Using Local LLMs for Programmatic SEO Data Preparation in Google Sheets
Key Takeaways
Uses local LLMs for programmatic SEO data preparation in Google Sheets
Original Description
🎉 GitHub repo with all details: https://github.com/deepakness/ollama-py
A quick video showing how you can locally use LLMs like llama2, mistral, llava, etc. to generate outputs inside your Google Sheets through Apps Script. I am using ollava to run these large language models locally on my computer.
This setup can be a good choice for generating AI content for programmatic SEO projects. But make sure to craft your prompts in a better way.
---------
🎉 Learn more about programmatic SEO: https://untalkedseo.com/
🎉 Follow Deepak on Twitter: https://x.com/DeepakNesss
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: LLM Foundations
View skill →Related Reads
📰
📰
📰
📰
Changes to LLM pricing: Novita and StreamLake
Dev.to AI
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix
VentureBeat AI
The LLM Was the Easy Part: Building a Hybrid RAG API
Dev.to · Abu Hurayra Niloy
NVIDIA NeMo Guardrails: Building Safer, More Controllable LLM Applications
Medium · LLM
🎓
Tutor Explanation
DeepCamp AI