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SANS - SEC487 Open Source Intelligence Gathering (OSINT) Notes

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10minutemail.com

20minutemail.com

CIA's Unbiased Methodology to evaluate multiple competing hypothesis for observed data

Analysis of competitng hypothesis

gwenf

• repo -> repository

• clone -> bring a repo down from the internet (remote repository like Github) to your local machine

• add -> track your files and changes with Git

• commit -> save your changes into Git

• push -> push your changes to your remote repo on Github (or another website)

• pull -> pull changes down from the remote repo to your local machine

• status -> check to see which files are being tracked or need to be commited

• init -> use this command inside of your project to turn it into a Git repository and start using Git with that codebase

dnburgess

---
version: 2
services:
  pihole:
    container_name: pihole
    image: pihole/pihole:latest
    ports:
      - 53:53/tcp #DNS Port
      - 53:53/udp #DNS Port
      #- 67:67/udp #DHCP Port

RuolinZheng08

def is_valid_state(state):
    # check if it is a valid solution
    return True

def get_candidates(state):
    return []

def search(state, solutions):
    if is_valid_state(state):
        solutions.append(state.copy())

skoqaq

—– BEGIN LICENSE —–
Mifeng User
Single User License
EA7E-1184812
C0DAA9CD 6BE825B5 FF935692 1750523A
EDF59D3F A3BD6C96 F8D33866 3F1CCCEA
1C25BE4D 25B1C4CC 5110C20E 5246CC42
D232C83B C99CCC42 0E32890C B6CBF018
B1D4C178 2F9DDB16 ABAA74E5 95304BEF
9D0CCFA9 8AF8F8E2 1E0A955E 4771A576

Artefact2

Which GGUF is right for me? (Opinionated)

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962

In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.

llama.cpp feature matrix

See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix