Learn how SageMaker JumpStart paves the way for efficient AI adoption with a blend of foundation models, algorithms, and seamless integrations, without hefty initial investments.
Our Data Scientists are hard at work every day on solving unique problems with AI for our customers that require custom solutions. However, this demands substantial effort and investment in understanding data, tuning models, training models, and deploying for inference. For customers who are looking for a quick win with potentially solved or nearly solved challenges, let's explore Amazon SageMaker JumpStart – a solution that offers a quicker route to actionable outcomes.
SageMaker JumpStart is a combination of a model hub, an algorithm hub, and a series of solutions that are deployable often in one click with a few parameters. It's a place where you can start working with generative AI foundation models such as Cohere.
There are also more traditional machine learning models and algorithms, like XG boost, which are deployable in one click with SageMaker JumpStart. Furthermore, there are also written solutions that are pre integrated with everything from Amazon Kendra, Lookout for Metrics & CloudWatch, to S3. Given all of these integration points, it is extremely common for these production use cases to already have a proof of concept available on SageMaker JumpStart. This makes it a really great place for customers to get started and get a quick win while also being able to to prove out ideas before moving into production.
Next Steps
We hope this provides you some insight into the Amazon SageMaker JumpStart and how you can leverage it.
Are you exploring ways to take advantage of Analytical or Generative AI in your organization? Partnered with AWS, Caylent's data engineers have been implementing AI solutions extensively and are also helping businesses develop AI strategies that will generate real ROI. For some examples, take a look at our Generative AI offerings.
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Randall Hunt, VP of Cloud Strategy and Innovation at Caylent, is a technology leader, investor, and hands-on-keyboard coder based in Los Angeles, CA. Previously, Randall led software and developer relations teams at Facebook, SpaceX, AWS, MongoDB, and NASA. Randall spends most of his time listening to customers, building demos, writing blog posts, and mentoring junior engineers. Python and C++ are his favorite programming languages, but he begrudgingly admits that Javascript rules the world. Outside of work, Randall loves to read science fiction, advise startups, travel, and ski.
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As Caylent's VP of Customer Solutions, Mark leads a team that's entrusted with envisioning and proposing solutions to an infinite variety of client needs. He's passionate about helping clients transform and leverage AWS services to accelerate their objectives. He applies curiosity and a systems thinking mindset to find the optimal balance among technical and business requirements and constraints. His 20+ years of experience spans team leadership, technical sales, consulting, product development, cloud adoption, cloud native development, and enterprise-wide as well as line of business solution architecture and software development from Fortune 500s to startups. He recharges outdoors - you might find him and his wife climbing a rock, backpacking, hiking, or riding a bike up a road or down a mountain.
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