@rosmine i thought if we could train on our own writing pieces for making it sound more written by oneself
but yeah the training data, will be too less to teach llm
Massive release here!
First, MCP. Then, A2A. Now, we have a new AI protocol.
AG-UI is the Agent-User Interaction Protocol. This is a protocol for building user-facing AI agents. It's a bridge between a backend AI agent and a full-stack application.
Up to this point, most agents are backend automators: form-fillers, summarizers, and schedulers. They are useful as backend tools.
But, interactive agents like Cursor can bring agents to a whole new set of domains, and have been extremely hard to build.
But not anymore!
If you want to build an agent that co-works with users, you need:
• Real-time updates
• Tool orchestration
• Shared mutable state
• Security boundaries
• UI synchronization
AG-UI gives you all of this.
It’s a lightweight, event-streaming protocol (over HTTP/SSE/webhooks) that creates a unified pipe between your agent backend (OpenAI, Ollama, LangGraph, custom code) and your frontend.
Here is how it works:
• Client sends a POST request to the agent endpoint
• Then listens to a unified event stream over HTTP
• Each event includes a type and a minimal payload
• Agents emit events in real-time
• The frontend can react immediately to these events
• The frontend emits events and context back to the agent
Check the link to the protocol in the next post:
Hello everyone 👋
We just launched this app on the Play Store: https://t.co/ONVAUXBWIP
Would love to know what you think.
If you’re on Apple(coming soon), no worries—feel free to share it or check out our site! (https://t.co/UzX9qSoEsl)
need to do fine tuning --
one option is rag but sometime it does not understand the overall documents
The other is fine tuning the pretraged weights but this needs a high amount of training data to make it more inclined to "new dataset"
Don't know what's the right middle.
@Slothenater Netflix example is removing decision making cause it makes people difficult which is very subtle to decide.
But your another example of ballot bin is adding a decision making...
this two example contradicts
can you please explain this part ??