Salesforce AI Introduces TACO: A New Family of Multimodal Action Models that Combine Reasoning with Real-World Actions to Solve Complex Visual Tasks
Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks such as fine-grained recognition, visual grounding, reasoning, and multi-step problem-solving. Existing open-source multi-modal language models are found to be wanting in these areas, especially for tasks that involve external tools such as OCR or mathematical calculations. The abovementioned limitations can largely be attributed […]
The post Salesforce AI Introduces TACO: A New Family of Multimodal Action Models that Combine Reasoning with Real-World Actions to Solve Complex Visual Tasks appeared first on MarkTechPost.
Summary
Salesforce AI has introduced a new family of multimodal action models called TACO, which aim to combine reasoning with real-world actions to solve complex visual tasks. These models address the need for effective multi-modal AI systems that can handle tasks like fine-grained recognition, visual grounding, reasoning, and multi-step problem-solving. Existing open-source models have limitations in these areas, especially for tasks involving external tools like OCR or mathematical calculations.
This article was summarized using ChatGPT