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There are several recent developments in the field of Artificial Intelligence (AI) which showcase its rapid advancement and the need for robust evaluation methods. OpenAI, a leading AI research company, is reportedly developing new strategies to address the slowdown in AI model improvements. Researchers from Bloomberg and UNC Chapel Hill have introduced M3DocRAG, a novel multi-modal RAG framework for Document Visual Question Answering (DocVQA). This framework aims to improve AI’s ability to understand complex documents with text, images, and tables. The increasing accuracy of AI models has prompted several companies to create their own internal benchmarks, as public tests are becoming inadequate to gauge the capabilities of advanced models. The need for more rigorous and comprehensive evaluations reflects the evolving nature of AI research and the increasing complexity of AI systems.

References:

• @Techmeme - Meta, OpenAI, Microsoft, and other AI companies create their own internal benchmarks as new models approach or exceed 90% accuracy on existing public tests (Cristina Criddle/Financial Times) - 24d
• www.ft.com - Meta, OpenAI, Microsoft, and other AI companies create their own internal benchmarks as new models approach or exceed 90% accuracy on existing public tests (Cristina Criddle/Financial Times) - 24d
• Techmeme - The AI advancement is surpassing current methods of evaluating and comparing large language models - 24d
• TechCrunch - OpenAI is reportedly developing new strategies to deal with AI improvement slowdown. - 24d
• MarkTechPost - Researchers from Bloomberg and UNC Chapel Hill have introduced M3DocRAG, a multi-modal RAG framework that flexibly accommodates various document contexts. - 24d

Classification:

• HashTags: AI AIresearch AIdevelopment
• Company: OpenAI
• Product: AI Models
• Feature: Accuracy
• Type: Research
• Severity: Informative