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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium

AWS Machine Learning

Large language models (LLMs) have captured the imagination and attention of developers, scientists, technologists, entrepreneurs, and executives across several industries. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

Scripts 98
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Contact Center Trends 2024: Our Predictions

Fonolo

We live in an era of big data, AI, and automation, and the trends that matter in CX this year begin with the abilities – and pain points – ushered in by this technology. For example, big data makes things like hyper-personalized customer service possible, but it also puts enormous stress on data security.

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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets. AWS Glue Job setup.

Scripts 73
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21 Business Analysts & Call Center Leaders Reveal the Optimal Role of the Business Analyst in Call Center Operations

Callminer

Business analysts play an integral role in any industry, but they’re especially vital in call center operations. For instance, to improve key call center metrics such as first call resolution , business analysts may recommend implementing speech analytics solutions to improve agent performance management. AmraBeganovich. Kirk Chewning.

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Optimize for sustainability with Amazon CodeWhisperer

AWS Machine Learning

Amazon CodeWhisperer currently supports Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL, and Scala. times more energy efficient than the median of surveyed US enterprise data centers and up to 5 times more energy efficient than the average European enterprise data center.

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From CTO to CX Industry Analyst: An In-depth Conversation with Mark Hillary

Vistio

You have a unique view on the CX industry as a former technology director. Normally the work that I’m doing, yeah, it does sort of split between my own personal pet sort of projects, the latest book I’m working on or something, and the kind of working with industry leaders. Thanks for joining me.

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How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning

During each training iteration, the global data batch is divided into pieces (batch shards) and a piece is distributed to each worker. Each worker then proceeds with the forward and backward pass defined in your training script on each GPU. He has been a thought leader and speaker, and has been in the industry for nearly 25 years.