Working in ML right now is like having Christmas or a birthday every day x.com/GuillaumeLampl…

Fine-tuning with the right data for your use trumps selecting exactly the right model. And can make a tiny model outperform a larger generalist model with lower latency and cost Kaggle datasets covers a huge range of niche use cases as starting points for finetuning

This. Breaking through a lot of default bureaucratic process where appropriate critical to integrating Kaggle effectively into Google

For all the marketers that want to slap AI on a product name: as soon as I see "AI" in a product, I assume it's not going to work as advertised

SQL is the one use for the legacy CAPS LOCK key

Admin consoles have their own circle of UX hell. If you can read this Google GSuite admin setting and tell me the difference between "Trusted" and "Limited", your English understanding is much better than mine

I was born into the first computer-native generation My 2yo son’s in the first AI-native generation

Close to 100% of machine code is now compiler-written. Higher levels of abstraction are how we move forward, faster

10 data quality challenges in relational tables: 1. Duplicates 2. 3. Duplicates 4. Cḧarαctěr Énçødïng 5. 1/1/24 (ambiguous dates) 6. 7am (ambiguous times w/o timezones) 7. John A. Smith, john smith (fuzzy joining) 8. asdfasdfa junk record 9. Company: Apple Url:

The overlooked GenAI use case: cleaning, processing, and analyzing data. blog.sumble.com/the-overlooked… Job post data tell us what companies plan to do with GenAI. The most common use case is data analytics projects. Examples: - AstraZeneca: using LLMs on freeform documents to

Fast hack to improve the factual accuracy of your LLM calls? Multi-LLM and consensus (e.g. majority voting) across them among the leading foundation models

Looking at job posts over the last year, it looks like Amazon is making the broadest AI investment. 228 teams across the company posted jobs with GenAI projects over the past year, considerably more than any other company. blog.sumble.com/companies-with… Most interest is the breadth of

Marimo's a delight to use for both exploratory Python notebooks and rapidly prototpying reactive data applications with a rich UI. It's replaced Jupyter notebooks for me. Excited to see what Akshay and team build from here!

Just had the most obnoxious interaction I’ve had in a long time Jogging in quiet Palo Alto neighborhood. Middle-aged man and woman block away walking towards me Half a block away they start screaming “RUN ON THE FUCKING STREET SIDEWALKS ARE FOR WALKING NOT RUNNING. GET OFF THE

NLC: natural language cron

Getting a bunch of 429 rate limit errors with a quota exceeded message from OpenAI's API, in spite of being well under quota and published rate limits

Buzz: AI is going to imminently replace software engineers Reality: all the latest models invent duckdb json functions when trying to extract fields from json data in a duckdb file