H2O LLM Studio

What this post added

This post introduces H2O LLM Studio, a no-code fine-tuning framework for creating custom LLMs and SLMs. It details the training stages and data mixes used for H2O-Danube3-4B, highlighting the benefits of SLMs (cheaper, faster, more customizable) over LLMs. It also outlines various fine-tuning techniques supported by the studio, such as instruction/chat fine-tuning, causal classification/regression, and DPO/IPO/KTO optimization.