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5 Ways to Use Big Data to Run a Successful Food Franchise

Smart Data Collective

There is no doubt that 2020 was a challenging year for the food franchise industry, but 2021 and beyond are set to be brighter times. Consider potential investments capital, the possibility of loans and the projected profits of your food franchise. Big Data Makes it Easier for Franchises to Thrive.

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Beyond The Data: Marcus Montenegro, Principal Consultant

phData

From break dancing showdowns to being crowned Taekwondo champ, his journey is as exhilarating as it gets. And did we mention he’s also a tattoo artist? Get ready to dive into the thrilling world of Marcus – where the thrill of work meets the excitement of play! I was born and raised in Rio de Janeiro and moved to São Paulo after 28 years.

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Databricks DBRX is now available in Amazon SageMaker JumpStart

AWS Machine Learning Blog

The DBRX LLM employs a fine-grained mixture-of-experts (MoE) architecture, pre-trained on 12 trillion tokens of carefully curated data and a maximum context length of 32,000 tokens. You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models so you can quickly get started with ML.

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Learning at 200mph – IndyCar Racing

DataRobot

Throughout 2021, I went on an adventure of traveling around the country to many racing events learning everything I could about the technology, the people, and the racing culture. “Winning at 200mph” is the theme for DataRobot’s amazing and unique sponsorship of an Andretti Autosports Indy race car driven by Robert Megennis.

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Fine-tune Llama 2 for text generation on Amazon SageMaker JumpStart

AWS Machine Learning Blog

The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Fine-tuned LLMs, called Llama-2-chat, are optimized for dialogue use cases. Llama 2 is intended for commercial and research use in English.

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