal Learning in the field of computer vision.

      Read More »
      ABC-XYZ Classification in Supply Chain Intelligence

      Poor inventory management often leads to out-of-stock situations for businesses that can be avoidable with proper tools and techniques. Product classification is a customizable and effective way to manage stocks by considering the properties of SKUs and their impact on sales…

      Read More »
      A Brief Introduction to Federated Learning

      Federated Learning is a decentralized machine learning technique that follows a collaborative approach to train models. In this method, the processing is broken down across various devices where they are trained on specific data. This modelling happens on a local device level, distributed across multiple devices.

      Read More »
      Zero-shot Question Answering: a technique to advance conversational AI

      Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

      Read More »
      How ChatGPT can boost Customer Analytics?

      As businesses strive to improve customer satisfaction and drive growth, they’re increasingly turning to customer analytics to gain a deeper understanding of their customer’s needs and preferences. Customer analytics can help businesses understand their customers better, improve customer satisfaction and loyalty, optimize marketing campaigns, and increase sales.

      Read More »
      Fine Tuning Language Models with Self-Generated Instructions

      Fine tuning language models with natural language instructions work really well but has a major flaw – they require large amounts of human instructions to train. Such datasets are limited in quantity and narrow in scope, with most containing similar instructions. Hence, SELF-INSTRUCT, a framework for improving the instruction-following capabilities…

      Read More »