2023 Artificial Inteligence Generative AI 
Acuvate
DECEMBER 9, 2024
Introduction Imagine asking an AI a complex question like, What did BBC and The Verge report about climate change in December 2023? Traditional AI retrieval systems often struggle with these multi-hop queries, where answers must be synthesized from multiple sources or contexts. Publication Dates : e.g., December 2023.
Acuvate
NOVEMBER 26, 2024
Introduction Retrieval-Augmented Generation (RAG) has emerged as a critical technique for empowering Large Language Models (LLMs) with real-time knowledge retrieval capabilities. For example: “Did BBC and The Verge report on climate change policies in December 2023?”
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Leapfrogging
MARCH 19, 2024
However, with the advent of artificial intelligence in innovation management , these stages and gates are being reimagined. AI technologies offer unprecedented capabilities in data analysis, pattern recognition, and predictive modeling, which can significantly enhance the efficacy of the Stages and Gates process.
Acuvate
SEPTEMBER 2, 2023
Among the numerous technological advancements of our era, Generative AI stands a world ahead, like the true trailblazer that it is. Generative AI has the potential to reshape the workplace and the way businesses engage with customers. What is Generative AI and Why Enterprises Need to Care?
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Acuvate
NOVEMBER 26, 2024
Introduction Retrieval-Augmented Generation (RAG) has emerged as a critical technique for empowering Large Language Models (LLMs) with real-time knowledge retrieval capabilities. For example: “Did BBC and The Verge report on climate change policies in December 2023?”
Acuvate
DECEMBER 9, 2024
Introduction Imagine asking an AI a complex question like, What did BBC and The Verge report about climate change in December 2023? Traditional AI retrieval systems often struggle with these multi-hop queries, where answers must be synthesized from multiple sources or contexts. Publication Dates : e.g., December 2023.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn
In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.
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