OpenAI Launches Fine Tuning for ChatGPT in Massive Update

Cost Breakdown

The cost breakdown for fine-tuning ChatGPT is a crucial aspect of its implementation. Jaeden Schafer explains that the costs are divided into initial training and usage costs. Training costs are $0.08 per 1,000 tokens, while usage input and output costs are $0.012 and $0.016 per 1,000 tokens, respectively 1. For instance, a fine-tuning job with 100,000 tokens trained for three epochs would cost approximately $2.40.

I think this is incredibly interesting, great timing and this is going to be a very, very exciting innovation to see how this plays out into really a lot of businesses and software that we're going to see.

--- Jaeden Schafer

These costs, while present, are seen as worthwhile investments for businesses seeking to leverage the enhanced capabilities of GPT models.

   

Pricing Comparisons

Pricing comparisons between GPT 3.5 turbo and other models like GPT 4 highlight potential savings. Jaeden notes that GPT 3.5 turbo offers the speed of GPT 3.5 with the power of GPT 4, making it a cost-effective alternative 1. This model is expected to save money, as it provides similar performance to GPT 4 at a lower cost.

If you can get GPT 3.5 to be just as good as GPT four and GPT 3.5 is cheaper, then, you know, it's, you're, you can save money.

--- Jaeden Schafer

The anticipation of fine-tuning capabilities for GPT 4 further adds to the excitement, as it promises even more efficient and powerful AI solutions.