PentestGPT
openai-cookbook
| PentestGPT | openai-cookbook | |
|---|---|---|
| 18 | 215 | |
| 6,361 | 55,954 | |
| - | 1.0% | |
| 8.2 | 9.5 | |
| 13 days ago | 5 days ago | |
| Python | MDX | |
| MIT License | MIT License |
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PentestGPT
- PentestGPT
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PentestGPT, a gpt-powered penetration testing tool, open source
👨💻 Source: https://github.com/GreyDGL/PentestGPT
- PentestGPT: GPT-Powered Penetration Testing
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April 2023
A GPT-empowered penetration testing tool (https://github.com/GreyDGL/PentestGPT)
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Fundamental LangChain Question
How you use it is up to you. There are hundreds of question answer clones with different data source adapters. Some projects that I found more interesting: https://github.com/GreyDGL/PentestGPT https://github.com/jina-ai/dev-gpt https://github.com/corca-ai/EVAL You can probably build something similar to smol developer with langchain too.
- Why are so many people vastly underestimating AI?
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Hackathon Ideas? Gen AI
Look up langchain. Some example projects. https://github.com/corca-ai/EVAL https://github.com/jina-ai/dev-gpt https://github.com/GreyDGL/PentestGPT https://blog.langchain.dev/origin-web-browser/
- GreyDGL/PentestGPT: A GPT-empowered penetration testing tool
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
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Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
llama.cpp - LLM inference in C/C++
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
deepdoctection - A Repo For Document AI
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
langcorn - ⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
askai - Command Line Interface for OpenAi ChatGPT
developer - the first library to let you embed a developer agent in your own app!
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
vocode-python - 🤖 Build voice-based LLM agents. Modular + open source.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows