@GoogleDevelopers
  @GoogleDevelopers
Google for Developers | An LLM journey speed run: Going from Hugging Face to Vertex AI @GoogleDevelopers | Uploaded May 2024 | Updated October 2024, 1 week ago.
Discover how to augment a Vertex Gemini based gen AI application with predictive open source models. We will share how to deploy Google's open source TimesFM forecasting foundation model from Hugging Face via the Vertex Model Garden, then integrate it with a generative AI solution, such as our Retail Product Catalog agent, via Vertex Gemini's function calling capabilities.

Speakers: Skander Hannachi, Rajesh Thallam

Resources:
Try Gemini in Vertex AI → https://goo.gle/3Vttolh

Watch more:
Check out all the AI videos at Google I/O 2024 → https://goo.gle/io24-ai-yt
Check out all the Cloud videos at Google I/O 2024 → https://goo.gle/io24-cloud-yt

Subscribe to Google Developers → https://goo.gle/developers

#GoogleIO

Event: Google I/O 2024
Products Mentioned: Gemini, Vertex AI, Hugging Face Models
An LLM journey speed run: Going from Hugging Face to Vertex AICan you complete this AI crossword puzzle? Find out!Code like a minimalist—no need for complex tricks. Keep it clean, readable, and classy. ✨Enabling all developers to build for the home with the Home APIsThe latest news for the Gemma open models family at Google Cloud Next ‘24POV: You just wanted to be an SWE.Visualize Models with Model ExplorerFine-tune language models with surprisingly little data!NEW Client Libraries for Google Wallet? Yes, we have them.Multimodal Retrieval-Augmented Generation (RAG) at Google I/O 2024Test your Google Pay integration with these 3 stepsGemini API has a Dart SDK?!

An LLM journey speed run: Going from Hugging Face to Vertex AI @GoogleDevelopers

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER