PentestGPT
llama.cpp
PentestGPT | llama.cpp | |
---|---|---|
18 | 773 | |
6,361 | 56,891 | |
- | - | |
8.2 | 10.0 | |
13 days ago | 6 days ago | |
Python | C++ | |
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
llama.cpp
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Better and Faster Large Language Models via Multi-Token Prediction
For anyone interested in exploring this, llama.cpp has an example implementation here:
https://github.com/ggerganov/llama.cpp/tree/master/examples/...
- Llama.cpp Bfloat16 Support
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Fine-tune your first large language model (LLM) with LoRA, llama.cpp, and KitOps in 5 easy steps
Getting started with LLMs can be intimidating. In this tutorial we will show you how to fine-tune a large language model using LoRA, facilitated by tools like llama.cpp and KitOps.
- GGML Flash Attention support merged into llama.cpp
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Phi-3 Weights Released
well https://github.com/ggerganov/llama.cpp/issues/6849
- Lossless Acceleration of LLM via Adaptive N-Gram Parallel Decoding
- Llama.cpp Working on Support for Llama3
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Embeddings are a good starting point for the AI curious app developer
Have just done this recently for local chat with pdf feature in https://recurse.chat. (It's a macOS app that has built-in llama.cpp server and local vector database)
Running an embedding server locally is pretty straightforward:
- Get llama.cpp release binary: https://github.com/ggerganov/llama.cpp/releases
- Mixtral 8x22B
- Llama.cpp: Improve CPU prompt eval speed
What are some alternatives?
ChatGLM2-6B - ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
deepdoctection - A Repo For Document AI
gpt4all - gpt4all: run open-source LLMs anywhere
langcorn - ⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
developer - the first library to let you embed a developer agent in your own app!
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
vocode-python - 🤖 Build voice-based LLM agents. Modular + open source.
ggml - Tensor library for machine learning
trex - Enforce structured output from LLMs 100% of the time
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM