Setting up a AI large language model prototype

Planning and Preparation

  • Clearly define the specific problem or task that the AI model prototype will address.
  • Identify the goals and expected outcomes of the prototype.
  • Specify the boundaries and extent of the prototype's functionality.
  • Determine any specific features or functionalities that will be excluded from the prototype.
  • Identify the specific users or groups who will interact with the model.
  • Determine the specific scenarios or situations in which the model will be used.
  • Identify the hardware requirements for running the prototype effectively.
  • Determine the software and development tools needed to build and deploy the prototype.
  • Allocate personnel with the required skills and expertise to work on the prototype.
  • Evaluate the technical feasibility of developing the AI model prototype.
  • Assess the economic and financial feasibility of the prototype.
  • Consider any legal, ethical, or regulatory factors that may impact the viability of the prototype.

Data Collection and Preparation

Model Selection and Configuration

Training and Fine-tuning

Testing and Evaluation

Deployment and Integration

Documentation and Knowledge Transfer

Monitoring and Maintenance

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