📄️ How to initialize a llmp job
When dealing with large language models in programming projects it is common challenge to get reliable outputs from the model. By carefully crafting prompts for different tasks, generating and selecting few shots examples and tuning the temperature and top_k parameters, it is possible to get good results. However, this process is time-consuming and requires a lot of manual work. While developing a project it is a hurdle that forces you to leave the flowstate and contradicts the idea of fast iteration.