In order to meet these needs, Sevey developed a platform called Mantium after he participated in an OpenAI beta program. During that program, developers were unable to share their products or launch them publicly. This allowed Sevey to create Mantium. In addition to API integrations and large language models, the platform offers API documentation and safety. Ultimately, the Mantium platform will help developers create applications that use advanced artificial intelligence.
No-code / low-code platform for building with large language models
The use of a no-code/low-code platform for building with large language models can boost the efficiency of app development, but this type of tool may pose certain challenges. For example, it is difficult for nontechnical users to understand the code and data handling process. Low-code development platforms target nontechnical users and target digital transformation initiatives. Therefore, these tools can be helpful for both IT professionals and startups.
Another No-code / low-code platform is Google AppSheet, which allows you to build and deploy mobile and web applications without writing any code. Its UI is similar to that of a spreadsheet, with fields that can reference files and other attachments. Alternatively, you can use the Visual LANSA, which allows you to combine traditional coding with No-code development in one IDE.
Low-code/no-code platforms have many benefits. However, they also come with certain challenges and a steep learning curve. As they are relatively new, there aren’t many best practices yet. In contrast, traditional programming languages have decades of experience and robust communities with well-documented best practices. As a result, low-code/no-code platforms tend to be overpriced, particularly for enterprise projects. The costs of enterprise low-code platforms vary considerably. The costs of small-market low-code platforms are significantly lower. However, pricing is another issue. The former tend to be overpriced, whereas the latter are more affordable and suitable for small-scale businesses.
In addition to creating operational efficiencies, Low-code platforms can also help organizations upgrade legacy systems. Regardless of the level of programming expertise, these tools can help organizations further their digital transformation initiatives, migrate to the cloud, or use innovative technologies to develop customer-engagement apps. Low-code platforms have a wide variety of benefits, and many of them offer no-code functionality. If used correctly, these platforms can supercharge the process of building apps.
API integrations
When you want to use artificial intelligence to develop applications, you can integrate the Mantium platform with other platforms. With the Mantium API integrations, you can combine the functions of several platforms without the need for extensive knowledge of these technologies. It is possible to use both the AI and machine learning functions on the Mantium platform, so you can easily combine the best of each. Mantium is available on the Heroku and Cohere platforms.
If you have a technical team and want to incorporate artificial intelligence into your product, the Mantium platform is an excellent choice. This tool enables both technical and non-technical team members to contribute. With its integrations, you can easily manage prompts and reduce software engineers’ time in developing and debugging. With the Mantium platform, teams of all backgrounds can develop AI using an open source AI technology.
The benefits of integrating the Mantium platform with other technologies are endless. The GAP handles API integration needs across the entire stack and creates workflows with no coding experience. Its capabilities allow you to tie together CRM, marketing, and task management tools without any additional resources. By combining these applications with the Mantium platform, you can build custom AI solutions that will meet your business needs. The software also makes it easy to integrate other tools into your product.
Besides enabling seamless integration between different systems, APIs also provide businesses with the ability to automate their processes. This way, you can eliminate time-consuming manual labor and enjoy faster work processes. Mantium API integrations eliminate the need for manual data input and versioning, allowing you to focus on other aspects of your business. The APIs make it easy to connect different products and processes, which in turn can increase productivity and revenue.
Documentation
In the Documentation for Mantium AI, you will find a number of helpful resources to help you get started building AI applications. For example, you can learn about the different prompts available in AI Manager. These prompts can be used to summarize complex paragraphs. You can also use the AI Manager’s prompts to generate complex paragraphs. After naming a prompt, you can add it to your application.
With Mantium, you’ll be able to automate tasks and share them with colleagues. You can also fine tune your models and prepare them for deployment by using Mantium’s logs and other features. You can even trigger human intervention if necessary. With Mantium, you can build AI in less time and improve accuracy for mundane tasks. You’ll be able to share your prototypes with your colleagues and use the logs to refine your models. Documentation for Mantium AI includes examples and links to downloadable guides and training materials.
The documentation for Mantium allows you to integrate Mantium with various services and providers. The API requires authentication by a bearer-id value in the HTTP request header. To use this feature, you must have a valid license. To obtain an API key, contact the provider’s customer support team. If you are working with multiple organizations, you can use the same user. It’s important to choose the correct organization for each API.
As you can see, Document AI technology can help you extract value from your unstructured data. It can help you identify low confidence answers and export the data to other systems. You can process both new and legacy documents with Document AI. Using Document AI is easy even if you’re not an expert in AI. If you’re not an expert in AI, the Documentation for Mantium AI platform will help you get started.
Safety
As an open source project, Mantium AI provides a number of advantages, and the project is open to anyone from novices to experienced AI developers. This makes it easier for non-technical team members to contribute, while allowing technical teams to contribute in their own way. The automatic features of Mantium reduce software engineers’ time spent reinventing the wheel and allow teams of all types to contribute to AI creation. Ultimately, this makes Mantium the ideal platform for creating AI for teams of all types and backgrounds.
To further safeguard the safety of your applications, Mantium adheres to a Secure Development Policy. Before deploying Mantium AI applications, all code is subject to a comprehensive set of automated tests and manual reviews by the Mantium team. The code is then pushed to a staging environment to be reviewed by developers and the security team. When large changes are needed, developers and application security team members collaborate to architect them in a secure manner.
While a variety of security policies exist, the main one is a commitment to end-to-end encryption. The use of encryption is a keystone for Mantium’s security policy. Encryption protects data at rest and in transit and provides a high degree of security. Moreover, Mantium’s security team regularly monitors all systems and their infrastructure for vulnerabilities. Mantium also employs end-to-end encryption for all customer data and utilizes TLS 1.2 for client-server connections.
The collaboration in AI security is aimed at reducing risks of accidents, strategic miscalculations, and other adverse outcomes. The benefits of this cooperation include enhanced security of machine learning techniques and the ability of competitors to deploy their AI/ML systems more rapidly. Further, this collaboration will enable companies to reduce their costs by implementing AI safety measures sooner. And, as with many other projects, the collaboration will be mutually beneficial. The safety of Mantium AI is a win-win for everyone.
Security
Mantium is a cloud platform for managing large language models. Its mission is to advance the accessibility of AI by building innovative applications with leading providers. To this end, the Mantium AI platform offers API integrations and comprehensive documentation. This means that people with no technical knowledge can develop applications using Mantium without the need for a professional developer. The Mantium AI platform is also compatible with other AI platforms, including OpenAI, EleutherAI, and Cohere.
The security of Mantium AI is achieved by using an automated platform called Drata. This platform continuously monitors internal security controls and provides real-time visibility across the organization. It helps maintain an end-to-end security posture by limiting access to sensitive data and ensuring the application runs in a secure environment. Mantium uses Drata’s security solution, which offers a robust suite of security features and services.
To ensure data security, Mantium employs industry-standard encryption methods for all customer data. All encryption keys are stored in a secure environment and access to them is audited. All access to resources used by Mantium is subject to security policy. All employees are granted access to only the resources they need to perform their duties. Mantium also constantly monitors its systems for vulnerabilities and assigns a risk rating to each one. It then performs mitigation and verification of the measures implemented.
Mantium follows a formal Secure Development Policy. All application code is thoroughly tested using automated tests and manual reviews by the Mantium team. Code is also tested on a staging server for stability and security before being pushed to production. Large changes are also architected by developers in consultation with the security team. This helps keep Mantium applications compliant with government security guidelines. There are no security gaps that are currently apparent in the Mantium AI platform.
