Empowering Innovation: Low-Code Development of Large Language Models with Vinh Lam

Join Vinh Lam for an enlightening session on low-code development techniques for Large Language Models (LLMs), designed to democratize AI development and make cutting-edge technologies accessible to a broader audience. This workshop will focus on leveraging LM Studio's platform to streamline the development process, optimize model performance, and implement LLMs in various applications.

Mar 21, 11:00 PM – Mar 22, 12:00 AM

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About this event

Empowering Innovation: Low-Code Development of Large Language Models with Vinh Lam

Session Overview:

Join Vinh Lam for an enlightening session on low-code development techniques for Large Language Models (LLMs), designed to democratize AI development and make cutting-edge technologies accessible to a broader audience. This workshop will focus on leveraging LM Studio's platform to streamline the development process, optimize model performance, and implement LLMs in various applications without the need for extensive coding expertise. Participants will gain hands-on experience in configuring and deploying LLMs, emphasizing practical skills that can be immediately applied in research or commercial projects.

Session Objectives:

Understand the fundamentals of low-code LLM development.

Explore the capabilities and features of LM Studio for LLM experimentation.

Learn best practices for configuring and optimizing LLMs for specific tasks.

Gain practical experience in deploying LLMs for real-world applications.

Who Should Attend:

This session is ideal for data scientists, business analysts, developers interested in AI, and anyone keen on exploring the potential of LLMs without deep technical expertise in coding.

Speaker

  • Vinh Lam

    Sofvie Inc

    Data Scientist

Organizers

  • Sidney Shapiro

    University of Lethbridge

    GDG Organizer

  • Alison Liu

    University of Lethbridge

    GDG Organizer

  • VINH LAM

    Sofvie Inc.

    Data Scientist

  • Emilio Espinel

    Team Member

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