Crafting Custom Metrics for Measuring Performance of Finetuned Large Language Models
In this blog post, we will discuss the importance of defining custom metrics for measuring the performance of finetuned large language models.
Finetuning
Hyperparameter Tuning for finetuning 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.
Data Splitting: A Key Ingredient for finetuning Large Language Models
When it comes to finetuning LLMs, one essential step is data splitting. A careful and well structured data split strategy is a key ingredient for finetuning.
Finetuning Large Language Models for Binary Classification
In this blog article, we'll walk you through the process of finetuning LLMs for classification tasks using EasyLLM. 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.