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Otter AI Review: Is It the Most Accurate AI Transcriber?

Unite.AI

So, in this Otter AI review, I'll share what Otter AI is, who it's best for, and its key features. I'll finish the article by listing the best Otter AI alternatives I've tried. While its transcription quality is generally high, you'll have to manually review it to correct errors, and it is limited to English. Let's get into it.

AI 147
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Top Speech to Text AI Tools (2023)

Marktechpost

Intelligent transcription software is one of the most valuable features made possible by AI and ML since it automatically translates audio and video sources into text. This subfield is the foundation of AI transcription software and services. Speak also facilitates the sharing of discoveries and the elimination of data silos.

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AI News Weekly - Issue #340: Amazon’s New Robots Are Rolling Out an Automation Revolution - Jul 6th 2023

AI Weekly

Powered by elevateai.com In the News AI glossary: 60+ terms to know Embodied agents, also referred to as embodied AI, are AI agents with a physical body that perform specific tasks in the physical environment. techtarget.com Sponsor AI-driven customer insights, accessible for all. Flexible and cost-effective pricing scales with your needs.

Robotics 190
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Trey Doig, CTO & Co-Founder at Pathlight – Interview Series

Unite.AI

The Pathlight platform autonomously analyzes millions of data points to empower every layer of the organization to understand what's happening at the front lines of their business, and determine the best actions for creating repeatable success. Trey Doig is the Co-Founder & CTO at Pathlight.

LLM 130
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MalgudiGPT : How I used AI to document the past for the future.

Mlearning.ai

I was looking into various apps and services. MalgudiGPT : How I used AI to document the past for the future. In this experiment I am using regional language speech models to help my ageing dad reconnect with his past and preserve it for the future. Being back home in India for the holidays allowed me to work on this project.

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Improving Call Center Performance with Machine Learning: The Most Effective Data Collection Methods

Chatbots Life

Every business is interested in making its customer service experience as efficient and effective as possible because 88% of customers prefer voice calls with a live agent. Call center data collection can help measure the service experience’s quality and uncover trends that can be used for predictive analysis.

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Ask.NET Rocks! questions with Semantic Kernel, GPT, and Chroma DB

AssemblyAI

You'll use Semantic Kernel's abstractions to interact with an LLM and store the transcripts in a vector database. The transcripts will be stored in an open-source vector database, Chroma. Microsoft.SemanticKernel : The Semantic Kernel framework for programming against AI services.

LLM 162