article thumbnail

Generative AI, LLMs and AI Assistants: A Deep Dive into Customer Experience Technology

COPC

Related CX Technology Consulting Fusing technology and expertise to design and deliver exceptional service journeys. Crafting LLM AI Assistants: Roles, Process and Timelines Using the latest AI may seem as easy as developers using APIs in commercial LLM options like OpenAI. Developing an LLM AI assistant involves multiple ingredients.

article thumbnail

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 106
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How Earth.com and Provectus implemented their MLOps Infrastructure with Amazon SageMaker

AWS Machine Learning

That is where Provectus , an AWS Premier Consulting Partner with competencies in Machine Learning, Data & Analytics, and DevOps, stepped in. To learn more about the Provectus ML infrastructure and MLOps, visit Machine Learning Infrastructure and watch the webinar for more practical advice.

article thumbnail

How to Evaluate Call Center Software Vendors for Customer Data Platform Solutions

NobelBiz

Brad Butler, Contact Center Software Consultant @NobelBiz The Importance of Customer Data in Call Centers Customer Data Platform (CDP) software allows contact centers (and other business models, for that matter) to pull in customer data from any channel, system, or data stream to build a unified customer profile.

article thumbnail

How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

AWS Machine Learning

Amazon Bedrock is fully serverless with no underlying infrastructure to manage extending access to available models through a single API. In Q4’s solution, we use Amazon Bedrock as a serverless, API-based, multi-foundation model building block. LangChain supports Amazon Bedrock as a multi-foundation model API.

article thumbnail

3 Quick Principles of Re-engineering a Process in Salesforce

Aria Solutions

In my interactive webinar series on how to design a process like a pro, I talked about prioritizing parts of the process to re-engineer based on business values that ranged from revenue generation, to user productivity, to customer experience. Prioritize for value and technical complexity. Traceability is a bit of a buzz killer.

article thumbnail

Quick Principles of Re-engineering a Process in Salesforce

Aria Solutions

In my interactive webinar series on how to design a process like a pro, I talked about prioritizing parts of the process to re-engineer based on business values that ranged from revenue generation, to user productivity, to customer experience. Prioritize for value and technical complexity. Traceability is a bit of a buzz killer.