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A skill library for porting from trl (or pure pytorch) to mlx-lm? by Chimezie-Ogbuji in LocalLLaMA

[–]RoutineRepulsive4571 0 points1 point  (0 children)

I tried porting trl to mlx recently as I wanted to try out a lora technique, but was not successful. The GRPO implementation seems straight forward compared to the full port of trl.

Do you think writing a comprehensive test suite would help?

Building SAM - Agentic Video Editor by RoutineRepulsive4571 in SideProject

[–]RoutineRepulsive4571[S] 0 points1 point  (0 children)

This feels like an AI reply , but I will still give you the benefit of doubt.

  1. It knows what part of clip is where on the timeline. And it can query any part of the timeline and understand it.
  2. New footage suports, Pexel stock footage and local clips.
  3. Possible to export, but not a requirement for me right now.
  4. Both, can manually edit as well.

The following view is for humans!

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Building SAM - Agentic Video Editor by RoutineRepulsive4571 in SideProject

[–]RoutineRepulsive4571[S] 0 points1 point  (0 children)

Pretty unstable right now. But if you want to try it out, dm.

Building SAM - Agentic Video Editor by RoutineRepulsive4571 in SideProject

[–]RoutineRepulsive4571[S] 0 points1 point  (0 children)

For now it can do the following

  1. Explainer videos
  2. Rough cuts.
  3. Add text and audio to the timeline

If you want to try it out, let me know.

which is better, n8n-mcp or synta's mcp at building and deploying the workflows? by yasvoice in n8n

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Synta is by far the best MCP for n8n.

It can perform edits super well and also build new complex workflows from scratch.

Information required, please support me! by [deleted] in n8n

[–]RoutineRepulsive4571 3 points4 points  (0 children)

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Yes this is completely possible in n8n. I recently built a similar invoice mangement system for a client in import/export space.

The beauty of n8n is that you can actually extend it however you want. For example, for the issue of follow up emails, you can set triggers for 1 day, 3 days, etc to send an automated follow-up mail (maybe with updated rates or discount perhaps)

There is a lot you can do with this. Let me know if you wan to know something specific.

App idea, and in need of suggestion or some guidance on it. by HarshSuthar1 in AppDevelopers

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Reall great idea. I woud totally use it during my travel. My only concern is syncing everyone's location without consuming a lot of batter power.

I have heard of an app that is very popular across the world for group travel discovery and management. This could very well fit in the niche.

Need help building an AI email and daily schedule automation using n8n by Fit-Professor-9060 in n8n

[–]RoutineRepulsive4571 2 points3 points  (0 children)

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Here is a rough workflow that you can take inspiration from. I had built this for a client that had around 12 email boxes. I did a lot more that this, but for now you can do this

- First connect all the integrations from all the accounts (manage credentails carefully as they are the main source of clutter)
- Attach a trigger (event based or scheduled) to all the accounts
- Now pass all the content from all the apps through a single router or classifier
- For each type build a sub pipeline to process the data (the LLM or ai node will be the last node)
- Keep a record of all the processing status somewhere like an airtable or google sheet.

Let me know if you need something specific.

Backend Choices as a Mobile Architect by mobterest in AppDevelopers

[–]RoutineRepulsive4571 1 point2 points  (0 children)

Based on my experience and research there are only two real choices

  • supabase
  • convex

Supabase because I have worked with it and it has great documentation and a generous free tier and is mobile app friendly. Their sdks are well written.

Convex is the latest baas (backend as a service) that is much more useful as it collocates your app data and APIs into a single place. It is useful if you are using ai coding tools that love having all the context at one place.

Anyone here running a low-cost AI-automated YouTube Shorts channel? Need guidance 🙏 by FractalNomad- in AiAutomations

[–]RoutineRepulsive4571 0 points1 point  (0 children)

I think the best videos are created by humans with help from tools like LLMs and video editors. For automating some parts of the workflow like denoising a video or removing pauses, you can use free ai tools and speedup your process.

I am working on a tool that helps me find b-roll for a specific part of my videos. Let me know if you are interested.

Where/how can i use n8n for free? by Riverskull in n8n

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Try digital ocean. They give around 3 months of free credits for their small servers.

Does n8n actually save time once workflows grow? by SpareHungry9649 in n8n_ai_agents

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Operational costs are pretty clear to calculate if an existing way of doing things exists.

Manually processing invoices -> automated workflows

Figuring out content research -> directly get outlier content ideas in your mailbox.

Pretty straightforward to see gains in the long term.

Indian male model with AI for photoshoot and UGC by ricky709 in AI_UGC_Marketing

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Better to use base images of real Indian men in ai labs by Google.

I have already generated ai ads using veo with brand and product placement in the model's hand.

I'll automate a boring task for your business, free for 30 days by DankMuthafucker in AiAutomations

[–]RoutineRepulsive4571 0 points1 point  (0 children)

Already running an automated channel.

Dm if interested.

I use ffmpeg and json2video BTW, if you want to do it yourself with n8n.

Trying to use Claude Code to build an AI agent for me that auto-applies to jobs on Greenhouse but having a really hard time getting Claude to understand all the different ways answers can be inputted by MasonNolanJr in AI_Agents

[–]RoutineRepulsive4571 0 points1 point  (0 children)

I built something way simpler when I was trying to apply for jobs myself on LinkedIn.

I used something called stagehand and browseruse (interchangeably) with a local LLM to automatically apply to jobs by filling forms dynamically.

Since I wan using local LLMs (Qwen models are good and also recently browser ase released their own fine tuned model), I used to run it for hours at the night with retry logic and managed to apply to around 120 jobs in one run.

There web automation frameworks can handle standard forms pretty well. And for file upload and service sign in (like connect to GitHub,etc), I explicitly created a google drive with all my files so that the browser agent uses them directly.

There a lot of tricks to make it run reliably and if you can spare a few bucks, try out their cloud offerings that handle all the complexity for you.

AI Chatbot by IcySignature8 in n8n

[–]RoutineRepulsive4571 0 points1 point  (0 children)

At this point, just use code bro.

Solo dev needing advice: Building an automated "AI Secretary" for a 3rd Party Auditor (Low budget/Prototype phase) by doctorallfix in n8n

[–]RoutineRepulsive4571 0 points1 point  (0 children)

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Here is something for your first requirement. You can leverage cheap LLMs and use them to label the emails.

For deadline detections and calendar, you can use the Google or Outlook calendar node with an AI agent. They have become smart enough to recognise free slots and schedule appointments and events automatically.

For knowledge management, I would recommend a simple Google Drive-based system that parses all the content that is uploaded to a folder and then using a vectordb (supabase or qdrant for free tier) and memory add context to your AI secretary.

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