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Rahul Agarwal

Founder | Agentic AI... • 23d

8 common LLM types used in modern agent systems. 1) GPT (Generative Pretrained Transformer) Core model for many agents, strong in language understanding, generation, and instruction following. 2) MoE (Mixture of Experts) Routes tasks to specialized sub-models, improving efficiency and scalability. 3) LRM (Large Reasoning Model) Focused on structured reasoning, planning, and multi-step decision making. 4) VLM (Vision-Language Model) Understands both text and visuals like images, charts, and interfaces. 5) SLM (Small Language Model) Lightweight and fast, ideal for low-latency or edge use cases. 6) LAM (Large Action Model) Designed to execute actions such as API calls and workflow automation. 7) HLM (Hierarchical Language Model) Separates high-level planning from detailed execution using layered models. 8) LCM (Large Concept Model) Reasons at the concept level, focusing on ideas and relationships. Key takeaway: AI agents are systems, not single models. Combining the right model types for each task matters more than choosing the largest model. Follow me for more such insights on AI.

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Anonymous 1

Hey I am on Medial • 22d

it's better that by mentioning example model for each.

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Can anyone provide me examples of tools or projects that you found genuinely valuable in your work with large language models?

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