Aleksandra Furtak
Technical Recruiter at Snowflake ❄️
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I couldn't be more happy to see how great our Snowflake Cortex is in comparison to our competitors in the market. And I am super proud to work alongside with the Cortex co-creators here in Warsaw office. If you are thinking of changes and you'd like take the opportunity to join the incredible Snowflake AI team, do not hesitate to take a look and apply: https://lnkd.in/dZZGRM_8 Cheers! 🙌 #research #airesearch #hiring #snowflakeai
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Sumeet Tandure
Senior SE Manager at Snowflake. Enjoying my time working with accomplished individuals & the best team in the industry. Helping customers solve their toughest data requirements.
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Check out in this detailed comparison of #sentimentanalysis models, how Snowflake #cortex specialized #LLM outperformed all the others."Snowflake’s Cortex Sentiment model was scary good at predicting the sentiment star rating, which since it is a specialized LLM model tuned for sentiment, maybe should not be overly surprising. This one is the clear winner in this context and for this use case. It was so much better than the rest, that we plan to use it for our real client sentiment analysis use case."
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Maciej Swiderek
Financial Technology Platform for Businesses | Payments | Risk Management | Financial Solutions | Data & Analytics
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Snowflake's philosophy is very simple - bring tools to your #data ! In this case - bring #models to your data! You want to keep your data in a secure and fully governed #dataplatform and be able to deploy and train models directly there. #Snowflake offers a lot of #models directly in the platform (like #mistral, #llama and others) but if you feel like you need more - take a look at this article, where our very own FCTO Michael Gorkow explains how easy it is to bring #huggingface models to Snowflake and shows 10 example #ai #tasks that you can do with it!
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Synergise AI
428 followers
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YES to ALL of this! Great article by Jeff Hollan of Snowflake for VentureBeat - How data engineers should prepare for an AI world. Read here: https://hubs.li/Q02hXMLJ0
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Dan Rounds
Leading Acquisition Commercial Sales Engineering, EMEA
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Big News! #SnowflakeArctic ❄️Snowflake Arctic delivers top-tier intelligence with unparalleled efficiency at scale, and joins the Snowflake Snowflake Arctic model family, a family of models built by Snowflake that also include the best practical text-embedding models for retrieval use cases.Read more about how we’re accelerating AI innovation for all users:
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Chris Kosak
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Join us at Snowflake as we explore the transformative impact of generative AI on data science, cybersecurity, applications, and business strategy. Regardless of your current data strategy, this webinar offers insights and conversations to prepare for the future of data and generative AI.
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Aimpoint Digital
6,902 followers
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In part 2 of our Snowflake Cortex series, Christopher Marland, a recognized Snowflake Data Superhero, delivers a tutorial on the COMPLETE function in Snowflake Cortex AI. This function allows you to integrate LLMs into your SQL queries, offering a new level of AI-driven data interaction within Snowflake.Whether you’re looking to enhance your AI models or explore new ways to leverage Snowflake’s capabilities, this video is a must-watch for any data professional aiming to optimize their data strategies with Snowflake Cortex AI.👉 Watch the video today: https://lnkd.in/ecPjf8f3
Snowflake Cortex AI | How to Use the COMPLETE Function https://www.youtube.com/
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Christian Fabián Torres
Cloud Solutions Architect | Application Architect | SRE & DevOps Engineer | Software Developer | Consultant | Trainer
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Build End-To-End RAG Applications Using Airbyte and Snowflake Cortexhttps://lnkd.in/gqu3EhGDAs a practical example, this article shows how to build an AI Product assistant — an AI chatbot capable of answering product-related questions using data from multiple sources. With the AI Product Assistant, you can ask questions across all your company’s data in one place.You can utilize the Snowflake Cortex destination to load vector data into Snowflake, followed by leveraging Snowflake’s Cortex functions to perform Retrieval-Augmented Generation (RAG). Cortex offers general-purpose ML functions and LLM-specific functions, along with vector functions for semantic search, each backed by multiple models, all without needing to manage or host the underlying models or infrastructure.
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Amar Kanagaraj
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Snowflake Summit was a blast! ❄️ Had great conversations with partners, customers, and prospects!The energy around Gen AI was palpable. The new features are exciting, especially Document AI and the Artic LLM - claimed to deliver better results than other LLMs on enterprise needs such as SQL generation. Lots of customer excitement about using Document AI and text-to-SQL features. And while RAG, other LLM usecases are still early.#SnowflakeSummit #GenAI #DocumentAI Protecto #snowflake
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Chad Troline
Democratizing Data and AI at Databricks
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"🚀 Exciting News! Our latest blog dives into how Databricks & MLflow helps you evaluate your GenAI applications. Discover how to enhance your AI's prompts, retrieval systems, and LLM with Databricks' Data Intelligence Platform. Perfect your GenAI implementation with our easy-to-follow guide, from crafting prompts in the AI Playground to evaluating results with MLflow. Unleash the full potential of your GenAI models and ensure top-notch performance. Read now! #GenAI #Databricks #MLflow #AIInnovation"
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Justin Zumbano
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"🚀 Exciting News! Our latest blog dives into how Databricks & MLflow helps you evaluate your GenAI applications. Discover how to enhance your AI's prompts, retrieval systems, and LLM with Databricks' Data Intelligence Platform. Perfect your GenAI implementation with our easy-to-follow guide, from crafting prompts in the AI Playground to evaluating results with MLflow. Unleash the full potential of your GenAI models and ensure top-notch performance. Read now! #GenAI #Databricks #MLflow #AIInnovation"
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