Choosing the Right LLMs & Fine-Tuning for Text Summarization & Code Generation?

This blog discusses choosing the right large language model (LLM) for text summarization and code generation tasks, as well as how to fine-tune them using MonsterAPI. It provides a step-by-step guide on selecting suitable LLMs like LLaMa, Gemma, Falcon, Mistral 7B & Mixtral, CodeLlama, and LLaMa 3.1 for specific use cases. The process involves narrowing down model choices, evaluating pre-trained models, fine-tuning the selected model, and testing and iterating to achieve optimal results.

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