A place where we can save and share useful things 
#Resources 🤖
kind inlet
Great pipeline for running with APIs and locally with custom apps redacted
great optimized rag technique that’s going to be open sourced soon https://www.microsoft.com/en-us/research/project/graphrag/
Handle math functions safely https://github.com/osmarks/osmarkscalculator/blob/master/src/lib.rs
willow tapir
6 years on and still waiting for that help?
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real
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Papers about regressive prompting https://github.com/Timothyxxx/Chain-of-ThoughtsPapers
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Nice resources https://github.com/awesome-selfhosted/awesome-selfhosted
Random tools that I should probably give my models access to in functions https://github.com/trimstray/the-book-of-secret-knowledge
Graphs https://gephi.github.io/
For after I want to get iOS assistant latency down https://github.com/dkhamsing/open-source-ios-apps
Choose your db https://github.com/oxnr/awesome-bigdata
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Not great but what I’ve been using https://github.com/meta-prompting/meta-prompting
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functions and interoperabilityhttps://github.com/topics/openai-codex
kind inlet
Not great but what I’ve been using https://github.com/meta-prompting/meta-prompt...
second method of self prompting which isnt contained all in the prompt itself using xml, but rather uses the github to task queue. less output contamination? https://github.com/catid/self-discover
left siren
These aren't published scripts, I very much can't publish them without completely cutting them
Some of these look coo though
@kind inlet change the archive duration to max it you want to refer to this thread with some frequency
kind inlet
These aren't published scripts, I very much can't publish them without completel...
Some of them like #1236615110068408371 message
Have useful scripts that I would give it access too.
For instance we could even be having it use autohotkey or pyautogui functions to send user input for anything, but these are like useful scripts that I think are handy to give it if it’s doing stuff idk. Right now I am only working on database management
leaden trench
kind inlet
todo: add proper function tree context
switch to langchain for self prompt (raptor tree) (self discover)
-simpleui sdxl
-better image detection
-voice detect model whisper?
-text to speech model
-additional functions ig for browsing and automating better (autoregressive search seal?) https://github.com/not-nullptr/ollama-functions
-prompting technique, documents, loaded books (prompts, meta prompting, recursive prompt assisst, command prompts, llm settings... more. presets)
search all messages with embedding as additional document
kind inlet
llama 3 70b, 8x22, miqu midnight, llama 3 gradient, llava llama 3,
whisper
random voice
delta swin (might change to cnn or smth gae image recognition is so bad rn)
sdxl
nomic embeddings or uae maybe (mxbai for small context stuff, need to find what nvidia used for chatqa and switch to that if doing dataset matching, allminilml12 for speed)
Honestly now I don’t care for this crap I’m going to get back into botting and set that up again
Gotta collect prompts like Pokémon
Probably stalking ols
If you read this help me <3 we can make ols prompt dataset
willow tapir
this thread is lame and only proves my point that apo11o is a complete loser
kind inlet
no u
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TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
{{ .Response }}<|eot_id|>"""
PARAMETER num_keep 24
PARAMETER stop "<|start_header_id|>"
PARAMETER stop "<|end_header_id|>"
PARAMETER stop "<|eot_id|>"```
anotherthing https://github.com/chrishart0/ollama-langchain-llama_index-samples/blob/master/2-llama_index-rag-ollama.py
ima spam random landchain things now
idk didnt check https://github.com/foundation-model-stack
forgot to post this https://github.com/EleutherAI/lm-evaluation-harness
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stray pawn
988
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langflow is just visual langchain. langgraph does more node based data manipulation as opposed to being langchain, and autogen manages agent orchistration in a low code visual environment. while autogpt is more for running headless agents with access to environments that are pre defined, taskweaver is for managing what tools and plugins are avaliable load for the model in an organized structure
tldr torch
kind inlet
jax better
Getting Started with Exploit Development
https://dayzerosec.com/blog/2021/02/02/getting-started.html
Reverse Engineering For Everyone:
https://0xinfection.github.io/reversing/
Reverse Engineering Reading List:
https://github.com/onethawt/reverseengineering-reading-list
