There is overwhelming evidence from academic research and industry benchmarks that domain-specific and task-specific large language models outperform general-purpose LLMs across multiple dimensions: Accuracy, veracity, human preference, and cost. This...
Explore the transformative potential of Generative AI in the world of digital publishing. This case study leverages the CrewAI framework and Google’s Gemini model to create sophisticated, engaging eBooks with...
Real-world data is far from perfect. It often contains multiple records belonging to the same entity (e.g., customer, property, etc.). These records can come from multiple systems and have variations...
Unifying large language models (LLMs) and knowledge graphs (KGs) can address the shortcomings of LLMs such as lack of factual knowledge, hallucinations and lack of interpretability. Integrating LLMs with knowledge...
Clinical data summarization using generative AI involves leveraging advanced algorithms to extract, analyze, and condense vast amounts of medical information into concise, actionable insights. This technology employs natural language processing...
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