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Insights
Data Science
A Brief Overview of Hallucination in LLM
Large Language Models (LLMs) have shown the impressive capability to understand human language and effectively tackling a wide range of natural language tasks, from text classification to summarization and even answering questions. However, LLMs are observed to have the issue with hallucination, where generating incorrect information or making up the answer which is sometimes difficult for human to notice this behavior.
Author :
Nut Chukamphaeng
Posted on :
October 31, 2023
Data Science
Data quality is all you need
As the higher volume of data available for training machine learning or deep learning models, the potential for these algorithms to achieve remarkable performance tends to increase significantly. The abundant data resources enable models to extract intricate patterns, enhance their predictive capabilities, and adapt to diverse real-world scenarios.
Author :
Pakhapoom Sarapat
Posted on :
September 29, 2023
Data Science
Probability calibration: A tool to mitigate the risk of your Machine learning model.
The banking industry has been applying machine learning to enhance loan approval process, default risk assessments, and fraud detection, for example. Making accurate decisions in these areas is important for effective risk management and cost control, which can translate to significant value.
Author :
Nut Chukamphaeng
Posted on :
April 28, 2023
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