LLM Academy — Build Your Own AI Assistant — why now

If you are still paying $20 a month for ChatGPT Plus, you are essentially paying a "convenience tax" that is getting harder to justify. Especially when the open-source AI world is moving at a breakneck pace.

Right now, we are seeing a massive shift. Meta’s Llama 3 and Google’s Gemma 2 are performing at the level of proprietary models, but they are completely free to download. Meanwhile, API costs have plummeted by over 90% in the last year. Running a top-tier model through an API for personal use now costs about $0.50 a month, not $20. If you run it locally on your own machine, it costs exactly $0.

The demand for people who can actually set these systems up is skyrocketing. Companies are realizing they don't want to leak private data to OpenAI, and individuals are tired of subscription fatigue. But big tech companies aren't going to hand you a free, private Claude or Gemini setup on a silver platter. They want you locked into their monthly billing cycles.

Building your own AI assistant—one that runs on your computer, respects your privacy, and actually remembers your files—is no longer a sci-fi concept. You don't need a computer science degree to do it anymore; you just need to know how to connect the right pieces. Plus, you finally get to bypass those overly sensitive safety filters. No more paying $20 a month just to have a chatbot lecture you about ethics when you just asked it to draft a slightly firm email to your landlord.

We built the LLM Academy to help you skip the trial and error. We show you how to bypass the subscription trap, set up the best open-source models, and build a fully customized AI assistant for next to nothing.

Course: https://nexus-bot.pro/courses/llm-academy/

Waitlist: https://nexus-bot.pro/waitlist?plan=llm-academy

Originally posted at https://nexus-bot.pro/courses/llm-academy/