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The FACTS Grounding benchmark evaluates LLMs' ability to generate factually accurate responses grounded in source material to reduce hallucinations. β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β β
Gen AI Present and Future: A Conversation with Rashmi Kumar, SVP and CIO at Medtronic (8 minute read)
Medtronic is leveraging AI to enhance productivity, automate tasks, and improve decision-making using tools like AI-driven contract management and supply chain optimizations. The company is focusing on AI applications in healthcare, such as precision in diagnostics, robotic-assisted surgeries, and image analysis for early detection of conditions. Medtronic balances internal AI R&D with collaborations, emphasizing partnerships with tech companies and AI startups.
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Face Video Restoration (5 minute read)
SVDR is a unified framework for face video restoration that supports tasks such as BFR, Colorization, Inpainting, and their combinations within one cohesive system.
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Emerging Wedges in Vertical AI Startups (7 minute read)
Vertical AI startups are rapidly gaining traction by focusing on four key areas: voice automation, unstructured data parsing, verticalized search, and content generation. These technologies enable startups to address specific industry pain points, enhancing efficiency and accessibility while reducing costs. As these companies grow, they may evolve their offerings and potentially become essential systems of record within their industries.
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Is AI hitting a wall? (15 minute read)
AI model pre-training improvements may be stalling, according to experts like Ilya Sutskever, but the perception of an AI progress plateau could be due to outdated evaluation methods. Despite scaling challenges, AI’s potential continues with untapped data sources and synthetic data, enhancing capabilities across various domains. Advances in teaching models reasoning and using new data could unlock significant improvements, suggesting AI development remains robust.
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Sorry Human, You’re Wrong (7 minute read)
ChatGPT o1 Pro, despite its hefty $200 monthly fee, shows only marginal improvements over its predecessor. It fails key identification tests and displays an unsettling confidence in incorrect answers. This rigidity raises concerns about its reliability in critical scenarios, such as insurance or health discussions. The persistence of such behavior warrants closer evaluation and development adjustments.
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Andrew Tan & Andrew Carr
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