End to End AI Project with Evals, Synthetic Data, and Fine-Tuning
In this video we walk through creating an AI project from start to finish with
Kiln. In this video we cover: Creating an eval including generating
synthetic eval data, creating LLM-as-judge evals, and validating the eval with
human ratings Finding the best way to run your task by evaluating prompt/model pairs Fine-tuning models including synthetic training data
and evaluating tunes Iterating as project evolves:
new evals and prompts Set up collaboration with git & GitHub The project we create in...
Read more at getkiln.ai