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    Large Language Models

    Final Project_ Build A Multi-Agent LLM Application
    Final Project: Build A Multi-Agent LLM Application
    Build and deploy a functional LLM application with CI/CD pipelines on a cloud platform.
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    Evaluating Large Language Models
    Evaluating Large Language Models
    Evaluate LLMs using benchmark datasets and metrics like BLEU, ROUGE, and RAGAs.
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    Fine-Tuning Large Language Models
    Fine-Tuning Large Language Models
    Learn fine-tuning, transfer learning, and model optimization with Llama2 for real-world applications.
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    Large Language Models

    LLM Observability and Guardrails
    LLM Observability and Guardrails
    Monitor and manage LLMs, focusing on performance metrics, guardrails, and real-world optimization.
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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,...
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    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...
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    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...
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    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...
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