Fail2bab

Fail2bab Fail2bab

Fail2banlink image 4

With Fail2ban we can block IPs that want to connect to our device, here I am going to explain how to configure the blocking when they try to connect via ssh

This notebook has been automatically translated to make it accessible to more people, please let me know if you see any typos.

Installationlink image 5

The installation is very simple, we only have to make

sudo apt update
      sudo apt install fail2ban
      

Configuration filelink image 6

Once installed, we modify the configuration file by doing the following

sudo nano /etc/fail2ban/jail.conf
      

We go down to the part where [sshd] is, in my case I have left it like this

[sshd]
      bantime = 172800
      port = ssh
      logpath = %(sshd_log)s
      backend = %(sshd_backend)s
      maxretry = 3
      

What it does is that if someone makes 3 connection retries, it bans that IP for 48 hours (172800 seconds).

Review logslink image 7

We can check through the logs whether any IP has been blocked with

cat /var/log/fail2ban.log
      

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DoLa – Decoding by Contrasting Layers Improves Factuality in Large Language Models

DoLa – Decoding by Contrasting Layers Improves Factuality in Large Language Models

Have you ever talked to an LLM and they answered you something that sounds like they've been drinking machine coffee all night long 😂 That's what we call a hallucination in the LLM world! But don't worry, because it's not that your language model is crazy (although it can sometimes seem that way 🤪). The truth is that LLMs can be a bit... creative when it comes to generating text. But thanks to DoLa, a method that uses contrast layers to improve the feasibility of LLMs, we can keep our language models from turning into science fiction writers 😂. In this post, I'll explain how DoLa works and show you a code example so you can better understand how to make your LLMs more reliable and less prone to making up stories. Let's save our LLMs from insanity and make them more useful! 🚀

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