Baris Gultekin
@barisg
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Head of product for AI at Snowflake. Previously Google Now cofounder, Google Assistant product director.
Palo Alto, CA
Joined October 2007
Yay, our team has just published a new paper, “Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads" https://t.co/f7sbwRzhV6 Shift Parallelism is a new inference parallelism strategy that can dynamically switch between Tensor Parallelism and
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Cortex Agents are out, with @AnthropicAI as a key LLM powering it. ➡️ Orchestrate across structured and unstructured data sources ➡️ State of the art retrieval: Cortex Analyst with agentic text-to-SQL for high-quality structured data retrieval. Cortex Search with state of the
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Excited to share @Snowflake’s One Million Minds + One Platform initiative -- a $20 million commitment to upskill 1M+ people in AI and data by 2029. Hear more from our @RamaswmySridhar on how we're empowering the next wave of data-driven AI innovators.
🌎 Introducing @SnowflakeDB's One Million Minds + One Platform - where we’re empowering one million minds with AI and data skills 🧠 I couldn’t be prouder to support the next generation of builders, AI users, developers, and data experts with this initiative. 🚀
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Snowflake, with Hao AI Lab, placed no. 1 on the Spider 2.0 leaderboard, a new benchmark that offers a more realistic test of LLMs’ performance on complex enterprise tasks. Exciting possibilities ahead.
Wow, congratulations 🎉! A team achieved a performance of 24.68% on Spider 2.0-Snow. Are there any better methods out there? 🧐 https://t.co/APo9sGiPiG
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Snowflake customers get immense value from the open source models we host in Cortex AI. For example, open source models like @AIatMeta’s Llama have proven to be highly capable and suited for enterprise-grade AI work. I see it first-hand every day.
Applied AI: Why Businesses Are Skipping Open-Source Models Read more from @jon_victor_ 👇
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Exciting win for open source embeddings - Arctic Embed 2.0 is out, state-of-the-art multilingual embeddings for retrieval tasks, with high inference efficiency. Available as part of Snowflake Cortex or on HuggingFace under an Apache-2 license.
We’re thrilled to announce the release of Arctic Embed 2.0, the next iteration of our frontier embedding models. Arctic Embed 2.0 builds on the robust foundation of our previous releases, adding multilingual support without sacrificing English performance or scalability.
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🚀 I am thrilled to introduce @SnowflakeDB 's Arctic Embed 2.0 embedding models! 2.0 offers high-quality multilingual performance with all the greatness of our prior embedding models (MRL, Apache-2 license, great English retrieval, inference efficiency) https://t.co/hEcd0niVyr🌍
snowflake.com
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Get up to speed on our latest AI innovations 🏎️ Our Head of AI @barisg joins @jacobeffron on the Unsupervised Learning podcast for a deep dive into our AI ecosystem 🎧
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#Snowflake Cortex Analyst is now available, an agentic AI system for self serve analytics, achieving a remarkable 90%+ SQL accuracy, almost 2x better in text-to-SQL accuracy than GPT4o. https://t.co/flS5e3wcgr
venturebeat.com
In the private preview, about 40-50 enterprises, including pharma major Bayer, deployed Cortex Analyst to talk to their data and accelerate analytical workflows.
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It was great to chat with the awesome @ttunguz about enterprise AI. Thank you for hosting me Tomasz!
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#Snowflake's genAI platform Cortex is now generally available, with a large set of models from Snowflake, Facebook, Mistral and Reka.
Industry-leading LLMs, Generative AI in SQL Functions, and Improved retrieval is now generally available with #SnowflakeCortex 🎊
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World-class search needs world-class metrics 🚀 And great metrics need to be constantly evolved to avoid overfitting 🤟 As we build out a great search experience at @SnowflakeDB AI research, we are excited to join forces with @lintool and the University of Waterloo 🙌 Our
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Another #SnowflakeArctic update - our document focused model beats #GPT4 in document question answering with an orders of magnitude smaller (so cheaper) model!
Snowflake’s Arctic-TILT model, powering our Document, Al beats GPT-4 with just 0.8B parameters, securing a top spot in the standard benchmark for document understanding DocQVA.
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And #SnowflakeArctic is truly open, with an Apache 2.0 license, and all of our #data recipes and cook books.
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Excited to release #SnowflakeArctic, a state-of-the-art open source foundation model for enterprise tasks like SQL generation, coding, and instruction following. https://t.co/p3AavXrjB1
Introducing Snowflake Arctic. An efficiently intelligent and truly open LLM built by Snowflake.
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#Snowflake is open-sourcing world's best practical embedding model, beating the performance #OpenAI and Cohere text embedding APIs 🚀 These state-of-the-art models, built with Neeva's expertise in search, are now available to download on #HuggingFace. https://t.co/Btg906kDYX
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Reka core model is out with impressive metrics! Excited to partner with @DaniYogatama and the @RekaAILabs team to bring Reka core to @SnowflakeDB #Cortex.
Meet Reka Core, our best and most capable multimodal language model yet. 🔮 It’s been a busy few months training this model and we are glad to finally ship it! 💪 Core has a lot of capabilities, and one of them is understanding video --- let’s see what Core thinks of the 3 body
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Snowflake Copilot, world’s most capable SQL assistant is now available for everyone. Thank you @MistralAI for the close collaboration to achieve state of the art quality!
Snowflake Copilot, a breakthrough AI-powered SQL assistant powered by @MistralAI large is now in public preview @SnowflakeDB!
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