Why LLMs Aren't Enough: The Need for Specialized AI Agents
In the last year, we've witnessed a surge in the usage of Large Language Models (LLMs), advanced AI systems capable of understanding and generating human-readable text. It's no surprise, given their versatility in what they can do, from explaining complex concepts to aiding developers in debugging code or even concocting yummy recipes for your next meal. These models can comprehend prompts written in human-readable language, akin to speaking with a knowledgeable mentor and receiving intelligible responses.
Despite their diverse applications, LLMs currently have limitations in handling complex tasks that require accessing current or dynamic information. This is due to their knowledge cutoffs, which are based on the time of their pretraining.
For instance, ChatGPT 3.5 has a knowledge cutoff of January 2022. So, inquiries about 2022’s highest-grossing film or tomorrow's weather would likely draw a gentle reminder of said knowledge cutoff and suggest you seek other sources.
Another limitation is their vulnerability to hallucinations, generating content that appears factual with utmost confidence, though lacks accuracy, or worse- is entirely false.
