Why Pay for Every Question Twice? Precomputing Answers for Real-Time RAG
Learn how Cresta’s Precomputed Answer Engine reduces RAG latency with high-confidence answers that adapt to changing customer questions and knowledge base content.
AI-Ready Knowledge for Contact Centers: Closing the Gap Between the Knowledge Base and AI
Learn about Cresta's approach to transform knowledge bases into AI-ready knowledge that supports the modern contact center.
More than Just a Model: How Cresta Delivers Precise, Adaptable Summaries with Ultra-Low Latency
This post breaks down how Cresta built a system, from training data to model tuning, that delivers fast, high-quality summaries tailored to the realities of contact centers.
How fine tuned LLMs power knowledge assist, summarization, and chat suggestions
Learn about how Cresta is leveraging fine tuned LLMs to power knowledge assist, summarization, and chat suggestions in this latest post on our foundation model, Ocean.
How custom summarization saves hours of after-call work
One of the most remarkable abilities in large language models (LLMs) is to distill extensive and complex information into concise, coherent, and meaningful summaries.
Why Pay for Every Question Twice? Precomputing Answers for Real-Time RAG
Learn how Cresta’s Precomputed Answer Engine reduces RAG latency with high-confidence answers that adapt to changing customer questions and knowledge base content.
AI-Ready Knowledge for Contact Centers: Closing the Gap Between the Knowledge Base and AI
Learn about Cresta's approach to transform knowledge bases into AI-ready knowledge that supports the modern contact center.
More than Just a Model: How Cresta Delivers Precise, Adaptable Summaries with Ultra-Low Latency
This post breaks down how Cresta built a system, from training data to model tuning, that delivers fast, high-quality summaries tailored to the realities of contact centers.
How fine tuned LLMs power knowledge assist, summarization, and chat suggestions
Learn about how Cresta is leveraging fine tuned LLMs to power knowledge assist, summarization, and chat suggestions in this latest post on our foundation model, Ocean.
How custom summarization saves hours of after-call work
One of the most remarkable abilities in large language models (LLMs) is to distill extensive and complex information into concise, coherent, and meaningful summaries.