Welcome to EasyLLM blog
In this blog article, we'll walk you through the process of finetuning Large Language Models for classification tasks using EasyLLM's EasyFinetuner. Better performance than GPT-4, but at a fraction of the cost!. We'll demonstrate how to finetune LLMs from various providers, such as OpenAI, Cohere, and AI21 Studio, without writing a single line of code.
In this blog post, we will discuss the importance of defining custom metrics for measuring the performance of finetuned large language models.
Finetuning large language models is a powerful technique for harnessing full power of LLMs. However, finetuning requires careful selection and tuning of hyperparameters to achieve optimal performance.
When it comes to finetuning large language models for developing AI solutions, one essential step is data splitting. A careful and well structured data split strategy is a key ingredient for finetuning.