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Workshop:
Effective Implementation of Private LLMs in Your Organization

Leave this workshop with practical knowledge to implement a private LLM at your organization, including justifying investment costs and ROI to stakeholders, evaluating infrastructure readiness and integration with current systems.

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Effective Implementation of Private LLMs in Your Organization

Join us for a comprehensive 3-hour webinar on "Effective Implementation of Private LLMs in Your Organization," designed for professionals eager to leverage the power of private large language models (LLMs). This workshop will provide an in-depth exploration of private LLMs, highlighting their benefits over public models, particularly in terms of data privacy and customization. Throughout the session, participants will learn how to strategically plan and execute LLM implementation tailored to their organization's unique needs. We will cover essential topics, including infrastructure readiness, integration with existing systems, and staff training. Additionally, attendees will gain insights into monitoring progress, managing costs, and justifying the investment to stakeholders. The workshop will also address ethical considerations and compliance requirements, ensuring a responsible approach to AI deployment. By the end of this engaging session, participants will be equipped with actionable strategies and best practices to successfully implement private LLMs, driving innovation and efficiency within their organizations.     Meet your instructor for this class.

After this workshop, you will be ready to:

 

  • Gain a comprehensive understanding of private LLMs and their advantages over public models, including enhanced data privacy and customization.

  • Develop a strategic roadmap for implementing LLMs tailored to your organization's specific needs and objectives.

  • Assess your current IT infrastructure and identify necessary upgrades or customizations for successful LLM deployment.

  • Learn effective staff training and development strategies to prepare their teams for LLM integration.

  • Understand best practices for integrating LLMs with existing systems to minimize disruptions and ensure compatibility.

  • Explore detailed execution plans for LLM implementation, including pilot testing and full-scale deployment strategies.

  • Monitor LLM performance and make data-driven adjustments to optimize implementation outcomes.

  • Analyze cost management strategies and calculate the return on investment (ROI) for LLM projects.

  • Communicate the value proposition of LLMs to stakeholders effectively, addressing potential concerns and securing buy-in.

  • Recognize ethical considerations and compliance requirements associated with LLM use, ensuring responsible implementation.

Workshop Outline: Effective Implementation of Private LLMs in Your Organization

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Part 1: Overview of Private LLMs and Strategic Planning (60 minutes)

  • Introduction to Private LLMs (15 minutes)

    • Definition and benefits of using private LLMs over public models.

    • Relevance in maintaining data privacy and achieving customized solutions.

  • Strategic Planning for LLM Implementation (45 minutes)

    • Developing a project roadmap tailored to company-specific needs.

    • Setting clear project expectations and milestones.

    • Aligning LLM implementation with business objectives and technological capabilities.


Part 2: Implementation Readiness and Integration (60 minutes)

  • Preparation for Implementation (30 minutes)

    • Infrastructure requirements and assessing current IT capabilities.

    • Identifying necessary customizations to meet specific operational goals.

    • Staff training and development plans to ensure readiness.

  • Integration with Existing Systems (30 minutes)

    • Step-by-step guide on integrating LLMs with existing IT frameworks.

    • Handling compatibility and scalability issues.

    • Best practices for a smooth transition and minimizing operational disruptions.


Part 3: Execution, Monitoring, and Justifying the Investment (60 minutes)

  • Executing the Implementation Plan (30 minutes)

    • Detailed steps from pilot testing to full-scale deployment.

    • Monitoring progress and adjusting strategies as needed.

    • Case Study: Successful implementation and the practical challenges overcome.

  • Cost Management and ROI (30 minutes)

    • Detailed breakdown of costs vs. anticipated savings and efficiencies.

    • Communicating the value proposition to stakeholders.

    • Strategies to address potential concerns and secure buy-in.


Part 4: Ethical Considerations and Wrap-Up (30 minutes)

  • Ethical and Compliance Overview (15 minutes)

    • Quick overview of ethical considerations and minimal compliance requirements.

    • Importance of maintaining ethical AI use and adhering to basic legal standards.

  • Final Q&A and Conclusion (15 minutes)

    • Address final participant questions.

    • Summarize key takeaways and next steps for implementing private LLMs in their organizations

All open-enrollment workshops are 6 hours, $299. You will leave with work products, canvases, and implementation templates.

Bring this workshop to your team.

Fill out the form, and we'll get in touch with options for teaching a private session of this class to your team.

We'll be in touch!

Download our research report "Design Thinking in Software & AI Development"

Design Thinking outline

This workshop is designed for:

  • Chief Technology Officers (CTOs) of medium to large enterprises

  • Chief Information Officers (CIOs) seeking to modernize their organization's AI capabilities

  • IT Directors responsible for implementing new technologies

  • Data Privacy Officers concerned with maintaining data security

  • AI/ML Project Managers looking to lead LLM implementation initiatives

  • Senior Software Engineers interested in integrating LLMs into existing systems

  • Data Scientists working on natural language processing projects

  • Innovation Directors seeking cutting-edge AI solutions for their companies

  • Compliance Officers ensuring ethical AI use and adherence to regulations

  • Business Intelligence Managers aiming to enhance data analysis capabilities

  • Research and Development (R&D) Directors in technology-focused companies

  • Product Managers planning to incorporate AI features into their offerings

  • Digital Transformation Leaders guiding organizations through AI adoption

  • Enterprise Architects designing future-proof IT infrastructures

  • Information Security Managers concerned with protecting sensitive data

  • Operations Managers looking to improve efficiency through AI

  • Human Resources Directors planning for workforce changes due to AI integration

  • Legal Counsels specializing in technology and data protection laws

  • Chief Financial Officers (CFOs) evaluating the cost-benefit of LLM implementation

  • Startup Founders considering private LLMs for their growing businesses

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