A checklist for switching to open source ML models

This post provides a checklist for migrating from closed-source to open-source ML models. It outlines steps for selecting open-source models (LLMs, text embedding, speech-to-text, text-to-speech), choosing appropriate GPUs for inference, finding relevant optimizations (TensorRT-LLM, BEI, Whisper optimization), deploying models using the Baseten model library or Truss, and integrating the deployed model endpoints. It references existing Baseten blog posts and documentation for deeper dives into specific areas like GPU guides, optimization techniques, and model endpoint integration.