Build your own LLM on Google Cloud

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Custom large language models (LLMs) can be fine-tuned and deployed using Google Kubernetes Engine (GKE) and Cloud Run. Watch along as Ali Zaidi, Solutions Architect Google Cloud, demonstrates the architecture of a custom LLM on Google Cloud as well as how to get started today. Check out the GitHub code repository below to get started.

Chapters:
0:00 - Meet Ali
0:31 - Demo architecture
1:29 - How to fine-tune LLMs
2:07 - How to deploy LLMs on GKE & Cloud Run
2:51 - Chatting with the LLMs
4:14 - Wrap up

Resources:

#GoogleCloudNext #GoogleGemini

Event: Google Cloud Next 2024
Speaker: Ali Zaidi
Products Mentioned: Google Kubernetes Engine, Cloud Run, Gemma
  1. Google Cloud Tech
  2. pr_pr: Google Cloud Next
  3. campaign:
  4. ct:
  5. type: Next Post- Produced Videos
  6. gds: Yes
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Комментарии
Автор

Can someone without any experience execute an LLM?

thetroytroycan
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Can anyone explain how to run this project step by step its an emergency.

smilingstars
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update Google account all details vivo y31

sithirasarava
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Why would I not just deploy an open source quantized model using WebUI and then use MagickML (which you sponsor, poorly) to add recursive self awareness to a model cobbled together from garbage that runs better than anything your corp has ever made?

Atmatan