Inbenta

MARCH 13, 2023

The Generative AI platform’s meteoric rise is understandable – a new and transformative AI tool capable of fixing code, responding to questions, writing emails and articles, and everything in between, is now widely available to the public. The data used to train ChatGPT is also impressive — 45 terabytes of text data.

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Chatbots Accountability Enterprise Marketing 111

Playvox

SEPTEMBER 14, 2022

The rise in conversational commerce — chat interactions on a variety of platforms with customers before, during, and after a sale — is creating even more data to analyze and track. To take control, you’ve got to understand customer sentiment — how customers feel about your product or service. Understand Your Customers.

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Feedback Surveys Contact Center Engineering 79

JustCall

AUGUST 7, 2023

Artificial Intelligence, or AI, as it is commonly known, is everywhere. AI tools like ChatGPT, Dall-E2, and Lumen5 are on the stakeholder’s agenda. Despite how actively businesses want to use custom AI solutions, they are still weary of its (possible) negative impact. But First, What is AI? from 2023 to 2030.

Chatbots 52

Chatbots Enterprise Finance Government 52

AWS Machine Learning

MARCH 13, 2024

Gemma was launched with a new Responsible Generative AI Toolkit that provides guidance and essential tools for creating safer AI applications with Gemma. Gemma was launched with a new Responsible Generative AI Toolkit that provides guidance and essential tools for creating safer AI applications with Gemma.

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Benchmark Scripts APIs Feedback 104

AWS Machine Learning

MARCH 15, 2024

This is a guest blog post written by Nitin Kumar, a Lead Data Scientist at T and T Consulting Services, Inc. Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. This isolated legacy data has the potential for massive impact if cumulated.

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Healthcare Government Best practices Engineering 96

AWS Machine Learning

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Best practices Engineering Chatbots Enterprise 102

AWS Machine Learning

JUNE 12, 2023

Open-source LLMs provide transparency to the model architecture, training process, and training data, which allows researchers to understand how the model works and identify potential biases and address ethical concerns. This model allows developers to have more control over the chatbot’s behavior and tailor it to their specific applications.

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Chatbots APIs Engineering Enterprise 77