About this Company Planning Timeline template
This timeline template is designed specifically for businesses launching LLM-based projects. It breaks down the development lifecycle into clear monthly stages. Use this to visualize your progress, from identifying core problems to testing your final AI model in real-world scenarios.
Initiation and Research Phase
This initial stage focuses on defining the project scope and technical requirements. Teams identify specific problems that an LLM can solve while researching available models to ensure the chosen technology aligns with organizational goals and budget.
- Problem Identification
- Requirements Gathering
- Research about which LLMS to use
Prototyping and Experimentation
Moving into the development phase, the team builds a preliminary version of the solution. This stage is critical for testing hypotheses and performing rigorous experimentation to see how different LLM architectures handle specific data sets and prompts.
- Create a Prototype
- Performing Experimentation
Model Evaluation and Development
During these months, the focus shifts to selecting the most effective model for designated tasks. Developers work on fine-tuning and building the specific model architecture, ensuring that the selected AI technology performs optimally for the intended business use.
- Evaluating which Model to use for which Task
- Developing our Model with specified Models
Real-World Testing and Conclusion
The final stretch involves deploying the LLM in a live environment to check its accuracy and reliability. After gathering real-life performance data, the team draws final conclusions and plans for future updates and scaling of the project.
- Testing and checking in Real Life
- Conclusions and Future works
(AI & Web)