Unsloth & SDPA Integrated in MonsterAPI for 2x LLM Finetuning Performance Boost

MonsterAPI has integrated Unsloth and SDPA into its no-code LLM finetuner, resulting in a 2x performance boost for large language models (LLMs). Unsloth is designed to combat the inefficiencies often present in large language models by streamlining processes, reducing computational costs, improving model performance, and enhancing scalability. SDPA, on the other hand, is a key component of Transformer models that computes attention scores between queries and key-value pairs, allowing models to focus on relevant parts of the input sequence. By integrating these technologies into its LLM finetuning workflow, MonsterAPI has significantly enhanced performance speed and context length for bigger use cases where more tokens are required for the context.