The growth of the small language model (SLM)
When considering the complexities of making decisions around LLM technology and the slowdown in huge gains of the latest and greatest LLMs, it’s worth introducing the SLM, which has been growing in popularity. SLMs are challenging the notion that bigger is always better and that size is not necessarily everything (pardon the pun). Model size might not be the sole determinant of performance, and factors such as architecture, training data, and fine-tuning techniques play a significant role.
Are LLMs reaching their limit?
As performance levels off, it begs the question: are LLMs reaching their limit? When ChatGPT was first released, we were all universally wowed by its vast knowledge, but subsequent iterations haven’t been as revolutionary. When it comes to training data, improvements have been made as fresher training data has been used with new GPT versions, but in reality, there will always be limitations in LLM data...
