Find here DataChain news, findings, interesting reads, community takeaways, deep dive into machine learning workflows from data versioning and processing to model productionization.
In January OpenAI published how it built an internal data agent. Last week Anthropic published how it built one too. Two frontier labs, the same problem, five months apart. Here is the honest side-by-side: what they agree on, where they diverge, and the one assumption they both quietly depend on.
Dmitry Petrov
OpenAI built their in-house data agent for structured warehouse data, where schema, lineage, and queries come for free. Files in S3, GCS, or Azure - videos, sensor logs, image corpora, PDFs - have none of that, and the problems get a lot more interesting. Here is how we built the four foundations that close the gap.
Dmitry Petrov
Neural data like EEG and MRI is never 'finished' - it's meant to be revisited as new ideas and methods emerge. Yet most teams are stuck in a multi-stage ETL nightmare. Here's why the modern data stack fails the brain.
Dmitry Petrov
Parquet is great for tables, terrible for images and video. Here's why shoving heavy data into columnar formats is the wrong approach - and what we should build instead. Hint: it's not about the formats, it's about the metadata.
Dmitry Petrov
LLMs can finally interpret unstructured video, audio, and documents — but they can't do it alone. This post introduces the concept of heavy data and explores how modern teams build multimodal pipelines to turn it into AI-ready data.
Dmitry Petrov
Improved Engineering and Data Management will be what carries GenAI into maturity
Dmitry Petrov
Extract and parse text from documents and create vector embeddings in a scalable and distributed way (and less than 70 lines of code).
Tibor Mach
How and Why Generative AI will change the modern data stack.
Daniel Kharitonov
Learn how to fine tune multimodal models like CLIP to match images to text captions.
Dave Berenbaum
The results of our tests on the structured outputs of Google Gemini Pro, Anthropic Claude, and OpenAI GPT. DataChain used for evaluation.
Daniel Kharitonov
