Thinking about training dataset, data quality, algorithmic bias, ground truth, killer robots, frontier technologies to solve real-world problems, and mostly, an autonomous world is one of our favorite past-times.
Explores the paradox of open-source Large Language Models (LLMs), highlighting hidden costs, infrastructure demands, and practical strategies for cost-effective AI deployment.
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Explore GraphRAG's relational brilliance vs. Notebook LM's document prowess for LLM retrieval, uncovering when to use graphs for depth or documents for efficiency.
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Road traffic accidents is a fatal scourge in the context of Bangladesh. The question is, whether AI can work to prevent road traffic crashes through predictive analysis.
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Illegal, unregulated and unrestricted fishing, maritime piracy, and illegal trades are critical issues of coastal security where real-time and actionable information can track and thwart intrusions.
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The future of work is constantly evolving to best accommodate the demands of the 4th industrial revolution, transforming traditional gig work models.
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The foundation block for providing training dataset, image annotators are the invisible heroes who support the development neural networks and AI solutions.
Read more.Get high-quality and pixel-accurate labelled data through us. We bring the best-in-class, scalable, and adaptive annotation and quality assurance services. Begin the final trek towards fine-tuning your supervised learning model with us.
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