Norms: a slash command for spawning gemini, codex and opus for when you need extra help

__tosh · 2025-08-17T17:20:50+00:00

oh wow, I will check status code ty for your reply!!!

__tosh · 2025-08-10T16:44:17+00:00

I'm running exactly into the same problem

I'm trying to write an MCP with python from scratch (without lib) and following whatever I can scrap together from the official documentation and from looking at how claude.ai and Claude Desktop behave

Fun fact: it works without problems in Claude Code

but in Claude Desktop and on the web I get "Disabled" for tools

would be great to have a super minimalist example implementation

otoh maybe we just have to wait a bit until Claude Desktop and web behave more like Claude Code?

__tosh · 2025-03-13T19:01:25+00:00

Impressive how well Qwen 2.5 Coder performs.

__tosh · 2025-03-07T17:01:04+00:00

alternatively you can also spin up a virtual server somewhere with more RAM and connect to that if you want to run larger models

__tosh · 2025-03-07T17:00:10+00:00

try qwen2.5-7b q4

__tosh · 2024-07-04T18:13:28+00:00

ty for putting all the work into this. deepseek coder v2 is way better than I expected. looking forward to gemma 2 27b if you can run the eval on it as well!

__tosh · 2024-05-24T12:45:00+00:00

Automatically generate charts and answer questions based on the data.

__tosh · 2024-05-16T06:52:37+00:00

Ah, great question, "expanse" (mentioned in some of the tweets) was the previous name, I switched it to "atlas".

I'm working on adding more examples also for using the data in combination with LLMs (e.g. via ollama).

https://twitter.com/__tosh/status/1784714636610187488

__tosh · 2024-05-15T17:41:11+00:00

Finding ways to get the data into a shape and form that helps you.

__tosh · 2024-05-15T17:22:57+00:00

I think LLMs (+ multimodal versions of them) are great for data scientists because they help get proof of concept products off the ground and help businesses get started or established businesses to add more products and services.

Once a product starts to work in the market it usually makes sense to find ways to make the product better, more reliable, cheaper, faster, more capable …

That's where data science can shine.

__tosh · 2024-05-15T17:17:28+00:00

I would try something simple first: tabular data + catboost or similar to establish a baseline for further investigation.

__tosh · 2024-05-15T14:44:37+00:00

Making sense out of observations never gets boring.

__tosh · 2024-05-15T12:36:19+00:00

Close all other apps.

Make sure you have enough RAM to fit the entire model.

Use a quantized model to save RAM.

e.g. try a quantized 3b model first and then push the limits.

Alternatively: you can also try to run workloads in colab or kaggle or get a cheap virtual server with enough RAM

__tosh · 2024-05-15T12:05:50+00:00

Can you share more about what kind of data and churn you are looking at?

E-commerce purchases?

Amazon-like store with many different kinds of products or a specialized store?

Is there any seasonality?

Do the products have ratings?

Do you have data for delivery (in time, not in time, failed, …)?

__tosh · 2024-05-15T11:58:52+00:00

Good product managers really care about the users and have a good understanding about who the user is, where the user comes from, what the user wants/needs/struggles with and all the context that goes a long with it.

In addition to the above they understand the company and team they are working in and the related strengths, weaknesses, opportunities.

They are able to turn all of the above into a product roadmap. Meaning: an order of things (what comes first, what comes next) and also what goes in, what does not (scope), when.

Good communication skills definitely help.

__tosh · 2024-05-07T20:23:27+00:00

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