#python #ai #llm_evaluation #llm_security #security_scanners #vulnerability_assessment
`garak` is a free tool that helps check if large language models (LLMs) have weaknesses or can be made to fail in unwanted ways. It tests for issues like hallucinations, data leaks, prompt injections, misinformation, and more. You can use it like `nmap` but for LLMs. To use `garak`, you install it with `pip` and specify the LLM model you want to test. It runs various probes to see if the model behaves incorrectly and gives you detailed reports on any vulnerabilities found. This helps ensure your LLMs are safe and reliable. You can get started by following the user guide and joining their Discord community for support.
https://github.com/NVIDIA/garak
`garak` is a free tool that helps check if large language models (LLMs) have weaknesses or can be made to fail in unwanted ways. It tests for issues like hallucinations, data leaks, prompt injections, misinformation, and more. You can use it like `nmap` but for LLMs. To use `garak`, you install it with `pip` and specify the LLM model you want to test. It runs various probes to see if the model behaves incorrectly and gives you detailed reports on any vulnerabilities found. This helps ensure your LLMs are safe and reliable. You can get started by following the user guide and joining their Discord community for support.
https://github.com/NVIDIA/garak
GitHub
GitHub - NVIDIA/garak: the LLM vulnerability scanner
the LLM vulnerability scanner. Contribute to NVIDIA/garak development by creating an account on GitHub.
#other #chatbot #hugging_face #llm #llm_local #llm_prompting #llm_security #llmops #machine_learning #open_ai #pathway #rag #real_time #retrieval_augmented_generation #vector_database #vector_index
Pathway's AI Pipelines help you quickly create and deploy AI applications with high accuracy. These pipelines use the latest knowledge from your data sources and offer ready-to-deploy templates for large language models. You can test these apps on your own machine and deploy them on cloud services like GCP, AWS, or Azure, or on-premises. The apps connect to various data sources such as file systems, Google Drive, and databases, and they include built-in data indexing for efficient searches. This makes it easy to extract and organize data from documents in real-time, reducing the need for separate infrastructure setups. This simplifies the process of building and maintaining AI applications, saving you time and effort.
https://github.com/pathwaycom/llm-app
Pathway's AI Pipelines help you quickly create and deploy AI applications with high accuracy. These pipelines use the latest knowledge from your data sources and offer ready-to-deploy templates for large language models. You can test these apps on your own machine and deploy them on cloud services like GCP, AWS, or Azure, or on-premises. The apps connect to various data sources such as file systems, Google Drive, and databases, and they include built-in data indexing for efficient searches. This makes it easy to extract and organize data from documents in real-time, reducing the need for separate infrastructure setups. This simplifies the process of building and maintaining AI applications, saving you time and effort.
https://github.com/pathwaycom/llm-app
GitHub
GitHub - pathwaycom/llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker…
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,...
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