Blog - Ingeniería
Grounding Reality – How Cresta Tackles LLM Hallucinations in Enterprise AI
Discover the six core pillars behind Cresta’s ground-breaking approach to building AI systems that minimize hallucinations by design, not by chance.
Build vs. Buy: How Cresta Engineered Its Own Customer Data Access Solution
Build vs. Buy: Which is the right choice for access management? Learn why Cresta's security team chose to build a custom customer data access solution instead of relying on third-party vendors.
Understanding Cresta’s Voice Platform - ML Services, Inference Graphs, and Real-Time Intelligence
Learn more about Cresta's voice platform's machine learning (ML) stack, exploring how inference graphs orchestrate model workflows, how customer-specific policies influence ML processing, and how Cresta delivers actionable insights in real-time.
Understanding Cresta’s Voice Platform - The Voice Stack
Read part two of our series focused on Cresta's voice platform, this time focusing on how the platform processes live audio streams through its voice stack and how business logic layers power real-time guidance for agents.
Understanding Cresta’s Voice Platform - Handling Incoming Traffic with Customer-Specific Subdomains
Learn about the technology behind Cresta's voice platform in this three-part series.
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.
Streamlining front-end development: Insights from Cresta’s tech stack
Take a close look at Cresta’s front-end (FE) architecture: how the main FE repository is structured, our build and deployment processes, and our approach to code generation.
John Donovan on the Potential of Large Language Models in the Enterprise
John Donovan, prior CEO of AT&T Communications, shares his c-level insights on deploying large language models in the enterprise.
Does One Large Language Model Fit All?
Learn about the pros and cons of public and private large language models and why that matters in the modern contact center.
The Emerging Stack of Generative AI
In this article, we aim to shed light on the recent advancements in generative AI and provide a view of how the future AI technology stack will unfold.
Cresta Expands Generative AI Solutions for the Contact Center
Learn about the latest solutions and enhancements to Cresta's real-time intelligence platform, powered by generative AI.
ChatGPT and Generative AI in the Enterprise
ChatGPT, a recently released Generative AI model, has taken the world by storm and sparked the interest of business executives. Its ability to generate fluent and useful text has understandably captured the attention of many leaders, across a wide variety of industries, looking to stay ahead of the curve.
How Cresta Understands Conversations
Learn the different methods Cresta's AI uses to understand the complexities of human conversation.
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