But the devil is in the details—how can you get them right?
The ability to match or exceed GPT-4 performance on a 7B cannot be overstated - something that also tends to help is a fine-tuned models ability to consistently produce outputs in the correct format. System instructions only do so much...
Are there any studies available in the impact of lora weights on inferencing performance, e.g. ttft or tpot?
The ability to match or exceed GPT-4 performance on a 7B cannot be overstated - something that also tends to help is a fine-tuned models ability to consistently produce outputs in the correct format. System instructions only do so much...
Are there any studies available in the impact of lora weights on inferencing performance, e.g. ttft or tpot?