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This is a podcast made by AI about. These episodes talk about anything that tech related in nice funny and simple way.

  1. 9 MAY

    Building Private AI Models with Open Source LLMs

    What You'll Learn Why organizations are increasingly adopting private AI models.How open-source LLMs enable customization, transparency, and cost savings.The technical steps to fine-tune and deploy your own private LLM.How to optimize models through quantization and distillation.Key security and compliance considerations for private AI infrastructure.

    5 min

  2. 7 MAY

    iOS 27 Extensions_ Pick Gemini, Claude, or ChatGPT

    What you'll learn What "Extensions" actually is and how it differs from a model swapWhy this is a much bigger architectural shift than the existing ChatGPT integrationHow the user experience changes for Siri, Writing Tools, and Image PlaygroundHow this is different from Apple's behind-the-scenes Gemini-powered Siri rebuildWhat questions remain unanswered until WWDC 2026

    4 min

  3. 4 MAY

    Mastering Edge Function Development

    What You'll Learn The fundamentals of edge functions and how they differ from conventional serverless models.How to develop, test, and deploy edge functions using modern frameworks.Real-world use cases and performance implications.Security and scalability considerations for production-ready edge workloads.Common pitfalls, debugging strategies, and monitoring techniques.

    5 min

  4. 4 MAY

    Prompt Engineering Mastery

    What You’ll Learn The core principles of prompt engineering and why it matters.How to design, test, and optimize prompts for reliability and accuracy.When to use prompt engineering vs. fine-tuning.Real-world examples of prompt-driven systems in production.Security and scalability considerations for enterprise-grade AI applications.

    5 min

  5. 4 MAY

    Building Robust Data Pipelines

    What You'll Learn The core concepts and components of a modern data pipeline.How to design, build, and deploy a robust pipeline using Python.When to use batch vs streaming approaches.How to handle data quality, monitoring, and error recovery.Common pitfalls and how to avoid them.Real-world lessons from large-scale data systems.

    5 min

  6. 1 ABR

    Integrating Cryptocurrency Platforms

    What You'll Learn The architecture of cryptocurrency platform integrations.How to choose between different integration models.How to use APIs from major crypto platforms (e.g., Coinbase, Binance, Kraken).Security, scalability, and monitoring best practices.How to build, test, and deploy crypto-enabled functionality safely.

    5 min

  7. 1 ABR

    Mastering Event Streaming Architecture

    What You’ll Learn The core principles and architecture of event streaming systems.How event streaming differs from traditional message queues.When to use (and when not to use) event streaming.How to design, build, and scale a streaming data pipeline.Common pitfalls, performance tuning, and security considerations.Real-world examples from major tech companies.

    5 min

  8. 1 ABR

    Edge Deployment in the Cloud

    What You'll Learn What edge deployment means in a cloud-native context.How to architect, deploy, and monitor applications across distributed edge nodes.The trade-offs between cloud and edge computing.How to build a rapid development pipeline for edge applications.Common pitfalls and how to avoid them.

    5 min
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This is a podcast made by AI about. These episodes talk about anything that tech related in nice funny and simple way.

Información

  • Creador
    Nerd Level Tech
  • Años de actividad
    2025 - 2026
  • Episodios
    121
  • Clasificación
    Apto
  • Copyright
    © Nerd Level Tech
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