JARVIS VS readyset

Jarvis: github.com/microsoft/JARVIS

You can build it yourself now. https://github.com/microsoft/JARVIS

https://github.com/microsoft/JARVIS (when ready says >=24GB VRAM)

Can be. There are projects that run fully locally like Microsoft’s Jarvis. https://github.com/microsoft/JARVIS

JARVIS, a system to connect LLMs with ML community (https://github.com/microsoft/JARVIS)

HuggingGPT is a clever idea to boost the capabilities of LLM Agents, and enable them to solve “complicated AI tasks with different domains and modalities”. In short, it uses ChatGPT to plan tasks, select models from Hugging Face (HF), format inputs, execute each subtask via the HF Inference API, and summarise the results. JARVIS tries to generalise this idea, and create a framework to “connect LLMs with the ML community”, which Microsoft Research claims “paves a new way towards advanced artificial intelligence”.

- Some platforms like Supabase Realtime [3] and Firebase offer subscription models to database changes, but these solutions fall short when dealing with complex queries involving joins or group-bys.

My vision is that the modern frontend to behave like a series of materialized views that dynamically update as the underlying data changes. Current state management libraries handle state trees well but don't seamlessly integrate with relational or graph-like database structures.

The only thing I can think of is to implement it by myself, which sounds like a big PITA.

Anything goes, Brainstorm with me. Is it causing you headaches as well? Are you familiar with an efficient solution? how are you all tackling it?

[1] https://readyset.io/

Postgresql + MySQL Cache https://github.com/readysettech/readyset

I just wanted to give a high five for having Jepsen tests for this: https://github.com/readysettech/readyset/tree/stable-240117/...

This example is a great use case for partial incremental view maintenance systems like ReadySet: you automatically get something like the “prepopulating the cache” section (toward the end of the blog) while only caching the data the application is using, and avoiding the need to manually implement any sort of invalidation logic.

(Disclaimer: I used to work for them, but don’t anymore. It’s all available for free on GitHub though for anyone interested: https://github.com/readysettech/readyset)

There are systems that will do that for you like https://readyset.io/.

ReadySet

readyset.io is the company that jonhoo was associated with for work on noria

Might be interesting to try out https://readyset.io for this use case.

On the caching topic, I found the ReadySet(né Noria) approach to be extremely interesting.