We are living now in #LLM 1.0 and traveling towards the era of #LLM 2.0 - The main differentiating factor will be intelligent and autonomous Agents that can fuel the AGI as well as the complex industry problems.
Example : Consider a scenario where a vision model is employed to detect fire in a room. Depending on the number of people present in the room, different procedures will need to be followed to ensure their safety. While GPT-5 or GPT-6 can provide guidance on the appropriate procedures to be followed, the actual execution of these procedures will be carried out by autonomous agents. An intelligent orchestrator will be responsible for coordinating and connecting the dots to execute the solution that ensures the safety of all individuals present in the room.
Another Example: The Basic LLM can’t predict the weather of today in Amsterdam. It needs a large amount of data. Fine-tune can be an option - but don't you think it will be overwhelming?
There are different types of LLM Agents are in the market Lets take a look, If you want to know more then please read the blog: