LLMFuzzer PyTorch

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LLMFuzzer:

About

If you're a security enthusiast, a pentester, or a cybersec researcher who loves to find and exploit vulnerabilities in AI systems, LLMFuzzer is the perfect tool for you. It's built to make your testing process streamlined and efficient. We are working on full documentation. It will cover detailed information about the architecture, different fuzzing strategies, examples, and how to extend the tool.
PyTorch:

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
LLMFuzzer:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
PyTorch:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported
LLMFuzzer:

Audience

Developers searching for a framework specifically designed for LLMs
PyTorch:

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
LLMFuzzer:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
PyTorch:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
LLMFuzzer:

API

Offers API Not Supported
PyTorch:

API

Offers API Not Supported
LLMFuzzer:

Screenshots and Videos

PyTorch:

Screenshots and Videos

LLMFuzzer:

Pricing

Free
Free Version Supported
Free Trial Not Supported
PyTorch:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
LLMFuzzer:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
PyTorch:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
LLMFuzzer:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
PyTorch:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported
LLMFuzzer:

Company Information

LLMFuzzer
github.com/mnns/LLMFuzzer
PyTorch:

Company Information

PyTorch
Founded: 2016
pytorch.org
LLMFuzzer:

Alternatives

PyTorch:

Alternatives

TensorFlow

TensorFlow

5.0 out of 5 stars
LLMFuzzer:
CyStack Platform

CyStack Platform

CyStack Security
PyTorch:
Core ML

Core ML

Apple
LLMFuzzer:
PyTorch:
Create ML

Create ML

Apple
LLMFuzzer:
PentestOps

PentestOps

Extranet Systems Pty Ltd
PyTorch:
DeepSpeed

DeepSpeed

Microsoft
LLMFuzzer:
API Fuzzer

API Fuzzer

Fuzzapi
PyTorch:
AWS Neuron

AWS Neuron

Amazon Web Services
LLMFuzzer:

Categories

AI Development Supported
PyTorch:

Categories

AI Development Supported
Machine Learning Supported
Neural Network Supported
LLMFuzzer:

Integrations

3LC Not Supported
AWS EC2 Trn3 Instances Not Supported
Akira AI Not Supported
ApertureDB Not Supported
Cameralyze Not Supported
Cirrascale Not Supported
Comet LLM Not Supported
FakeYou Not Supported
Gemini Enterprise Agent Platform Notebooks Not Supported
Keepsake Not Supported
NVIDIA FLARE Not Supported
OpenVINO Not Supported
Runyour AI Not Supported
SuperDuperDB Not Supported
TrueFoundry Not Supported
Unremot Not Supported
Zepl Not Supported
neptune.ai Not Supported
vLLM Not Supported
PyTorch:

Integrations

3LC Supported
AWS EC2 Trn3 Instances Supported
Akira AI Supported
ApertureDB Supported
Cameralyze Supported
Cirrascale Supported
Comet LLM Supported
FakeYou Supported
Gemini Enterprise Agent Platform Notebooks Supported
Keepsake Supported
NVIDIA FLARE Supported
OpenVINO Supported
Runyour AI Supported
SuperDuperDB Supported
TrueFoundry Supported
Unremot Supported
Zepl Supported
neptune.ai Supported
vLLM Supported
LLMFuzzer:
Claim LLMFuzzer and update features and information
Claim LLMFuzzer and update features and information
PyTorch:
Claim PyTorch and update features and information
Claim PyTorch and update features and information