In this blog, we demonstrate how to build and run a PDF Summarizer Agent using Intel® XPU-optimized tooling for efficient inference, leveraging CrewAI’s orchestration, PyPDF2 for text extraction, and a T5-based model for summarization.
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Articles récents
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
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- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
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Neural networks news
Intel NN News
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
In this blog, we demonstrate how to build and run a PDF Summarizer Agent using Intel® […]
- Rethinking AI Infrastructure: How NetApp and Intel Are Unlocking the Future with AIPod Mini
In an era dominated by the narrative that “AI equals GPUs,” a quiet revolution is […]
- Intel Labs Open Sources Adversarial Image Injection to Evaluate Risks in Computer-Use AI Agents
Adversarial examples can force computer-use artificial intelligence (AI) agents to execute […]
- Efficient PDF Summarization with CrewAI and Intel® XPU Optimization
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