MLnet
FOCUSES
We Are On A Mission
MLnet Framework
The Framework is an innovative open-governance solution that prioritises human-centred criteria in lifecycle managing, regulating and measuring machine learning models and generative AI agents. The Framework operates on the policy-as-code and code-as-policy principles, enabling persona-level interactions with models and agents according to policies.
MLnet Community
The Community is dedicated to fostering collaboration and learning. We aim to establish a platform for individuals and organisations to collaborate on open-source projects. The Community is committed to providing valuable content on social media and hosting regular events that facilitate discussions and promote knowledge-sharing.
MLnet Services
The Services provides specialised advisory solutions in scalable data enablement, machine learning, and generative A. By leveraging the expertise of its team of experts in data engineering, machine learning pipeline development, and solution architecture, the Services assists organisations to accelerate their growth and adopt modern data stacks.
What We Are Passionate About to Build
Operation, monitoring, and governance in the field of machine learning and generative AI are often seen as separate processes or disregarded to some extent. Additionally, the current processes are too generic and isolated in computational matrices, making it challenging to assess and take appropriate actions. This narrow approach leads to inefficiencies, biases, inaccuracies, and vulnerabilities across the board, including end-users, as these processes are not designed to handle human-level regulations and ethical considerations on a case-by-case basis.
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In MLnet; The Framework, we are building an open and configurable manifest-driven approach that encompasses the entire lifecycle of a machine learning application. This open framework ensures that policies and regulations, defined by humans according to specific use cases, are incorporated from the initial stages of model definition all the way to model integration and validation. Furthermore, we introduce persona-level roles and responsibilities throughout the development and implementation of any machine learning project. This natively integrates machine learning project management into the development and governance frameworks.
Our vision is to transform machine learning operations from purely computational matrices to a collaborative mission involving humans, regulations, and computation. With MLnet and the support of The Community, we aim to turn this vision into reality by initiating a mission.
How We Contribute to the Community
We actively contribute to the development of a vibrant and supportive community. At the heart of MLnet's mission is the objective to provide a platform where individuals and organisations can converge and engage in collaborative efforts surrounding MLnet's open-source projects. By creating this platform, MLnet aims to facilitate knowledge sharing, idea exchange, and collective problem-solving within the machine learning community.
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Through The Community initiative, individuals and organisations have the opportunity to collaborate on MLnet's open-source projects. This collaboration not only encourages the sharing of expertise and experiences but also promotes the development of innovative solutions and advancements in machine learning.
We have a commitment to community learning goes beyond just providing a platform for collaboration. MLnet organises workshops, webinars, and events where The Community members can actively participate, gain insights, and learn from industry experts. By facilitating these learning opportunities, MLnet aims to empower individuals and organisations with the knowledge and skills needed to effectively leverage MLnet's open-source tools and frameworks. In doing so, we contribute to the growth and development of the wider machine learning community by equipping its members with the necessary resources and support to succeed in their missions.
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