Great insights from @matei_zaharia on data intelligence and governance in #GenAI. Watch the full convo with @qAmbard and @YoussefMrini as they discuss the challenges + opps for enterprises leveraging #LLMs https://
bit.ly/3W1lEYv
DATA
-
Data Intelligence and Governance for Enterprise LLMs
By
–
-
Daily content sharing on Python, Data Science, and Machine Learning
By
–
That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
-
Smithsonian Institution Leverages AI for Data-Driven Insights
By
–
The Smithsonian Institution is stepping into the future with data-driven AI projects. Mike Trizna of the Smithsonian Data Science Lab is leveraging AI to transform the Smithsonian's wealth of data into actionable insights. https://
buff.ly/3UE0sqa -
Key Metrics for Time Series Modeling and Regression
By
–
important metrics for time series modeling and regression models
-
Tactile Glove Devices: Data Collection Design and Feasibility
By
–
The new efforts to collect touch data with gloves are very exciting, e.g. https://
manus-meta.com and https://
pressureprofile.com/body-pressure-
mapping/tactile-glove
… How hard is it to design and build these devices? It feels that once they become cheap enough, humans (NOT robots) can be paid to collect enough data to -
LLMs as Compression: Underrepresented Languages Challenge
By
–
> This also means that languages that are not well represented online typically aren't able to be compressed well you havent referred to the idea of llms as compression anywhere prior in the post overall good article!
-
GPU and Disk Constraints: Need for Smaller Dataset Variants
By
–
I'm not only GPU poor but disk poor too. 350GB?
(And ofc doing so wouldn't be representative of the full data distribution)
Also while replying, ideally there could be a "dataset miniseries", e.g. 1B, 10B, 100B, and then full. I think would be very helpful and bandwidth saving. -
Data AI Summit Lightning Talks: Leaders Share Implementation Strategies
By
–
Have you seen the lineup for our #DataAISummit lightning talk sessions? Hear from leaders like @providence
, @Nextdoor
, & @adobe about how they're implementing data & AI into their businesses and leveraging industry-specific use cases. Register now: https://
bit.ly/3UlaDA7 -
Weak Supervision in AI: Automation and LLM Integration
By
–
Explore the future of weak supervision in AI and get in-depth insights on automating the weak supervision pipeline, multimodal integration, and the intersection of weak supervision with large language models. https://
buff.ly/4b0h9BS -
SQLite-utils tool for extracting strings into lookup tables
By
–
I wrote a tool for pulling strings like that out into a lookup table https://
sqlite-utils.datasette.io/en/stable/cli.
html#cli-extract
…