Entry Point is a modern fine-tuning platform that allows users to train large language models such as GPT-3 and Llama-2. Fine-tuning involves showing the model how to behave, effectively teaching it intuition, and extracting maximum potential from LLMs through prompt engineering retrieval-augmented generation (RAG). With higher quality fine-tuning, users can get better quality prompts with more predictable outputs. Fine-tuning also scales teams by covering edge cases and steering model behavior by adding examples to the dataset instead of making changes to single epic prompts. Entry Point makes the whole process seamless by providing an entry point for shaping output behavior with just a few dozen training examples across multiple providers through unified experience.