Blog - Engineering

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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.

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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.

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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.

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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.

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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.

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How Ocean-1 enhancements beat GPT-4 in powering Knowledge Assist

Today, we share an update to Ocean-1: A small 7B Ocean model beats GPT-4 in retrieval-augmented generation (RAG) while being 100x more cost-effective.

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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.

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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.

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Introducing Ocean-1: First Contact Center Foundation Model

We’ve created Ocean-1, a foundation model for the contact center. This large language model is the culmination of our experience in deploying generative AI systems for large enterprises and signifies our latest milestone in advancing the cutting edge AI technology for customer facing conversations.

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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.

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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.

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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.

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How Cresta Understands Conversations

Learn the different methods Cresta's AI uses to understand the complexities of human conversation.

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GraphQL for the React Redux Developer

Migrate toGraphQL using the Apollo Client library to take advantage of advance GraphQL features.

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Demo Day: Cresta's Platform - Auth, APIs, and More

"Cresta's path to a robust API layer that allows us to support our 1st party usage and potential future 3rd party usage "

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