Awesome Reverse Engineering:
https://github.com/ReversingID/Awesome-Reversing
Reversing Resources:
https://github.com/wtsxDev/reverse-engineering
OpenRCE
http://www.openrce.org/reference_library/bookstore
Open Security Training (Rootkits, Malware, Exploitation):
https://opensecuritytraining.info/Training.html
https://null-byte.wonderhowto.com/how-to/exploit-routers-unrooted-android-phone-0178066/
https://github.com/commonexploits/port-scan-automation
https://github.com/UltimateHackers/Hash-Buster
https://www.jetbrains.com/pycharm/
http://www.catb.org/esr/faqs/smart-questions.html
fake nodejs data in browser
https://github.com/faker-js/faker
avid gooner materials for the inexperienced
https://payatu.com/guide-linux-privilege-escalation/
https://www.offensive-security.com/metasploit-unleashed/
https://www.youtube.com/results?search_query=the+security+tube+metasploit+megaprimer
http://www.0daysecurity.com/penetration-testing/enumeration.html
https://blog.g0tmi1k.com/2011/08/basic-linux-privilege-escalation/
https://mlh.io/
https://www.corelan.be/index.php/articles/
http://opensecuritytraining.info/
https://www.hacker101.com/
https://www.hacksplaining.com/
https://ijustwannared.team/
https://www.owasp.org/index.php/Main_Page
http://www.pentest-standard.org/index.php/Main_Page
https://foxglovesecurity.com/
http://niiconsulting.com/checkmate/2017/06/a-detail-guide-on-oscp-preparation-from-newbie-to-oscp/
https://www.bbc.com/news/technology-33548728
https://kali.training/
https://azeria-labs.com/the-importance-of-deep-work-the-30-hour-method-for-learning-a-new-skill/
https://www.youtube.com/watch?v=1S0aBV-Waeo
https://imgur.com/a/MtQZv
https://blog.senr.io/blog/jtag-explained
https://securinghardware.com/training/
https://0x00sec.org/
https://sites.google.com/secured.org/malwareunicorn/
https://billy-ellis.github.io/
http://jcjc-dev.com/2016/04/08/reversing-huawei-router-1-find-uart/
http://fumalwareanalysis.blogspot.com/p/malware-analysis-tutorials-reverse.html
https://legend.octopuslabs.io/sample-page.html
https://tuts4you.com/e107_plugins/download/download.php?list.17
http://security.cs.rpi.edu/courses/binexp-spring2015/
https://reverseengineering.stackexchange.com/questions/265/where-to-find-free-training-in-reverse-engineering
https://insecure.org/stf/smashstack.html
https://yifan.lu/2016/04/06/the-3ds-cryptosystem/
http://dmitry.gr/index.php?r=05.Projects&proj=23. PSoC4
https://0x00sec.org/t/reverse-engineering-101/1233
https://hshrzd.wordpress.com/2017/05/28/starting-with-windows-kernel-exploitation-part-1-setting-up-the-lab/
https://qmemcpy.io/post/ida-series-1-hex-rays
https://www.xorpd.net/
https://people.eecs.berkeley.edu/~hu/Book-Chapters-and-Lecture-Slides-download.html
https://fuzzing-project.org/tutorial1.html
https://www.begin.re/
https://www.endgame.com/blog/technical-blog/introduction-windows-kernel-debugging
https://thinkingeek.com/2013/01/09/arm-assembler-raspberry-pi-chapter-1/
https://netsecexplained.com/
https://www.owasp.org/images/1/19/OTGv4.pdf
https://www.owasp.org/index.php/OWASP_Testing_Guide_v4_Table_of_Contents
https://portswigger.net/burp/documentation/desktop/penetration-testing
@mental sluice what am i missing since youre the linux scrub
maybe i should list all the stuff i have used for multibooting
like different bootable setups and tools too
thinking i might just send a bunch more old resources i have
i was a big gooner way back in my day
mental sluice
<@687600977830084696> what am i missing since youre the linux scrub
im too lazy to look at all that
kind inlet
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https://zeromq.org
fucking 🔥 🔥🔥🔥🔥
i wonder if someday i should show yall how to set up your own stacks like i have
@mental sluice i miss uwu
mental sluice
<@687600977830084696> i miss uwu
kind inlet
mental sluice
yall some haxors
knows of this sucks for me
but you will definitely find something
kind inlet
stray pawn
if you want a specific document or URL downloaded, just install my mcp server and tell it "add this document https://URL.HERE"
if multiple, also install the mcp-webresearch server and then tell it "visit this site https://URL.HERE.WITH/multiple_pages/of/documentation.html and visit each page of the documentation and save it using add_document"
and it will do it systematically
https://www.github.com/qpd-v/mcp-ragdocs
After it saves all of the documents that you need, you can tell it to search through them for certain keywords or tell it to debug using the documents
stray pawn
mcp-ragdocs v0.1.5 released:
https://github.com/qpd-v/mcp-ragdocs
added ollama support
stray pawn
stray pawn
kind inlet
https://github.com/srush/awesome-o1
https://github.com/hijkzzz/Awesome-LLM-Strawberry
https://github.com/logikon-ai/awesome-deliberative-prompting
https://github.com/atfortes/Awesome-LLM-Reasoning
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