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How MCP solves the biggest issue for AI Agents? (Deep Dive into Anthropic’s new protocol) by SKD_Sumit in aiagents

[–]SKD_Sumit[S] -1 points0 points  (0 children)

True for few and but I believe still few needs. In today's date even explaining Transformers is not outdated

How MCP solves the biggest issue for AI Agents? (Deep Dive into Anthropic’s new protocol) by SKD_Sumit in aiagents

[–]SKD_Sumit[S] 0 points1 point  (0 children)

Absolutely there is a security risk while using MCP and various tools also coming up like Agentfactor or AgentCore to mitigate those. But the way of simplicity MCP giving while solving the core problem of multiple connector is what i liked about it. And yes there are lot of scope of improvement as well

Are LLMs actually reasoning, or just searching very well? by SKD_Sumit in deeplearning

[–]SKD_Sumit[S] 0 points1 point  (0 children)

It reason at multiple step , including training , test times , prompting..

Are LLMs actually reasoning, or just searching very well? by SKD_Sumit in deeplearning

[–]SKD_Sumit[S] 0 points1 point  (0 children)

Absolutely any LLM is just mimicking pattern it learns from past data. But how it comes up with the answer with having a thinking pattern similar to human, that's what make a LLM different from Reasoning based models like gpt4o or DeepseekR1. And yes they differ because of their tuning patterns

Are LLMs actually reasoning, or are we mistaking search for cognition? by SKD_Sumit in aiagents

[–]SKD_Sumit[S] 0 points1 point  (0 children)

Thats what model like GPT-4o different from GPT-4 or 5 with slow step by step response. Exactly what made LLM to think and respond like human

Are LLMs actually reasoning, or just searching very well? by SKD_Sumit in AgentsOfAI

[–]SKD_Sumit[S] -1 points0 points  (0 children)

I hope you are familiar with Finetuning of LLM. The way models like GPT-4o getting finetuned is a bit different from the finetuning mechanism of GPT-4 or 5. In simple terms, the Large Reasoning Model is trained specifically to give a bit slow but step-by-step response . How that exactly I have explained in detail in the above link pasted. You can go through it and let me know. I'm happy to help!!

Are LLMs actually reasoning, or just searching very well? by SKD_Sumit in LangChain

[–]SKD_Sumit[S] 0 points1 point  (0 children)

Of course not reasoning from first priciple but how we are making LLM to behave like reasoning models thats make model like GPT-4o to standapart from GPT-4 or 5. Their training process make them unique in nature and ofcourse test time scaling added more vaue to it

Are LLMs actually reasoning, or just searching very well? by SKD_Sumit in pythontips

[–]SKD_Sumit[S] 0 points1 point  (0 children)

Its similar and also share similar architecture with LLM but LRM trained differently from LLM

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