Geração aumentada por recuperação (RAG, na sigla em inglês) multimodal usando a API Gemini na Vertex AI avaliações
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Jason B. · Revisado há about 1 year
Naveen N. · Revisado há about 1 year
MARCO ANTONIO G. · Revisado há about 1 year
Joeliton V. · Revisado há about 1 year
`Unfortunately, I cannot process or "see" images, including your provided Image objects for "Image_1" and "Image_2." This limitation prevents me from directly answering your questions, as they heavily rely on visual analysis of the graphs and table you've described. However, based on the text descriptions provided by Gemini, I can offer some insights and guidance:...`
Norm R. · Revisado há about 1 year
Letícia d. · Revisado há about 1 year
Dontha A. · Revisado há about 1 year
Anderson Z. · Revisado há about 1 year
José Marcio de Castro B. · Revisado há about 1 year
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Navin S. · Revisado há about 1 year
Navin S. · Revisado há about 1 year
Vasundhara S. · Revisado há about 1 year
Alberto A. · Revisado há about 1 year
Good
Coin O. · Revisado há about 1 year
Eduardo G. · Revisado há about 1 year
Akkamgari S. · Revisado há about 1 year
Chethan N. · Revisado há about 1 year
While passing image data to gemini 1.5 pro model as stated in the notebook, it says "Unfortunately, I cannot process or "see" images and am unable to provide the analysis requested. I can only process the textual information provided. ". And proceeds to provide answers based on image descriptions only, or suggesting how to get answers. This somewhat contradicts the multimodal capability lab is trying to show. It looks like there is some issue with notebook code, which is converting images to string (just an object repr in python) before sending it to Gemini. So it just sends text instead of actual images.
Nij R. · Revisado há about 1 year
Pedro Henrique M. · Revisado há about 1 year
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