Summary
In this chapter, we discussed the concept of LLMs. We explored how models such as T5 can generate diverse responses when given different prompts. Additionally, we successfully trained LLaMA, an open-source language model, using the PEFT and quantization techniques. Although we didn’t extensively delve into LLMs in this chapter, we touched upon them to some extent. Looking ahead, the next chapter will delve into explainable artificial intelligence, specifically from the perspective of natural language processing.
