Using Local LLMs for Programmatic SEO Data Preparation in Google Sheets

UntalkedSEO · Beginner ·🧠 Large Language Models ·2y ago

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

Related Reads

📰
Changes to LLM pricing: Novita and StreamLake
Learn about the pricing changes for Novita and StreamLake LLMs and how they impact your projects
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
Enterprises face an AI context gap, where retrieval-augmented generation lacks trust due to missing or inconsistent context, and a governed semantic layer is needed to fix this issue
VentureBeat AI
📰
The LLM Was the Easy Part: Building a Hybrid RAG API
Learn to build a hybrid RAG API by combining LLMs with retrieval mechanisms for more accurate and informative responses
Dev.to · Abu Hurayra Niloy
📰
NVIDIA NeMo Guardrails: Building Safer, More Controllable LLM Applications
Learn to build safer LLM applications with NVIDIA NeMo Guardrails, a framework for adding programmable safety features to your apps
Medium · LLM
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →