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Very excited about formula prediction being released in Google Sheets! A great collaboration between Google Sheets and Brain team.
Big news: Databricks and @OpenAI are partnering to deliver powerful AI to the enterprise. OpenAI frontier models will now be available natively in Databricks. This means you can build, evaluate and scale production-grade AI apps and agents on your governed enterprise data,…
Prompt optimization is becoming a powerful technique for improving AI that can even beat SFT! Here are some of our research results with GEPA at Databricks, in difficult Agent Bricks info extraction tasks. We can match the best models at 90x lower cost, or improve them by ~6%.
Automated prompt optimization (GEPA) can push open-source models beyond frontier performance on enterprise tasks — at a fraction of the cost! 🔑 Key results from our research @DbrxMosaicAI: 1⃣ gpt-oss-120b + GEPA beats Claude Opus 4.1 on Information Extraction (+2.2 points) —…
The future of data science is autonomous, collaborative, and faster than ever. That's why we're excited to introduce the Data Science Agent for Databricks Assistant, an autonomous partner that plans, executes, and self-corrects entire workflows in your Notebooks and SQL Editor.…
Databricks just signed a Series K term sheet at >$100B valuation to scale two flagship products: 🔥 Lakebase — serverless Postgres with true compute/storage separation 🧠 Agent Bricks — agentic framework with built-in reasoning guardrails for enterprise data…
Try out GEPA! Excited to see how it does on people's problems.
Very excited to share that GEPA is now live on @DSPyOSS as dspy.GEPA! This is an early code release. We’re looking forward to community feedback, especially about any practical challenges in switching optimizers.
Since joining @databricks, our research team has been hard at work on Agent Bricks, a new product that helps enterprises develop state-of-the-art domain-specific agents. We are now releasing a research blog about Agent Learning from Human Feedback (ALHF) databricks.com/blog/agent-lea…
More details in the blog: databricks.com/blog/power-rlv… This work was led by @DipendraMisra with contributions from many others. If you're interested in taking this for a spin yourself, sign up here: docs.google.com/forms/d/e/1FAI…
RLVR isn't just for math and coding! At @databricks, it's impacting products and users across domains. One example: SQL Q&A. We hit the top of the BIRD single-model single-generation leaderboard with our standard TAO+RLVR recipe - the one rolling out in our Agent Bricks product.
This is a good opportunity to announce that I recently joined the research team at @databricks where I will be working alongside @jefrankle @rishabhs @matei_zaharia Erich Elsen, and many others on the hardest problems at the intersection of information retrieval and AI.
I'm at ICML 🇨🇦 and I'm hiring at @databricks. Visit our booth if you're interested. My scientific focus: It's 1972 in AI, there's an AI crisis, Dijkstra isn't here to save us, and maybe RL can. Why Databricks? The long road to AGI is being paved here and we have the real evals 🧵
I'm at ICML 🇨🇦 and I'm hiring at @databricks. Visit our booth if you're interested. My scientific focus: It's 1972 in AI, there's an AI crisis, Dijkstra isn't here to save us, and maybe RL can. Why Databricks? The long road to AGI is being paved here and we have the real evals 🧵
We're finding that what's needed in RL for enterprise tasks is pretty different than in foundation model training on math, code, etc. Catch @jefrankle and our team at ICML to talk about these problems!
Properties of our problems: * Semi-verifiability. Can LLM judges productively augment RLVR? How clean must they be? * Intermediate rewards. Signals we can exploit to make harder tasks tractable. * Real traces. Tons of human traces for imitation learning or environment building.
I'm super excited to share that I recently joined the @databricks AI research team to help with AI for data science efforts. We are working on real-world AGI to help customers succeed on the Databricks platform. We are hiring, please join us in this exciting mission!
I'm at ICML 🇨🇦 and I'm hiring at @databricks. Visit our booth if you're interested. My scientific focus: It's 1972 in AI, there's an AI crisis, Dijkstra isn't here to save us, and maybe RL can. Why Databricks? The long road to AGI is being paved here and we have the real evals 🧵
Excited to share the project #AlphaCode I’ve been working on for more than 2 years! Can’t believe we started before COVID is a thing and worked through this project mostly at home, with an amazing team!
Introducing #AlphaCode: a system that can compete at average human level in competitive coding competitions like @codeforces. An exciting leap in AI problem-solving capabilities, combining many advances in machine learning! Read more: dpmd.ai/Alpha-Code 1/
Hey, ML/PL enthusiasts! Looking for some "light" reading for the holiday break? FnT just published our survey on "Neurosymbolic Programming", written jointly with @swarat, Kevin Ellis, @rishabhs, Armando Solar-Lezama, and @yisongyue. nowpublishers.com/article/Detail…
Congrats to my brilliant student @xinyun_chen_ and her collaborators @GoogleAI for bringing deep-learning based program synthesis to Google Spreadsheet: ai.googleblog.com/2021/10/predic… ! Really impressive progress in neural program synthesis since just a few years ago when we started!
A brief writeup on our new formula prediction feature in Google sheets.
Spreadsheet formulas help users apply sophisticated analyses and powerful transformations to data, but writing formulas can be tedious and error-prone. Today we describe how #ML can make writing formulas easier by automatically generating them ↓ goo.gle/2Z5INh1
Excited to share🎺 our work on using #ML to automatically generate spreadsheet formulas 📈. Main idea: Represent context from data in adjacent cells and header row using transformers 🤖
Spreadsheet formulas help users apply sophisticated analyses and powerful transformations to data, but writing formulas can be tedious and error-prone. Today we describe how #ML can make writing formulas easier by automatically generating them ↓ goo.gle/2Z5INh1
I am super excited to see that our SpreadsheetCoder work (arxiv.org/abs/2106.15339) leads to the release of formula prediction in Google Sheets (workspaceupdates.googleblog.com/2021/08/intell…)! A huge thanks to the Brain team and Google Sheets team for the great collaboration!
Very excited about formula prediction being released in Google Sheets! A great collaboration between Google Sheets and Brain team.
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