[certificate] [NAU] M.CIT. degree

 

[LLM] llmfit dynamically selecting appropriate models

 Environment:

# uname -a

Linux demonalex-VirtualBox 7.0.0-14-generic #14-Ubuntu SMP PREEMPT_DYNAMIC Mon Apr 13 11:09:53 UTC 2026 x86_64 GNU/Linux

Installation:

# curl -fsSL https://llmfit.axjns.dev/install.sh | sh

Running:

# llmfit

Check Gmail Postmaster Tools

 Register your domain at postmaster.google.com to monitor:

Domain reputation

IP reputation

Authentication pass rates

Delivery errors in detail

Homoglyph Sproofing / Typo

 "rn" -> "m"

"cl" -> "d"

"ci" -> "a"

"vv" -> "w"

"Il" -> "ll"

"1" -> "l"

"I" -> "l"

"nn" -> "m"

"M0N" -> "MON"

[LLM] llmster

 Switch to a working folder:

# cd /usr/local/sbin

Show what kernel my VPC owns:

# uname -a

Linux demonalex-VirtualBox 7.0.0-14-generic #14-Ubuntu SMP PREEMPT_DYNAMIC Mon Apr 13 11:09:53 UTC 2026 x86_64 GNU/Linux

Install llmster:

# curl -fsSL https://lmstudio.ai/install.sh | bash

Add the following into /etc/profile:

export PATH="/root/.lmstudio/bin:$PATH"

Open a new terminal and execute the following to see the model list:

# lms get

Press Ctrl+C to end the showing.

Download the model:

# lms get google/gemma-4-e2b

Check if the model has already been downloaded:

# lms ls

Have an interactive chatbot:

# lms chat

Type "/exit" can exit the chatbot conversation.

Delete a downloaded model:

# cd ~/.lmstudio/models/lmstudio-community

# rm -Rf ./[MODEL]

[AI][ML][LLM]Run Llama 3B through Docker Model

 Install necessary plugin:

# curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg

# echo "deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# apt-get update

# apt-get install docker-model-plugin

Pull:

# docker model pull ai/llama3.2

Run in Interactive mode:

# docker model run ai/llama3.2

Exit Interactive mode:

> /bye

Run in Single-prompt mode:

# docker model run ai/llama3.2 "Explain how Docker containers work in one sentence."

-----Failed to carry out from here:

Enable OpenAI mode:

# docker desktop enable model-runner --tcp 12434

Test OpenAI:

# curl http://localhost:12434/engines/v1/models

Remotely use through OpenAI:

# curl http://localhost:12434/engines/v1/chat/completions \

  -H "Content-Type: application/json" \

  -d '{

    "model": "ai/llama3.2",

    "messages": [{"role": "user", "content": "Hello!"}]

  }'

[Windows][Sniffer] Microsoft Pktmon command-based sniffer

#Add filter:

pktmon filter add MyFilter -i 192.168.215.11

#OR

pktmon filter add MyFilter -i 192.168.1.100 -p 443

pktmon filter add MyFilter -i 192.168.1.100 -p 443 -t tcp

#Start:

pktmon start --capture --log-mode real-time

#Stop:

pktmon stop

#Remove filter:

pktmon filter remove