UNDERSTAND  IN  DEPTH

PROCESS TO BEGIN EXPERIMENTING NLP AI

  1. Choose which Task Type you want to perform
    • Fill-mask
    • Question Answering
    • Sentence Similarity
    • Summarization
    • Text Classification
    • Text Generation
    • Token Classification
    • Translation
    • Zero-Shot Classification
  2. Create prototype and proof of concept on Google Colab or other lost cost AI platform
  3. Decide how to want to deploy your AI service
    • An app on your computer
    • A remote service on the Internet
    • A phone or mobile device
    • Embedded in a single board computer
  4. Decide on the desired response time needed to balance cost/effort needed
    • Pay more for hardware and cloud services
    • Focus on options and resources for model optimization
    • Run benchmarks and compare to baseline to see if the cost vs response time balance is optimal

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PROCESS TO IMPLEMENT AI MODEL AT LOW COST

  1. Model size and baseline response time
  2. Money for a GPU or specialized Cloud Service?
  3. Want a dedicated server or latent remote service that’s always there when you need it?
  4. Investigate benchmarks and baseline for typical responses on various hardware/software/optimization combinations?
Understand In Depth Optimize Effectively Deploy AI Models Build Applications
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