There is a huge demand right now for generative artificial intelligence (AI) applications. Research shows that 67 percent of senior IT leaders are prioritizing generative AI for their business within the next 18 months.
The benefits are well-documented, but how do you get started with minimal upfront investment?
This whitepaper will help you navigate the crucial elements to consider when building a generative AI application.
In this whitepaper, you will learn about:
Explore how organizations can ensure trustworthy, factually grounded responses in agentic RAG chatbots by evaluating contextual grounding methods, using Amazon Bedrock Guardrails and custom LLM-based scoring, to reduce hallucinations and build user confidence in high-stakes domains.
Discover what real-time Retrieval-Augmented Generation (RAG) is, how it works, the benefits and challenges of implementing it, and real-world use cases.
Learn how understanding tokenomics helps organizations optimize the cost and profitability of their generative AI applications—making them both financially sustainable and scalable.
