Inference Engines explained in 10min..

Try Zapier: https://bit.ly/4yVvOtV Zapier helps you build custom automation and we're looking at how Zapier CLI can help me build news scanner app that keeps me up to date with AI. #ad #ZapierPartner #ai @Zapier Inference Engines explained in under 10 minutes as more capable engines continue to support growing supply of models. llama.cpp, vLLM, SGLang, TensorRT-LLM, TGI are all great examples of inference engines that we can use today, and trying to understand why we have so many can be daunting. So let's break this down into understandable progression of how we got to where we are. Follow me: X: https://x.com/calebfoundry LinkedIn: https://www.linkedin.com/in/calebeom/ TikTok: https://www.tiktok.com/@calebwritescode Chapters 00:00 Intro 00:49 PyTorch 02:31 llama.cpp 04:12 Sponsor: Zapier 05:05 vLLM 07:15 SGLang 08:22 TensorRT-LLM 09:09 Conclusion