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    Large Language Models

    LLM Final Project
    Final Project: Build A Multi-Agent LLM Application
    In this module, you’ll create a functional LLM application by choosing one of three exciting projects. You can build a Basic Chatbot that answers general queries, develop a Chatbot Agent...
    • 10 Lessons
    $100.00
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    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
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    Large Language Models

    Fine-Tuning LLMs
    Fine-Tuning Large Language Models
    In this module, you’ll learn about 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,...
    • 11 Lessons
    $100.00
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    Large Language Models

    Observability and Guardrails
    LLM Observability and Guardrails
    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...
    • 6 Lessons
    $100.00
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    Python Essentials Series

    Data visualization using python (1)
    Data Visualization Using Python
    Data visualization is the graphical representation of data and information. It is the process of creating visual displays of data and information, often in the form of charts, graphs, maps,...
    • 22 Lessons
    Free
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    Python Essentials Series

    feature engineering using python
    Feature Engineering Using Python
    Data enrichment is the process of enhancing, refining, and improving raw data by adding more information to it from external sources. This can include adding additional fields, filling in missing...
    • 15 Lessons
    Free
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    Python Essentials Series

    Data cleaning using python
    Data Cleaning Using Python
    Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for...
    • 15 Lessons
    Free
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    Python Essentials Series

    Data Validation using Python
    Data Validation Using Python
    Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves verifying that data meets certain criteria, such as data type, value range, and formatting...
    • 26 Lessons
    Free
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