
Data Brew by Databricks
@databrew_db
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Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter ex
Joined February 2021
๐ง Watch the full Data Brew episode: ๐น Apple โ https://t.co/bzkIRQ2Tzk ๐น Spotify โ https://t.co/m0TjR8Hf4K ๐น YouTube โ https://t.co/PefguQxyzI
#DataBrew by @Databricks is hosted by Brooke Wenig and @DennyLee. โ #databricks #rewardhacking
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In our latest episode, @TravisAddair explains how curriculum learningโstarting with simpler examplesโand scoring methods like partial credit can help steer AI models toward correct solutions, where reward hacking is a risk. Full #DataBrew episode โ links in the reply โคต๏ธ
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The โone model to rule them allโ era is fading. On the latest episode of the @databrew_db podcast, our CTO & Co-founder @TravisAddair, and show hosts @dennylee and Brooke Wenig, sat down for some hot coffee and tea and to chat about why #specialized AI models are winning and
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Data Brew by @databricks is hosted by Brooke Wenig and @dennylee. โ
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๐ฃ New Data Brew Episode! We talk with @TravisAddair (@predibase) about how their new reinforcement fine-tuning platform is changing the way we create specialized AI. ๐น Apple: https://t.co/bzkIRQ2Tzk ๐น Spotify: https://t.co/x6P55LqTqV ๐น YouTube: https://t.co/PefguQxyzI
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When it comes to enterprise AI, thereโs a gap between research and real-world deployment. Databricks Staff Research Scientist Dipendra Kumar and Staff Software Engineer Alnur Ali discuss the challenges of real-world AI (messy data, security, stability), new tools being
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Donโt miss this one at #DataAISummit (June 9-12)! ๐ If youโre interested in agentic AI and practical tools for developers, be sure to catch this session!๐ Check out the details below. ๐ฅ Sneak peek: Data Brew episode with Kilian: https://t.co/g8pDbjQWQB
#databrew #databricks
๐ #DennysPick ๐ I recently had the chance to virtually sit down with @KLieret from Princeton University on @databrew_db (check it out: https://t.co/a18xwxywmA), and wow - heโs doing some seriously cool work! We geeked out over SWE-bench and SWE-agent, two groundbreaking tools
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.@DipendraMisra and Alnur Ali explore the challenges of applying AI in enterprise environments and the tools that are helping to bridge the gap between cutting-edge research and real-world deployment. โOne of the biggest challenges in making LLM-powered systems real is scale,
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๐ง Watch the full Data Brew episode: ๐น Apple โ https://t.co/8hLzsC0642 ๐น Spotify โ https://t.co/JHytVkQaxS ๐น YouTube โ https://t.co/zqxtGtE6U5 Data Brew by @Databricks is hosted by Brooke Wenig and @DennyLee. #databrew #databricks #benchmarking #DIBS
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โBenchmarks should reflect the kinds of things customers actually care about.โ In this clip, Pallavi Koppol shares why @databricks, created DIBS, a domain-specific benchmark designed to evaluate models on real-world tasks like RAG, text-to-JSON, and function calling.
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๐ง Listen on your favorite platform: ๐นApple โ https://t.co/8hLzsC0642 ๐นSpotify โ https://t.co/i721KVzMmi ๐นYouTube โ https://t.co/zqxtGtE6U5 Data Brew by @databricks is hosted by Brooke Wenig and @Dennylee. #databricks #llm #enterpriseai
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๐ New #DataBrew episode: Benchmarking LLMs for Enterprise AI Pallavi Koppol (@Databricks) breaks down why domain-specific benchmarks matterโand how the Databricks Intelligence Benchmarking Suite (DIBS) helps evaluate models on real-world tasks like RAG & function calling.
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@databricks ๐ง Listen on your favorite platform: ๐น Apple โ https://t.co/l7QOIICFaM ๐น Spotify โ https://t.co/EoobZqo4oQ ๐น YouTube โ https://t.co/nVb6YSlA27 Data Brew by @databricks is hosted by Brooke Wenig and @dennylee. #databrew #databricks #enterpriseai #genai
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In this episode, Dipendra Kumar and Alnur Ali (@Databricks) explain why high-accuracy, fine-tuned models are essential for enterpriseโand how tools like QuickFix help bridge the gap between research and real-world deployment.
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๐ฌ โThereโs a shift from โone model to rule them allโ to smaller, task-specific models. General LLMs perform wellโbut for enterprise, fine-tuned models offer better accuracy at lower cost.โ โ Dipendra Kumar, Staff Research Scientist at @Databricks
#databrew #databricks
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Check out the full episode! โฌ๏ธ ๐ง Apple: https://t.co/KqvSoBVbWI ๐ง Spotify: https://t.co/DjWtahafpE ๐ฅ Youtube: https://t.co/g8pDbjQWQB Data Brew by @Databricks is hosted by Brooke Wenig and @dennylee. โ
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๐ฃ ๐ก๐๐ช #๐๐ฎ๐๐ฎ๐๐ฟ๐ฒ๐ ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ! In this episode, Kilian Lieret (Research Software Engineer) & Carlos Jimenez (Computer Science PhD Candidate) at @Princeton dive into SWE-bench & SWE-agent, two cutting-edge tools for evaluating & enhancing AI in software engineering.
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๐ Curious about how QuickFix works under the hood? Check out this new blog to explore how fine-tuning with your own data is driving better coding assistance and enterprise-ready AI. https://t.co/Jmta5iEXqh
#databricks #databrew #finetuning #llms
databricks.com
Discover how fine-tuning small open-source LLMs on interaction data enables faster, cheaper, and more accurate code fixes with Databricks Quick Fix.
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LISTEN NOW โคต๏ธ ๐ง Apple: https://t.co/l7QOIICFaM ๐ง Spotify: https://t.co/dWzQ5nZJpW ๐ฅ Youtube: https://t.co/nVb6YSlA27 Data Brew by @databricks is hosted by Brooke Wenig and @dennylee. #databricks #databrew
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๐ก๐ฒ๐ ๐๐ฎ๐๐ฎ ๐๐ฟ๐ฒ๐ ๐๐ฝ๐ถ๐๐ผ๐ฑ๐ฒ ๐๐๐๐ ๐๐ฟ๐ผ๐ฝ๐ฝ๐ฒ๐ฑโ๏ธ In this episode, Dipendra Kumar & Alnur Ali (@Databricks), discuss the challenges of applying AI in enterprise environments & the tools being developed to bridge the gap between research & real-world deployment.
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