using generative AI for qualify lead

Pom Veerawat 20 Reputation points
2023-08-14T14:13:40.21+00:00

Any idea how can I start learning this?

Azure OpenAI Service
Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
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  1. YutongTie-MSFT 53,966 Reputation points Moderator
    2023-08-14T23:29:08.08+00:00

    Hello @Pom Veerawat

    Thanks for reaching out to us, if you are mentioning Azure AI only, I will highly recommend you follow the learning path of Azure AI Fundamentals, it contains basic knowledge and practice experience.

    https://learn.microsoft.com/en-us/certifications/azure-ai-fundamentals/?tab=tab-learning-paths

    If you are mentioning from general perspective -

    1. Learn the basics of machine learning and natural language processing (NLP). Generative AI is a type of machine learning that involves training models to generate new data based on patterns in existing data. NLP is a subfield of machine learning that focuses on processing and analyzing human language. There are many online courses and tutorials available that can help you learn the basics of machine learning and NLP.

    Familiarize yourself with the different types of generative AI models. There are several types of generative AI models, including language models, image models, and music models. Each type of model has its own unique characteristics and use cases. You can start by learning about language models, which are particularly relevant for lead qualification.

    Choose a programming language and framework. There are many programming languages and frameworks that can be used for generative AI, including Python, TensorFlow, and PyTorch. Python is a popular choice for machine learning and NLP, and TensorFlow and PyTorch are popular frameworks for building generative AI models.

    Start building your own generative AI models. Once you have a basic understanding of machine learning, NLP, and generative AI, you can start building your own models. There are many tutorials and code examples available online that can help you get started.

    Practice and experiment. Generative AI is a complex field, and it takes time and practice to become proficient. Try experimenting with different models and techniques, and don't be afraid to make mistakes. The more you practice, the better you will become.

    Learning generative AI for lead qualification requires a combination of theoretical knowledge and practical experience. By following these steps and continuing to learn and experiment, you can develop the skills you need to build effective generative AI models for lead qualification.

    I hope this helps.

    Regards,

    Yutong

    -Please kindly accept the answer and vote 'Yes' if you feel helpful to support the community, thanks a lot.

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