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AI-based Travel Assistant Wins AltexSoft’s GenAI Hackathon

Altexsoft

It helped engineers, managers, and admin staff learn large language models (LLMs) capabilities and train at building products based on LLM APIs. It accesses the Jira project management environment via an API and retrieves tasks, assignees, and task details based on natural language requests.

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10 ways AI can make IT more productive

CIO

“The steps to create employee credentials and access permissions, pre-configure security settings, and prepare the individual for a productive first day on the job really doesn’t require human intervention,” he adds. This scalability allows you to expand your business without needing a proportionally larger IT team.”

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Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker

AWS Machine Learning - AI

This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models (LLMs) is the first step in developing powerful AI systems that can understand and generate human-like text. Introduction to torchtitan torchtitan is a reference architecture for large-scale LLM training using native PyTorch.

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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

AI and ML engineers can now move from model training to production deployment with unprecedented speed, reducing time-to-market for new AI features and improvements. Saurabh Trikande is a Senior Product Manager for Amazon Bedrock and SageMaker Inference. Outside of work, he enjoys traveling and video games.

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Update on Software Engineering Career Ladder

James Shore

Now it also covers the advanced titles—Staff Engineer for the engineer track and three Engineering Manager titles for the management track. We still need to add Principal Engineer for the engineer track, and specialty skills, but this is enough for a foundation. Verdict: Jury’s still out on this one.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Solution overview SageMaker Studio is a fully integrated development environment (IDE) for ML that enables data scientists and developers to build, train, debug, deploy, and monitor models within a single web-based interface. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

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The Product Owner Problem

LeanEssays

Each market had a Product Manager, a traditional role found in most product companies. The company was clear about the role of a Product Manager; after all, there are university courses and professional organizations for this role.

SCRUM 58