Presenting your finances to investors via a tool designed for generation of plausible looking data is fraud.
You might have accidentally described what accounting is.
Readit NewsKydlaw commented on Uv and Ray: Pain-Free Python Dependencies in Clusters anyscale.com/blog/uv-ray-... · Posted by u/robertnishihara
Unfortunately uv is usually insufficient for certain ML deployments in Python. It's a real pain to install pytorch/CUDA with all the necessary drivers and C++ dependencies so people tend to fall back to conda.
Any modern tips / life hacks for this situation?
You should give a try to https://pixi.sh/latest/ (I am not involve in the project).
They are a little more focus on scientific computing than uv, which is more general. They might be a better option in your case.
Kydlaw commented on Why we chose LangGraph to build our coding agent qodo.ai/blog/why-we-chose... · Posted by u/timbilt
We explored LangGraph last November and were pleasantly surprised by the difference with LangChain. The framework had much more care put in it. It was much easier to iterate and the final solutions felt less brittle.
BUt the pricing model and deployment story felt odd. The business model around LangGraph reminded us of Next.js/Vercel, with a solid vendor lock-in and every cent squeezed out of the solution. The lack of clarity on that front made us go with Pydantic AI.
Kydlaw commented on Notebooks as reusable Python programs marimo.io/blog/python-not... · Posted by u/akshayka
I discovered Marimo a couple weeks/months ago here iirc. This really lands on a sweet spot for me for data exploration. For me the features that really nails it are the easy imports from other modules, the integrated UI components, and the app mode.
Being able to build model/simulations easily and being able to share them with others, who can then even interact with the results, as truly motivated me to try more stuff and build more. I've been deploying more and more of these apps as PoCs to prospects and people really like them as well.
Big thanks to the team!
In the list that you filtered and hand picked yourself there is literally "War crimes committed in Serbia". The article linked is mentioning a researcher that spoke badly about the US president.
Help me understand how these two things are on same level, please?
Kydlaw commented on Building Effective "Agents" anthropic.com/research/bu... · Posted by u/jascha_eng
I put the agents in quotes because anthropic actually talks more about what they call "workflows". And imo this is where the real value of LLMs currently lies, workflow automation.
They also say that using LangChain and other frameworks is mostly unnecessary and does more harm than good. They instead argue to use some simple patterns, directly on the API level. Not dis-similar to the old-school Gang of Four software engineering patterns.
Really like this post as a guidance for how to actually build useful tools with LLMs. Keep it simple, stupid.
In fact they are mentioning LangGraph (the agent framework from the LangChain company). Imo LangGraph is a much more thoughtful and better built piece of software than the LangChain framework.
As I said, they already mention LangGraph in the article, so the Anthropic's conclusions still hold (i.e. KISS).
But this thread is going in the wrong direction when talking about LangChain
It seems GitLab has a much better experience in this department, but their pricing is hard to justify for us...
Genuinely curious if folks here had better experiences or recommendations for a smooth CI/CD experience.