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Generative AI

Chat GPT and Bing AI chatbots to be used as panellists in world-first at fintech conference

ChatGTP and Bing AI to be panelists at FinTech conference Chatbots greatly vary in their complexity, from executing basic rules taken from a decision-tree to being powered by machine learning that is constantly adopting new features and insights. AML regulations require financial institutions to monitor transactions for potential money laundering activities. AI algorithms can analyse […]

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Educational Chatbot for Engaging Blended Learning

Chatbot use cases: 25 real-life examples Dr Asquer summarised by noting that there is a limited role for transactional chatbots,but they are still useful. He noted that there is a lot of investment required, especially for conversational chatbots to determine potential student questions. One suggestion moving forward is to engage students in the design and

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Chatbot Data: Picking the Right Sources to Train Your Chatbot

This article will present key ideas about creating and coding a question answering system based on a neural network. The implementation uses Google’s language model known as pre-trained BERT. Hands-on proven PyTorch code for question answering with BERT fine-tuned and SQuAD is provided at the end of the article. Keras provides the Tokenizer class for

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Natural Language Processing in Finance: Shakespeare Without the Monkeys Man Institute Man Group

NLP: why this therapy has failed to join the mainstream Jun University of Derby Using natural language processing, computer programs can translate text, respond to spoken instructions and summarise large data volumes. The second block is the use of artificial intelligence to solve business problems. Based on this discussion, it may be apparent that DL

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Top 16 Use Cases for Generative AI in FinTech: Examples and Benefits

Top 100+ Generative AI Applications Use Cases in 2023 A Transformer-based model is a type of neural network used for various natural language processing tasks such as machine translation, text summarization, and language understanding. The video creation feature is particularly useful to advertising, entertainment, and education businesses. Marketers can also use tools based on AI

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AI Image Recognition: Common Methods and Real-World Applications

While you build a deep learning model from scratch, it may be best to start with a pre-trained model for your application. As the data is approximated layer by layer, NNs begin to recognize patterns and thus recognize objects in images. The model then iterates the information multiple times and automatically learns the most important

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