Scaling DevOps with Machine Intelligence

Retrieval-Augmented Generation (RAG) and fine-tuning are two sophisticated approaches that significantly enhance the capabilities of language models. Both strategies have distinct methodologies and applications, yet they share a common goal: improving the model‘s performance by leveraging data in innovative ways.

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Table of Contents

    • Generative AI and Observability in the Serverless World
    • Transformer and Generative AI Concepts
    • Going Beyond RAG and Fine-Tuning
    • MLOps: Bridging the Gap Between ML and DevOps
    • Machine Learning: A Game Changer in IT
    • Conclusion

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