Michał Gdak

569 posts

Michał Gdak

Michał Gdak

@GdakMichal

Technology lover with #fintech #insurtech #mcommerce & #ecommerce focus. Head of Product Delivery @ https://t.co/Q7K8ZqZftD. Father of 2:)

Warszawa, Polska Katılım Nisan 2016
325 Takip Edilen110 Takipçiler
Michał Gdak retweetledi
Snowflake
Snowflake@Snowflake·
One engineer’s chief takeaway after his first year at Snowflake? It’s the sweet spot between building big and moving fast. From major projects to massive launches, get Principal Engineer Staszek Pasko's 360° view on the first 365 days at Snowflake here: bit.ly/4pYmIcf
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Daniel Campos
Daniel Campos@spacemanidol·
Want to know how Snowflake made the artic-embed models better than Open AI's text-embed-3 or Cohere's embed 3? Check out our tech report on Arxiv arxiv.org/abs/2405.05374. 🧵of TLDR findings below.
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Vivek Raghunathan
Vivek Raghunathan@vivek7ue·
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 focus will be on BEIR v2, a rethink of MTEB/BEIR, and TREC-RAG ...
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Reza
Reza@Reza_LOD·
1/4 Have you wondered how to optimize sys-perf for training Arctic-like models (MoE arch)? Let’s dive in! Our first technique: custom fused kernels. By crafting these kernels, we streamline irregular and sparse operators, boosting efficiency. #SnowflakeArctic #SystemOptimization
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Vivek Raghunathan
Vivek Raghunathan@vivek7ue·
A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months. We are going to build #SnowflakeArctic in the open Model arch ablations, training and inference system performance, dataset and data composition ablations, post-training fun, big run stability, decontamination tricks, metric subtleties. To start with the first two blogs in our cookbook, keep reading the 🧵below ...
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Vivek Raghunathan
Vivek Raghunathan@vivek7ue·
<marketing_message> Wonder how to filter web data for high quality? Wonder how you compose the code part of your training data? Read on for what @nathanwiegand and friends did as part of building #SnowflakeArctic ... </marketing_message>
Nathan Wiegand@nathanwiegand

We just published our next blog post in the Arctic Cookbook series about how we generated and managed our training data for Arctic. Up next, we'll talk about getting the most from your hardware. medium.com/snowflake/snow…

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Vivek Raghunathan
Vivek Raghunathan@vivek7ue·
A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months. We promised to build #SnowflakeArctic in the open, and here we are, with the third edition of our cookbook series, this time on data ... Data ablations are the lifeblood of any LLM training run, whether processing, filtering, deduping, data composition, or schedule. To read about our data approach to Arctic, see the blog below
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Snowflake
Snowflake@Snowflake·
Introducing Snowflake Arctic. An efficiently intelligent and truly open LLM built by Snowflake.
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Michał Gdak
Michał Gdak@GdakMichal·
Beating GPT-4 is not an easy task but with a great team of researchers at @SnowflakeDB we managed to get SOTA on a real text-to-SQL task 💪 Benchmarks available on the market for text-to-SQL are way too trivial for real business usage.
Snowflake@Snowflake

Snowflake has combined a fine-tuned Snowflake SQL generation model and @MistralAI state of the art Mistral Large model to create a new text-to-SQL engine for Snowflake Copilot. Read more below: medium.com/snowflake/mist…

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Snowflake
Snowflake@Snowflake·
Snowflake announced our intent to acquire Applica.ai to enable document understanding, which is part of our strategy to mobilize unstructured data for advanced analytics and machine learning. See the blog: snowflake.com/blog/snowflake…
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Michał Gdak
Michał Gdak@GdakMichal·
We are still hiring. If anyone is thinking of making next career move get in touch with me 😎 lnkd.in/ekRg5jB
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