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Hi, I find your work and technical readmap truly impressive. I have a question: since the florence-2 uses encoder-decoder architecture for language model, how does the multi-round conversation in the demo video implement? Is the incontext conversations history included in the encoder input?
By the way, can you review the model request of me? Thanks a lot!
The text was updated successfully, but these errors were encountered:
Hi, I find your work and technical readmap truly impressive. I have a question: since the florence-2 uses encoder-decoder architecture for language model, how does the multi-round conversation in the demo video implement? Is the incontext conversations history included in the encoder input?
By the way, can you review the model request of me? Thanks a lot!
Dr. li ,
Thank you for your interest. The multi-turn conversation shown in the demo video is implemented within the demonstration system. Specifically, each interaction is processed as an independent single-turn dialogue, meaning that previous conversation history is not used as contextual input for the encoder.
Additionally, your request for model weights has been approved.
Hi, thanks for your response and review.
I think i misunderstand between the multi-round and multi-instruction.
By the way, thanks for thre approvement of TianHuiLab/Falcon-Multi-Instruction-Large, I'm also insterested in the other two model, which have not been approved.
Hi, I find your work and technical readmap truly impressive. I have a question: since the florence-2 uses encoder-decoder architecture for language model, how does the multi-round conversation in the demo video implement? Is the incontext conversations history included in the encoder input?
By the way, can you review the model request of me? Thanks a lot!
The text was updated successfully, but these errors were encountered: