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Combining Vision and Language: A Look at OpenAI’s CLIP’s Potential and CLIPPO’s Quantum Leap for Multimodal Learning
- May 25, 2023
- Posted by: sadmin
- Categories:
No CommentsOpenAI’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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A Brief Introduction to Federated Learning
- April 25, 2023
- Posted by: sadmin
- Categories:
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.
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Zero-shot Question Answering: a technique to advance conversational AI
- March 24, 2023
- Posted by: sadmin
- Categories:
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…
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Fine Tuning Language Models with Self-Generated Instructions
- March 16, 2023
- Posted by: sadmin
- Categories:
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…
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Supply Chain Intelligence
- February 24, 2023
- Posted by: sadmin
- Categories:
Supply chain pipelines utilize Time Series forecasting techniques to predict various entities like demand and inventory. However, the nature of these time series data is often nested and traditional modeling techniques often fail to capture its impact. Hierarchical Time Series Modelling is a novel technique that aids the supply chain intelligence by reducing overall bias in such cases.
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