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  • React
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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL

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    How Much Does Fine‑Tuning an LLM Really Cost?

    Estimating the budget for adapting a large language model hinges on three factors: model size, training technique, and infrastructure pricing. Small models can be tuned with modest resources, while larger architectures demand a more detailed cost plan. Newline’s AI Bootcamp teaches students how to…
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    Types of AI Agents and How They Work

    Four core types of AI agents keep showing up in real projects: sequential, reactive, planning, and memory‑augmented. Newline's AI bootcamp maps each type to a project‑focused module, so you can pick the path that matches where you are right now. For routine, linear tasks like generating a static…
    Thumbnail Image of Tutorial Types of AI Agents and How They Work

    Mastering Advanced RAG for Better AI Retrieval

    Advanced RAG techniques turn prototype chatbots into production-grade retrieval systems. A basic RAG pipeline ingests documents, indexes them, retrieves top-k chunks, and generates answers. It works for low-stakes Q&A. It collapses under real-world pressure. Research shows that basic systems…
    Thumbnail Image of Tutorial Mastering Advanced RAG for Better AI Retrieval

    What Is an AI Application? Examples, Patterns, and Use Cases

    AI applications come in three broad shapes: single-call LLM solutions, workflow-based automations, and agentic systems. Each one balances cost, autonomy, and complexity in its own way. Pick the wrong one and the project stalls. In our experience, the model is rarely the culprit. Most enterprise LLM…
    Thumbnail Image of Tutorial What Is an AI Application? Examples, Patterns, and Use Cases