8 Types of LLMs for Next Generation AI Agents

@PythonPr clean taxonomy. agents just got a blueprint.

@PythonPr Good breakdown. For next-gen agents, the real challenge is often how these specialized LLMs handle context switching and state management across different modules.

@PythonPr Very clear breakdown for noobs!

@PythonPr Nice! ASL isn’t a model type, it’s the execution layer. It can coordinate GPT, SLMs, MoE, VLMs, HRMs, etc., while keeping control and state outside the model.

@PythonPr Great info 🔥

@PythonPr 8 types of LLMs? Cool. I can barely choose a Netflix show, now I have to pick an AI personality 😅

@PythonPr Nice

@PythonPr Why did the transformer model win?

@PythonPr Nice overview. Key insights on how different architectures cater to specific tasks. The evolution in handling diverse input types is really interesting.

@PythonPr sounds interesting, wanna learn more about them

@PythonPr Nice breakdown

@PythonPr What category does NMT, i.e Neural Machine Translation, fall into ?

@PythonPr GPT and SLM doesn't seems much different..

@PythonPr LCM are the ones that are seeing lots of revenue when being sold as an agent.

@PythonPr The best AI agent is one that fails gracefully when the model hallucinates. Most of these architectures optimize for capability, not reliability under adversarial conditions.

@PythonPr aamazing