Remove 2022 Remove APIs Remove Personalization Remove Scripts
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Knowledge Bases for Amazon Bedrock integration allows our chatbot to provide more relevant, personalized responses by linking user queries to related information data points. Note that you can also use Knowledge Bases for Amazon Bedrock service APIs and the AWS Command Line Interface (AWS CLI) to programmatically create a knowledge base.

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Top 10 Contact Center Software for 2022-2023

Hodusoft

Top 10 Contact Center Software for 2022-2023. This blog post lists the top 10 contact center solutions that gained a lot of popularity in 2022 and are poised to keep up the momentum in 2023 and beyond. Ameyo is yet another major contender for the top contact center solutions for 2022-23. Ease of use and performance.

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Top 8×8 Alternatives & Competitors in 2022

JustCall

per user per month Premium – Message, video, and phone features and an open API at $33.74 per user per month Ultimate – Message, video, and phone features and an open API at $44.99 Virtual Receptionist: Ooma offers callers a menu with all the instructions to reach the correct person or department. per user per month.

voip 52
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Introducing an image-to-speech Generative AI application using Amazon SageMaker and Hugging Face

AWS Machine Learning

At the 2022 AWS re:Invent conference in Las Vegas, we demonstrated “Describe for Me” at the AWS Builders’ Fair, a website which helps the visually impaired understand images through image caption, facial recognition, and text-to-speech, a technology we refer to as “Image to Speech.” I recognize one person: Kanbo.

APIs 86
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Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

AWS Machine Learning

Despite using Amazon Comprehend to filter out personal data that may be provided through user queries, there remains a possibility of unintentionally surfacing personal or sensitive information, depending on the ingested data. Identifying users and their actions allows the solution to maintain traceability.

APIs 88
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How Games24x7 transformed their retraining MLOps pipelines with Amazon SageMaker

AWS Machine Learning

The AI and data science team dive into a plethora of multi-dimensional data and run a variety of use cases like player journey optimization, game action detection, hyper-personalization, customer 360, and more on AWS. This helps in validating if our custom scripts will run on SageMaker instances.

Scripts 76
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Harness large language models in fake news detection

AWS Machine Learning

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. For this post, we use the Amazon Bedrock API via the AWS SDK for Python. The script instantiates the Amazon Bedrock client using Boto3.

APIs 103