4 ms·
Gemini Embedding 2: natively multimodal embedding model
- jerrygoyal 7mo agowhat's the pricing and how does it compare to zembed-1 for text only embeddings?
- jiggawatts 7mo agoPricing is here: https://cloud.google.com/vertex-ai/generative-ai/pricing#embedding-models https://cloud.google.com/vertex-ai/generative-ai/pricing#emb... Seems to be 20 cents per million tokens of text and 0.012 cents per image.
- jeanloolz 7mo agoThis is colossal. It can creates embeddings on pretty much any type of format, video, audio, documents. The context is still a bit small compared to what we are used to in text, but this seems major
- Grimblewald 7mo agoHow does it compare with qwens open weight multimodal embedding model? Anyone know? This seems lesser form what i read, with the drawback of bei g via some api/model i dont have control over. Qwen gives great ebeddings out of the gate while also being steerable, i.e. you can supply a prompt to focus on embedding specific tasks with higher resolution, which in my tests has been mind-blowingly good. Not seeing the value add here.
- zhangchen 7mo ago[flagged]
- Grimblewald 7mo agoDoes well in my tests, limited as they were, but it did well in zero-shot tasks in niche domains historically (and possibly still here) underrepresented in training data (microscopy)