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 unprecedented efficiency and creativity. The technical solution covers: CrewAI Framework: We’ll dissect the architecture of CrewAI, demonstrating how it orchestrates multiple AI agents to collaborate on complex tasks. Gemini Integration: Insight into integrating Google’s Gemini model for natural language generation tailored to eBook creation. End-to-end use case of Automated non-fiction research and writing. Audience Takeaways: Hands-on Resources: Attendees will see an interactive demo of the working code Free community: Opportunity to join and learn from the author’s Generative AI community. Best Practices Guide: PDF detailing optimal workflows, prompt engineering techniques with lessons learnt. Join us to witness the future of publishing, where AI becomes an indispensable partner in crafting literature.
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...
In this session, Leann Chen will introduce GraphRAG, a method that integrates knowledge graphs with large language models (LLMs) to enhance Retrieval-Augmented Generation (RAG) systems. Graph RAG can address challenges...
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