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Networks unchained: the shift toward intent-based autonomous operations

IBM Services

Programming languages have evolved toward low-code/no-code paradigms and with the emergence of generative AI, we are at a point where foundational models can generate formal code based on natural language descriptions of the tasks. As a result, networks have become increasingly hard to manage.

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Understanding the Einstein Bot Builder: A Comprehensive Overview

Perficient Digital Transformation

In this blog post, we’ll explore the Einstein Bot Builder page’s features, functionalities, and capabilities. You can add your bot’s language in the ‘Conversation Languages’ section. We’ll learn about this in another blog. Hello Trailblazers! Refer to the screenshot below. Refer to the screenshot below.

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Building a Conversational Search Application with Azure Cognitive Search and OpenAI Embedding

Perficient Digital Transformation

Introduction In this blog, we will show you how to build a conversational search application that can interact with Azure Cognitive Search (ACS) and retrieve relevant content from a web-scraped index by asking natural language questions, requesting for summary information, and using vector search.

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How to use Azure Blob Data and Store it in Azure Cognitive Search along with Vectors

Perficient Digital Transformation

Introduction In the previous blog post, we showed you how to scrap a website, extract its content using Python, and store it in Azure Blob Storage. In this blog post, we will show you how to use the Azure Blob data and store it in Azure Cognitive Search (ACS) along with vectors. You can store these values in a .env

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Lading into Generative AI: Transformers

Perficient Digital Transformation

The goal of this blog post is to provide a brief review of some of the underlying technologies that have revolutionized and propelled the development of artificial intelligence over the years. As we’re all aware, generative AI has come to revolutionize our lives, our daily routines, and particularly the way we work.

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Generate Embeddings using OpenAI Service

Perficient Digital Transformation

Introduction: Embeddings are essential in the fields of natural language processing (NLP) and machine learning because they convert words and phrases into numerical vectors. By successfully capturing semantic linkages and contextual meanings, these vectors help machines comprehend and process human language.

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Comparing ChatGPT and Grammarly: Which is the Best Grammar Checker?

Jonajo Blog

Introduction In the modern digital age, writing has become an integral part of communication across various platforms. ChatGPT: The Power of Contextual Communication ChatGPT, developed by OpenAI, is an advanced language model designed to generate coherent and contextually relevant text.

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