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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

Training 112
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What’s Wrong With Training Wheels?

LeanEssays

I bit my tongue as they passed – I wanted to tell the mom that training wheels are so last century! Once you’ve seen a two-year-old buzzing around on a balance bike, you know the four-year-old struggling with training wheels is using the wrong process to learn to ride a bike. His mom walked slowly beside him.

Training 104
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AI agents loom large as organizations pursue generative AI value

CIO

All aboard the multiagent train It might help to think of multiagent systems as conductors operating a train. Distributing tasks across multi-agent systems requires a modular approach to system architecture, in which development, testing, and troubleshooting are streamlined, reducing disruption.

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Foundation Model for Personalized Recommendation

Netflix Tech

However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly. Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources.

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Unbundling the Graph in GraphRAG

O'Reilly Media - Ideas

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., at Facebook—both from 2020.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO

Because of this, IT leaders must take a proactive approach to change management , communicating the benefits of digital transformation and providing support and training to employees. This may require hiring outside experts and/or investing in training and development for existing staff.