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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

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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.

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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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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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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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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.

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SambaNova raises $676M at a $5.1B valuation to double down on cloud-based AI software for enterprises

TechCrunch

One was in imaging, such as in the healthcare industry, where the company’s technology is being used to help train systems based on high-resolution imagery, along with other healthcare-related work. SambaNova has created a leading systems architecture that is flexible, efficient and scalable.