Blog
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Fine Tuning Language Models with Self-Generated Instructions
- March 16, 2023
- Posted by: sadmin
- Categories:
No CommentsFine 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
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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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What is Zero-shot learning?
- January 25, 2023
- Posted by: sadmin
- Categories:
Zero-shot is a transfer learning paradigm to address the problem where training data is not available for some classes.
Zero-shot learning aims to train a model that can classify text/objects of unseen classes (classes unavailable during training) via transferring knowledge obtained from other seen classes during training with the help of visual and semantic information. -
Why Does Measuring CX the Right Way Matter?
- November 7, 2022
- Posted by: sadmin
- Categories:
NPS, CLV, CLI, CSAT, and CES and it goes on and on. The majority of us have tried everything, and frequently with such zeal that we tend to group CX professionals into one of two camps. We have to admit that we have at least briefly been a part of each of these camps. Unfortunately, while each of these indicators has a place, if we are genuinely seeking to utilise analytics to run the business and effect change, we are missing the mark.
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Advanced Customer Analytics in Customer Acquisition and Retention
- October 31, 2022
- Posted by: sadmin
- Categories:
COVID-19 has influenced a variety of lifestyle modifications, including changes in consumer purchasing behaviour. Customers now engage with brands on their terms and demand a personalised and meaningful experience, as opposed to feeling “forced” to shop online. The Indian e-commerce market, which had 150 million online shoppers as of FY21 and was the third-largest market overall, is predicted to reach US$ 200 billion by 2026.