Build your own LLM on Google Cloud
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24 дня – 1 45811:45Опубликовано 8 мая 2024, 13:00
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:
GitHub → goo.gle/4btqsKt
Watch more Cloud Next 2024 → goo.gle/Next-24
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleCloudNext #GoogleGemini
Event: Google Cloud Next 2024
Speaker: Ali Zaidi
Products Mentioned: Google Kubernetes Engine, Cloud Run, Gemma
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:
GitHub → goo.gle/4btqsKt
Watch more Cloud Next 2024 → goo.gle/Next-24
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleCloudNext #GoogleGemini
Event: Google Cloud Next 2024
Speaker: Ali Zaidi
Products Mentioned: Google Kubernetes Engine, Cloud Run, Gemma
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