This is my understanding of the two:
- MCPs can help LLM use ‘tool’ and ‘resources’ and combine with knowledge it was trained on to suggest a response to the prompt.
- Post-training is a way to tune LLMs on specialized datasets that are not available online.
Could someone explain to me that if we have those specialized ‘resources’ and ‘tools’ mentioned in MCP, wouldn’t we not need post-training?
The reason I am asking is that we are trying to build out LLM-driven Geographic data analysis, reasoning, recommendations, visualization. Would we post-train LLMS on Geographic database and python code to perform operations, or use the resources and tools as a part of MCP?
Thank you