# Cost-effective

The Self-hosted AI Starter Kit is a locally deployed AI toolkit designed to help users quickly launch AI projects on their own hardware. It simplifies the deployment process of local AI tools through Docker Compose templates. The toolkit includes n8n along with a selection of local AI tools such as Ollama, Qdrant, and PostgreSQL, facilitating the rapid establishment of self-hosted AI workflows. Its advantages lie in enhanced data privacy protection, reduced reliance on external API calls, and consequently lowered costs. Additionally, it provides AI workflow templates and network configurations, supporting local deployments or private cloud instances.

Not Diamond is a powerful AI model router designed specifically for developers. It intelligently selects the most suitable AI models based on task requirements, significantly reducing costs and latency. It supports out-of-the-box functionality and also allows for the training of custom routers to optimize model routing for specific use cases. The product boasts the ability to quickly select models and supports collaborative prompt optimization, programming optimal prompts for each large language model (LM) without manual adjustments or experiments.

Concurrence.ai is a tool that utilizes artificial intelligence technology to help manage online communities. It can process spam and advertisements 24/7, and can be managed according to custom filters. This product supports multiple languages and offers unlimited message support, with a monthly payment plan based on usage, suitable for businesses or individuals of all sizes.

GPT-4o mini is a cost-effective, small-scale intelligent model released by OpenAI. It outstrips other small models in multimodal reasoning and text intelligence. It supports the same range of languages as GPT-4o. It excels at mathematical reasoning and coding tasks, handling large amounts of context information and supporting real-time, fast-response text. The introduction of GPT-4o mini aims to broaden the application of AI technology to various scenarios, reduce costs, and improve accessibility.

H2O-Danube2-1.8B is the latest open-source tiny language model from H2O.ai, designed specifically for offline and enterprise applications. It features an economically efficient interface and training cost, making it easy to integrate into edge devices like smartphones and drones. This model ranks first in the <2B range on the Hugging Face Open LLM Leaderboard, offering up to 200 times cost savings on queries and better accuracy in document processing, with cost reductions up to 100%. The H2O.ai platform also provides cost control and flexibility, supporting the mixed use of more than 30 Large Language Models (LLMs), including proprietary and open-source LLMs.

Jamba is an open-weights language model based on the hybrid SSM-Transformer architecture, delivering top-tier quality and performance. It combines the strengths of Transformer and SSM architectures, achieving outstanding results in inference benchmarks while providing a 3x throughput increase in long-context scenarios. Jamba is currently the only model of this scale that can support a 140,000-character context on a single GPU, offering exceptional cost-effectiveness. As a foundational model, Jamba is designed for developers to fine-tune, train, and build customized solutions.

Joia is a lightweight ChatGPT alternative designed for team collaboration, with a focus on privacy and open-source accessibility. It allows users to easily provide AI chat access to everyone in their organization, create purpose-built chatbots, and share them with their team. Joia directly links with large language model providers like OpenAI via APIs, charging only for tokens actually used. This can save up to 75% on subscription costs compared to ChatGPT's pricing plans.

vx.dev is an open-source alternative to v0.dev with the following benefits: - Cost-effective: Through prompt engineering, the cost of use can be greatly reduced - Easily customizable: Open-source prompts are provided, allowing for the customization of UI components or coding styles to meet specific needs - Seamless GitHub Integration: Generated code is stored on GitHub, featuring built-in version control and code review functionalities The working principle of vx.dev involves using the GPT-4 model to generate code based on predefined prompts. The main cost lies in the number of tokens for input and completion. Prompts are stored in 'prompts/ui-gen.md', including instructions for shadcn/ui, lucide, and nivo charts. Reducing unnecessary component instructions can lower the API cost of each generation. vx.dev is easy to customize. Users can modify existing prompts, switch to other UI libraries, or adjust the coding style. Generated code is stored on GitHub, offering version control and collaboration features. Private repositories ensure the visibility of generated results.