Run it on your phone π²
So essentially,
MiniCPM-V has GPT-4V performance on your phone!
Paper:
MiniCPM-V: A GPT-4V Level MLLM on Your Phone (26 Pages)
Github:
https://github.com/OpenBMB/MiniCPM-V
Researchers from OpenBMB are introducing a series of multimodal large language models (MLLMs) designed to run efficiently on devices like smartphones and personal computers. The authors highlight a trend akin to Moore's Law, suggesting that the size of MLLMs achieving GPT-4V level performance is decreasing rapidly, while the computational capacity of end-side devices is steadily increasing.
Hmm..Whatβs the background?
The researchers highlight the challenges of deploying traditional MLLMs in real-world applications due to their massive size and computational demands, which often necessitate high-performing cloud servers. MiniCPM-V is introduced a representative example of this trend toward efficient end-side MLLMs, highlighting its balance between performance and efficiency.
Ok, So what is proposed in the research paper?
The sources detail the evolution of MiniCPM-V, with the latest iteration, MiniCPM-Llama3-V 2.5, demonstrating strong performance comparable to larger models like GPT-4V and Gemini Pro, while having a significantly smaller size.
The researchers highlight MiniCPM-V's ability to generalize its multimodal capabilities to over 30 languages, despite being pre-trained primarily on English and Chinese data. This multilingual proficiency is attributed to the use of a strong multilingual LLM as a foundation, reducing the reliance on extensive multimodal data for each language.
MiniCPM-V incorporates techniques like RLAIF-V to mitigate hallucinations, a common problem in MLLMs where responses may not be grounded in the input image.
Whatβs next?
While MiniCPM-V currently focuses on image and text modalities, the sources suggest broadening its capabilities to encompass other modalities like video and audio. This expansion would enable MLLMs to handle a wider range of real-world scenarios and interact with users through more diverse input forms.
So essentially,
MiniCPM-V has GPT-4V performance on your phone!
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