Update README.md with distillation + finetuning colab notebook #41
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Added example "Distillation + Finetuning" under subheading Finetuning. The example distills the capabilities of a large model into a small model using Together's finetuning API. Details: I demonstrate how to use Curator to distill capabilities from a large language model to a much smaller 8B parameter model. I use Yelp restaurant reviews dataset to train a sentiment analysis model. I then generate a synthetic dataset using Bespokelabs's curator and finetune a model using Together's finetuning API. The finetuned model shows a 12% improvement in accuracy while being 14x cheaper than LLM
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Added example "Distillation + Finetuning" under subheading Finetuning. The example distills the capabilities of a large model into a small model using Together's finetuning API. Details: I demonstrate how to use Curator to distill capabilities from a large language model to a much smaller 8B parameter model. I use Yelp restaurant reviews dataset to train a sentiment analysis model. I then generate a synthetic dataset using Bespokelabs's curator and finetune a model using Together's finetuning API. The finetuned model shows a 12% improvement in accuracy while being 14x cheaper than LLM