Author: techling

Developing a Chatbot with Reinforcement Learning

/*! elementor – v3.21.0 – 26-05-2024 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-titleclass*=elementor-size->a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px} Developing a Chatbot with Reinforcement Learning Have you ever wondered how chatbots are able to provide accurate and helpful responses to your queries? I have shared my personal experience of developing a chatbot using Reinforcement Learning (RL). Through defining the core components to deploying the final …

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Neural Network

Neural networks are fundamental to deep learning, a subset of machine learning inspired by the human brain’s structure.  Generally, you touch a hot surface. Your skin (data) sends signals to your brain, which processes this through neurons (data processing cells), making you pull your hand away quickly. Similarly, Neural Networks work.  Their ability to learn from data, recognize patterns, and …

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Ethical Implications and Mitigation Strategies in AI and NLP

As artificial intelligence (AI) and natural language processing (NLP) technologies continue to evolve, their integration into various applications brings both opportunities and ethical challenges. Considering these ethical considerations is essential to ensure that AI and NLP systems are developed and deployed responsibly. Key ethical concerns include bias, privacy, and fairness. /*! elementor – v3.21.0 – 26-05-2024 */ .elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-titleclass*=elementor-size->a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading …

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Integrating Multimodal Data for Enhanced NLP Performance

In the domain of Natural Language Processing (NLP), the integration of multimodal data including text, image, and audio has emerged as a pivotal strategy for enhancing model performance. Traditional NLP’s Limitations Traditional NLP models primarily focused on text data often fall short in capturing the variations of human communication. A recent study revealed that text-based sentiment analysis tools can miss …

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