A CIA technique called a canary trap helps us detect AI hallucination risk in large language models (LLMs) enhanced with retrieval augmented generation (RAG).
As use of generative AI increases, it's critical to be able to understand how models arrive at the output they do in order to foster trust.
Integrating continuous evaluation of large language models (LLMs) into your CI/CD pipelines keeps undesired changes from impacting your generative AI solutions.
Learn what retrieval augmented generation (RAG) is, how it enhances generative AI like large language models (LLMs), and key considerations for RAG systems.
Integrating voice into your business involves 1) identifying your use cases, 2) picking the right voice technology, and 3) partnering with the right AI firm.
Delve into this list of must-know digital customer experience statistics to help shape your 2024 strategies.
Intent classification used in concert with a large language model (LLM) and retrieval-augmented generation (RAG) system resulted in a safer financial chatbot.
AI-powered voice technology will transform life and business in 3 waves, with industries such as banks, hospitals, and restaurants already in Wave One.
Large language models (LLMs) are effective tools for testing how well retrieval augmented generation (RAG) systems can enhance a generative AI model.
See how WillowTree partners with the University of Virginia School of Medicine to explore generative AI and use case prioritization in medical education.
Just as generative AI can be used by bad actors to perpetuate fraud, so too can it be used by those looking to prevent it. Learn more about its dual role.
Dive into the symphony of contact center quality management. Explore strategies, challenges and best practices that can help create a CX masterpiece.
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