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Update LLM based tools thoughts
@@ -219,10 +219,10 @@ Recently, I have been using a new tool called [cursor](https://www.cursor.com/)
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3. I've experimented with the feature from OpenIA to create custom chats. Basically, you train selected models with custom data, define how they are supposed to work, how to answer in what format, etc. I wrote a web crawler that gathered current RFCs for DNS, DHCPv6 and DHCPv4 and used it to train protocol explainers. Which worked surprisingly well, it's not perfect but with a little bit of work, fine tuning and maybe a higher degree of selecting data
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https://chatgpt.com/g/g-3hvTjBr3I-dns-dnssec-protocol-explainer
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https://chatgpt.com/g/g-hH6XAsqsa-dhcp6-protocol-explainer
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https://chatgpt.com/g/g-pC6TFfD2T-dhcp4-protocol-explainer
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https://chatgpt.com/g/g-6740a40dbf9c81919180cefeadd83c28-kea-arm-helper
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- https://chatgpt.com/g/g-3hvTjBr3I-dns-dnssec-protocol-explainer
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- https://chatgpt.com/g/g-hH6XAsqsa-dhcp6-protocol-explainer
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- https://chatgpt.com/g/g-pC6TFfD2T-dhcp4-protocol-explainer
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- https://chatgpt.com/g/g-6740a40dbf9c81919180cefeadd83c28-kea-arm-helper
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(disclaimer - it's just an experiment that needs more work if we decide to use it)
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I am still digging in other tools, for automation simple tasks.
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