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    Generative AI: Technical Limitations and Practical Applications

    Duration: 60 minutes Hosts: Krystian Jabłoński, AI Advisor/Lead Consultant, DS & AI Practice Team
    Norbert Fijałek, AI Engineering Associate Manager, DS & AI Competency Center     This session is offered as a scheduled group session with our expert.
    Ask for available time slots
    Generative AI - introduction into LLMs and GPT models with Azure OpenAI services_ discussing opportunities and limitations (AI _ ML)-1
    Generative AI - introduction into LLMs and GPT models with Azure OpenAI services_ discussing opportunities and limitations (AI _ ML)-2

    What to expect

    If you want to build a better chatbot, develop more innovative products, or make creative content faster, you’ll want to learn more about generative AI. It has many use cases, like copywriting, image and video generation, and summary and insight generation — all of which can help enterprises fulfill business goals. During this session our experts will show you how the combination of large language models like GPT and Azure OpenAI services can be applied to the latest business use cases involving data and analytics.

    Early AI to GPT

    Large Language Models (LLMs)

    Azure OpenAI

    Latest Use Cases

    Take a crash course in IT history to see how GPTs revolutionized AI and machine learning.

    Learn how you can use the reasoning and comprehension capabilities of the latest LLMs to power your business apps.

    Discover how you can apply this service to your data and analytics use cases.

    See the latest practical applications of generative AI to fire up your imagination.

    Early AI to GPT

    Large Language Models (LLMs)

    Take a crash course in IT history to see how GPTs revolutionized AI and machine learning.

    Learn how you can use the reasoning and comprehension capabilities of the latest LLMs to power your business apps.

    Azure OpenAI

    Latest Use Cases

    Discover how you can apply this service to your data and analytics use cases.

    See the latest practical applications of generative AI to fire up your imagination.

    Early AI to GPT

    Take a crash course in IT history to see how GPTs revolutionized AI and machine learning.

    Large Language Models (LLMs)

    Learn how you can use the reasoning and comprehension capabilities of the latest LLMs to power your business apps.

    Azure OpenAI

    Discover how you can apply this service to your data and analytics use cases.

    Latest Use Cases

    See the latest practical applications of generative AI to fire up your imagination.

    Krystian Jabłoński

    About Our Speaker

    Krystian Jabłoński gained his experience in data and analytics by fulfilling projects for Global Fortune 500 companies. He has more than 10 years of IT experience that involves both the business and technical sides of projects. As the AI advisory lead consultant in Lingaro’s Innovative Services, he is responsible for the development of AI and machine learning capabilities within Lingaro and shaping the forefront of generative AI for our customers. Krystian lives and breathes data and analytics. With his can-do attitude, he is passionate about working together with customers to discover solutions for various problems – the higher the stakes, the better.

    Krystian Jabłoński
    norbert fijalek

    About Our Speaker

    Norbert Fijałek is passionate about AI and machine learning operations. He has spent more than 10 years exploring and implementing new technologies, designing and developing innovative products, and leading teams to deliver successful AI and product management solutions across multiple industries. Norbert enjoys sharing his knowledge with others and has been a featured speaker at various conferences on AI and related topics. He also participates in successful accelerators and competitions.

    norbert fijalek

    Ask for available time slots

    Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.
     

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