Building with Gemini Embedding 2: Our first natively multimodal embedding model

Google for Developers · Beginner ·🧠 Large Language Models ·14h ago
Explore the new Gemini Embedding 2 model, which maps text, image, video, audio, and documents into a single, unified embedding space. Learn how embeddings are the key to unlocking efficient, accurate understanding across multimodal data for retrieval, search, classification, and other tasks. Resources: Get started with Gemini API → https://goo.gle/4eUJKgJ Get started with Gemini Enterprise Agent Platform → https://goo.gle/3OB8KPH Explore the Multimodal Search demo → https://goo.gle/3QXk49n Subscribe to Google for Developers → https://goo.gle/developers Speaker: Patrick Loeber Products Mentioned: Google AI, Gemini
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Escaping the API Trap: Deploying 2026's Top LLMs on Bare Metal 💻
Learn to deploy top LLMs on bare metal to cut costs and regain data sovereignty, escaping the limitations of token-based APIs
Dev.to AI
Explanations from Large Language Models Make Small Reasoners Better
Explanations from large language models can improve the performance of small reasoners, making them better at tasks such as decision-making and problem-solving.
Dev.to AI
I’m Building a Real “Jarvis” in Python — Here’s What’s Working (and What’s Not)
Build a conversational AI assistant like Jarvis using Python and learn from the author's experience
Dev.to · Devansh Sharma
Stop Using ChatGPT Wrong: 12 Prompt Patterns That Actually Get Better Output
Learn 12 prompt patterns to improve output from ChatGPT and similar models, enhancing your productivity and results
Medium · ChatGPT
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →