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IT Tools: AI & AI-Assisted Development

Run AI Models on Your Own Laptop

Compare Ollama, LM Studio, llama.cpp and more, then build live: run a local model and put an OpenAI-compatible API in front of it.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpIT TOOLS: AI & AI-ASSISTED DEVELOPMENTRun AI Models onYour Own LaptopFREE WEBINAR TOPIC · VOTE

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1The real problem: data privacy concerns and API costs
  2. 2The tool landscape: Ollama, LM Studio, llama.cpp, vLLM, Open WebUI, LiteLLM — what each is for and where they overlap
  3. 3How to choose: team size, integrations, where your data lives, and today's pricing and availability (checked live, not from memory)
  4. 4Live practical task: Run a local model and put an OpenAI-compatible API in front of it
  5. 5Build the reusable output together: Local AI setup guide
  6. 6When you don't need a new tool at all, then live Q&A on your own setup

Who it's for

  • • Students and developers who want hands-on practice with real tools

You'd leave with

  • Local AI setup guide
  • A shortlist of 2–3 options from Ollama, LM Studio, llama.cpp, vLLM and others, with the criteria to pick one
  • Hands-on practice: run a local model and put an OpenAI-compatible API in front of it

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