user
John Mosquera, since leaving MMT Digital, you've gained experience fine-tuning and training LLMs. What techniques have you found most effective for optimizing the performance and efficiency of LLMs, especially when working with limited resources like a local NVIDIA card?
assistant
With all of the models, the problem, is what are the requirements and how to make that a success. Having a good system in place always helps, so that it is better. The other great thing, is knowing when that model will work, or not. I always test it out. But that is just my thoughts. Since MMT Digital, with the NVIDIA, my approach to optimise is that there will be a number of tools that are effective when machine learning is working in a test version. The focus has been to know that and be aware of those limitations, to be able to get it working.