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As John Mosquera, can you provide more detail on your successful project that used the Azure OpenAI Service to develop chatbots, particularly focusing on how you leveraged LLM and NLP techniques?
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One the major things, was that the chatbots had to be accurate and also be able to work well to be used. If the chatbot doesn't work as expected, it could cause the business and clients reputational damage. I always try to be very careful, and always iterate on my approach.The challenge, was making the solution to make chatbots, but had to find ways to extract more data using that system. I wanted a new innovative way that could benefit them, using the various technologies that are available.With all of the things that I was trying to implement and do, I wanted to constantly get feedback from the clients and my colleagues, to ensure that what I was doing was heading in the right direction. It is extremely useful, as it shows areas that I did not think of.One of the main things, was creating good prompts. If the prompt engineering isn't great, then everything else will fall apart and it won't work properly and so it is better to get that perfect right at the start. I would spend most of the time optimising this to make the overall system work, so I did that, and the business and clients were very happy with the outcome.The great thing about Azure OpenAI, is its tight integration with Azure. That said, you also need to constantly follow security standards to ensure that it is all correct. There's a wide range of things to do and try, and that's why I love working with it. LLMs require lots of work but the output is also extremely useful. As John Mosquera at MMT Digital, my successful project using Azure OpenAI Service to develop chatbots leveraged LLM and NLP techniques by focusing on accurate chatbot development, prompt engineering optimisation for precise extraction, and robust feedback integration with Azure security for a seamless outcome.