What you can learn from Snowflake's revolutionary AI & LLM integration

Have you heard about the incredible progress that Snowflake has made with integrating AI and large language models (LLMs) into its platform?

Because Snowflake is one of the foremost leading data cloud companies on the market, it’s no wonder that they’ve been early adopters… Nonetheless, this recent adaptation is an incredible example of how businesses are quickly applying (and monetizing) LLMs in a real-world business context. Let’s take a deeper look under the hood here, shall we?

Snowflake's Pioneering AI Integration: A Game-Changer in Data Cloud Technology

Snowflake's AI integration involves the use of generative AI and LLMs to enhance data-driven decisions and maximize the value of data that sits on its platform. For this use case, generative AI and LLMs are being deployed to identify the right data points, assets, and insights, thereby empowering teams to make maximum value from the data that’s sitting within their repositories. 

But how did Snowflake manage to adapt so quickly, you ask? Strategic acquisition of course! 

Snowflake recently acquired three companies to bring advanced AI and deep learning to its Data Cloud. Those three companies:

• Neeva: A search startup that leverages generative AI to enable users to query and discover data in new ways

• LeapYear: A company that enhances Snowflake's data clean room capabilities

• Myst AI: An artificial intelligence-based time series forecasting platform provider

This move is part of Snowflake's strategy to stay at the forefront of the AI trend; A trend which is expected to see a massive $1.3 trillion spend over the next decade (according to Bloomberg, June 2023) 

Snowflake has also launched Snowflake Cortex, a service aimed at enabling companies to build their own large language models to serve as their custom foundation for generative AI application development. 

Snowflake's AI integration is just one of hundreds of real-life cases where LLMs are being integrated into applications.

If you’re lacking in development skills that are required to integrate LLMs into  your company’s applications, don’t feel bad. This is a very new space and there is still time for you to jump onboard and get ahead of the pack!

That’s one reason I’m so excited to bring to you this week’s incredible free learning opportunity:  How to Launch ChatGPT LLM Apps in 3 Easy Steps

Free Training Invite: How to Launch ChatGPT LLM Apps in 3 Easy Steps

Here’s what you’ll come away with:

• See first-hand the potential of LLMs in enhancing data-driven decisions.

• Get a simple 3-step process you can use for integrating LLMs into your applications

• Learn industry best practices for developing and testing LLM apps.

To be held tomorrow, December 7, 2023, from 10:00am to 11:00 am PST,  join us for a power-packed training session where you’ll learn how to get started building and launching ChatGPT LLM applications almost overnight.

This event is meticulously designed for developers, data professionals, and AI enthusiasts like yourself. 

As always with SingleStore trainings, you’ll be getting hands-on knowledge straight from the experts. 

Plus, don't miss out on our live demo and code-sharing segment for a practical experience in deploying these sophisticated technologies. 

This training is key to elevating your skills so you can stay at the forefront of AI application development.

Spots are filling up fast, and you won't want to miss out. Click here to reserve your seat now and take the first step on your journey to mastering ChatGPT LLM applications.

Yours Truly,

Lillian Pierson

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