Why Creating a GPT Model from Scratch on a Typical Store-Bought Computer is Not Feasible
Kristian Bainey, M.S, PMP, CSM, Prosci, ITIL,PM-AI ????????
??Published #Author- #1 Best-Seller book "AI-Driven Project Management"??#ArtificialIntelligence #ProjectManagement??#GlobalSpeaker??#QuantumComputing Enthusiast ??Past-President #PMINAC??#Lecturer??#IT
I've received many questions about the feasibility of creating a GPT model from scratch on a typical store-bought computer. I wanted to share my thoughts on this topic. It's crucial to understand that fine-tuning an existing model and training a model from scratch are very different processes.
Fine-tuning AI Models for organizations provides pre-trained AI models so companies can use AI from the start. Customization of these models for particular needs becomes possible in AI As-A-Service (ALaaS).
Here is a table that explains why it is not feasible to teach a model from scratch from a typical home computer:
Creating a GPT model from scratch requires resources and expertise far beyond what a typical consumer-grade computer can offer. From the enormous data storage requirements to the massive computational power and specialized knowledge needed, this task is reserved for companies with substantial infrastructure and expertise such as OpenAI, Microsoft, Google DeepMind, Meta, etc.
For a deeper dive into AI project management and leveraging AI for productivity, check out my book, AI-Driven Project Management.
COO at Viso | Strategic Partnerships | Accelerating B2B Success with Tailored Tech Solutions.
1 个月Nice one, Kristian!
cool