Llama Stack Description
Llama Stack is an innovative modular framework aimed at simplifying the creation of applications that utilize Meta's Llama language models. It features a client-server architecture with adaptable configurations, giving developers the ability to combine various providers for essential components like inference, memory, agents, telemetry, and evaluations. This framework comes with pre-configured distributions optimized for a range of deployment scenarios, facilitating smooth transitions from local development to live production settings. Developers can engage with the Llama Stack server through client SDKs that support numerous programming languages, including Python, Node.js, Swift, and Kotlin. In addition, comprehensive documentation and sample applications are made available to help users efficiently construct and deploy applications based on the Llama framework. The combination of these resources aims to empower developers to build robust, scalable applications with ease.
Llama Stack Alternatives
LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
Learn more
Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
Learn more
Hyperbrowser
Hyperbrowser serves as a robust platform designed for executing and scaling headless browsers within secure and isolated containers, specifically tailored for web automation and artificial intelligence applications. This platform empowers users to automate a variety of tasks, including web scraping, testing, and form submission, while also enabling the extraction and organization of web data on a large scale for subsequent analysis and insights. By integrating with AI agents, Hyperbrowser enhances the processes of browsing, data gathering, and engaging with web applications. Key features include automatic captcha resolution to optimize automation workflows, stealth mode to effectively circumvent bot detection measures, and comprehensive session management that includes logging, debugging, and secure resource isolation. With the capability to support over 10,000 concurrent browsers and deliver sub-millisecond latency, Hyperbrowser ensures efficient and dependable browsing experiences backed by a 99.9% uptime guarantee. Furthermore, this platform is designed to work seamlessly with a wide array of technology stacks, such as Python and Node.js, and offers both synchronous and asynchronous clients for effortless integration into existing systems. As a result, users can trust Hyperbrowser to provide a powerful solution for their web automation and data extraction needs.
Learn more
Llama Guard
Llama Guard is a collaborative open-source safety model created by Meta AI aimed at improving the security of large language models during interactions with humans. It operates as a filtering mechanism for inputs and outputs, categorizing both prompts and replies based on potential safety risks such as toxicity, hate speech, and false information. With training on a meticulously selected dataset, Llama Guard's performance rivals or surpasses that of existing moderation frameworks, including OpenAI's Moderation API and ToxicChat. This model features an instruction-tuned framework that permits developers to tailor its classification system and output styles to cater to specific applications. As a component of Meta's extensive "Purple Llama" project, it integrates both proactive and reactive security measures to ensure the responsible use of generative AI technologies. The availability of the model weights in the public domain invites additional exploration and modifications to address the continually changing landscape of AI safety concerns, fostering innovation and collaboration in the field. This open-access approach not only enhances the community's ability to experiment but also promotes a shared commitment to ethical AI development.
Learn more
Pricing
Pricing Starts At:
Free
Pricing Information:
Open source
Free Version:
Yes
Integrations
No Integrations at this time
Company Details
Company:
Meta
Year Founded:
2004
Headquarters:
United States
Website:
github.com/meta-llama/llama-stack
Media
Recommended Products
Simplify IT and security with a single endpoint management platform
NinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers.
The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
Product Details
Platforms
Windows
Mac
On-Premises
Types of Training
Training Docs
Llama Stack Features and Options
Llama Stack User Reviews
Write a Review- Previous
- Next