Interested in a hands-on learning experience for developing LLM applications?
Join our LLM Bootcamp today!

    Login
    HomeLarge Language ModelsLLM Observability and Guardrails

    LLM Observability and Guardrails

    A course by
    Data Science Dojo
    November, 2024 5 lessons English

    In this module, you will explore techniques for monitoring and managing LLMs, focusing on observability, performance metrics, and implementing guardrails for safe and ethical AI. Using the Phoenix framework in hands-on exercises, you’ll evaluate systems and gain insights. By the end, you’ll be ready to optimize LLMs for real-world applications.

    What you'll learn

    • Identify the key components and pillars of observability in LLMs to establish a foundational understanding.
    • Analyze various guardrail strategies and frameworks used to ensure the reliability and safety of LLMs in diverse applications.
    • Evaluate the effectiveness of different observability tools by comparing their features and use cases within the context of LLM deployments.
    • Use the Phoenix framework in hands-on exercises to evaluate and gain insights into LLM systems.

    Courses you might be interested in

    See more

    Python Essentials Series

    Web scrapping using python
    Rest API’s Using Python
    Learn the fundamentals of REST APIs and master techniques for making, parsing, and authenticating HTTP requests. This course covers key concepts such as rate limiting, HTTP methods, and the importance...
    • 9 Lessons
    Free
    Start Learning

    Large Language Models

    LLM Session Recordings
    LLM Bootcamp – Session Recordings
    Access the full recordings from the 5-day LLM Bootcamp to catch up on missed content or revisit critical discussions. These recordings allow you to review key concepts and techniques at...
    • 4 Lessons
    $100.00
    Start Learning

    Large Language Models

    Fine-Tuning LLMs
    Fine-Tuning Large Language Models
    In this module, you’ll delve into the core principles of Large Language Models (LLMs), with a focus on fine-tuning and transfer learning. You’ll explore methods like prompt tuning, prefix tuning,...
    • 5 Lessons
    $100.00
    Start Learning

    Large Language Models

    Evaluating the Performance of LLMs
    Evaluating Large Language Models
    In this module, you will learn how to evaluate LLMs by exploring benchmark datasets like MMLU and HELM, which evaluate LLMs across various tasks. You will then explore how to...
    • 5 Lessons
    $100.00
    Start Learning