6502 and Haskell hacker, machine learner, hypopolyglot (many languages, all poor), opposite Pole, skeptical forteanist
Joined September 2021
- Tweets 204
- Following 609
- Followers 112
- Likes 66
46 Photos and videos
Filip Graliński retweeted
5 Jun 2025
Day 2 of #SnowflakeSummit flew by but not before a mountain of announcements from our Platform Keynote!
We announced: Adaptive Compute, Snowflake Openflow, Cortex AISQL, Semantic Model Sharing, Snowflake Intelligence, and much more.
See what's new: bit.ly/4mNjiqR
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Filip Graliński retweeted
1 Apr 2025
How can the most accurate SQL be generated for a given question?
We propose a method to significantly boost text-to-SQL accuracy while drastically cutting costs.👇
#NLProc #AI #TextToSQL #LLMs
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Filip Graliński retweeted
25 Mar 2025
Our Snowflake AI Research team just released Arctic Embed’s core training code into the open source ArcticTraining project — making it easier for developers and researchers to reproduce, fine-tune, and build on our embedding models. Arctic Embed is the leading small embedding model on the MTEB leaderboard and is widely used with over 1M monthly downloads.
What you’ll find:
✅ Clean, config-driven workflows powered by DeepSpeed
✅ Flexible contrastive data handling
✅ Example fine-tuning recipes and ready-to-use tooling
Read more here and try it out:
snowflake.com/en/engineering…
@SnowflakeDB @DeepSpeedAI @lukemerrick_ @pxyumass @spacemanidol @rajhans_samdani @jeffra45 @StasBekman
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Filip Graliński retweeted
18 Dec 2024
Connor Shorten was kind enough to give me the mic for a lot of hot takes on text embedding models in the latest Weaviate podcast.
18 Dec 2024
Arctic Embed ❄️ has been one of the most impactful open-source text embedding models! In addition to the open model, which has helped a lot of companies kick off their own inference and fine-tuning services (including us), the Snowflake team has also published incredible research breaking down all the components of how to train these models!
I am SUPER EXCITED to publish the 110th Weaviate Podcast with Luke Merrick (@lukemerrick_), Puxuan Yu (@pxyumass), and Charles Pierse (@cdpierse) discussing all things Arctic Embed!
The podcast covers:
• The origin of Arctic Embed
• Pre-training embedding models
• Matryoshka Representation Learning
• Fine-tuning embedding models
• Synthetic Query Generation
• Hard Negative Mining
• Single-Vector Embedding Models in the search model cohort of ColBERT, SPLADE, and Re-rankers
I hope you enjoy the podcast! As always, please reach out if you would like to discuss any of these ideas further!
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Filip Graliński retweeted
5 Dec 2024
We are excited to share SwiftKV, our recent work at @SnowflakeDB AI Research! SwiftKV reduces the pre-fill compute for enterprise LLM inference by up to 2x, resulting in higher serving throughput for input-heavy workloads. 🧵
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Filip Graliński retweeted
4 Dec 2024
🚀 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) snowflake.com/engineering-bl…🌍
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Filip Graliński retweeted
2 Nov 2024
Can AI models help us create better models? 🧵
1/ It's a question that stands at the boundaries of what's possible in data science. We explored how Large Language Models (LLMs) perform as data scientists, especially in the art of feature engineering.
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Filip Graliński retweeted
A joint study by @poznanAI researchers and Samsung Electronics Polska engineers was presented at @FedCSIS 2024. The paper investigates the impact of augmenting spoken language corpora with domain-specific synthetic samples. arxiv.org/abs/2406.07090
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7 Sep 2024
Good people out there, please make your Python script more command-line friendly:
1. put this as the first line: #!/usr/bin/env python3
2. set x permission: chmod u x your_script.py (and commit that to git)
Now you I can run your script with ./your_script.py. Thank you!
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Filip Graliński retweeted
6 Sep 2024
It's fall which means it's intern recruitment time! @SnowflakeDB is widely recruiting research interns to work on all kinds of problems around AI/LLM/Search. If you are interested or know any students who are looking for summer 2025 internships hit me up!
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Filip Graliński retweeted
5 Sep 2024
Code LLMs involve multiple stages of training.
At Snowflake, we did extensive training ablations across general repo data, high quality filtered data, and synthetic instruction data so you don’t have to. 🧵
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Filip Graliński retweeted
2 Sep 2024
Pretty wild that @kaggle got me on the cover! Thanks @InezOkulska for the interview! 😻
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Filip Graliński retweeted
LLM Bielik v2 on our internal benchmark, based on Polish educational and professional tests, achieves an accuracy score of 58.03%. This is a noticeable improvement over the 41,51% in v.0.1. Congratulations to the entire @Speak_Leash team. More extensive results coming 🔜
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28 Aug 2024
This new LLM for Polish looks really interesting, congrats to the team!
28 Aug 2024
The wait is over - Bielik v2 is here!🦅
Here’s what it offers:
💪11B parameters
📈32,768 token context window
🚝Enhanced training data
⌨Improved NLP
🤝Flexible deployment
Made possible through our collaboration with @Cyfronet
Check it out here: bit.ly/472ZwQG
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27 Aug 2024
Some lessons (I) learnt preparing the data mixture for Snowflake Arctic LLM 👨🍳
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27 Aug 2024
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