Tackling challenges with LLM solutions

Tackling the pesky challenges that LLMs face is key to unlocking their full potential and making them our trusty tools or sidekicks in solving real-world problems. Only by tackling these challenges can an LLM solution be formed objectively and effectively. In this section, we’ll dive into various complementary strategies that can help us tackle these challenges and boost the performance of LLMs by its high-level issue type. We will start with output and input limitations.

Tackling the output and input limitation challenge

Navigating the output and input limitation challenges is vital for unlocking the full potential of LLMs, allowing them to efficiently process diverse data types, formats, and context sizes while delivering accurate and reliable results. The solutions are as follows:

• Customized pre-processing: Design tailored pre-processing techniques to transform non-text data into a format that can be efficiently processed...