Smaller and Faster Generative AI with Turium Zebra.

Albert Einstein once said, "The measure of intelligence is the ability to change." At Xaana.Ai, we embody this spirit as we push the boundaries of artificial intelligence, redefining how machines process information and how businesses harness these capabilities for strategic advantage.

Innovative AI Solutions Tailored for Real-World Applications

Our approach at Xaana.Ai isn’t just about adopting technology; it’s about integrating AI in ways that are transformative, manageable, and, most importantly, beneficial from a return on investment (ROI) perspective. Our key innovations include generative AI, conversational AI, iOCR, and AI-enhanced budgeting and planning, revolutionising knowledge management and analytical reporting.

We’re making strides in creating AI solutions that are not only powerful but also practical and specific to the Australian public and enterprise sectors. Our platform, Zebra, is at the forefront of this, designed to be adaptable and finely tuned to handle diverse data types, enhancing operational efficiency by activating only relevant processes for a given task.

The industry is shifting toward smaller, more cost-effective models without significant performance loss and selecting the appropriate architecture often depends on the specific nature of the problem. We've been working on LLMs since 2019 and have done the hard yards and trained Zebra models to specialise in the Australian public sector and Australian enterprises, making Zebra adaptable to specific tasks and fine-tuned to handle multiple types of data, making your AI solution data-less. It improves your efficiency by only activating relevant experts for a given task.

For our customers, Zebra helps create a more connected and informed workforce where knowledge is dynamically shared and updated. Our customers tap into their wealth of proprietary data as quickly as asking Zebra for information to streamline efficiencies and boost productivity. By cutting down the time employees spend hunting for data, they make faster decisions and free up time to focus on more strategic activities that add value to the business. Zebra will summarise and recommend resources tied to knowledge search points and draw on reports to auto-generate knowledge reports from interactions with employees or customers. Integrating Zebra fosters a continuously learning and evolving workplace, keeping knowledge fresh and accessible for everyone.

What's the secret sauce of Zebra?

The Mixture of Experts (MoE) model is a collaborative neural network architecture designed to handle complex and diverse datasets. Unlike traditional models, MoE models use a team-based approach.

They divide the data into specialised categories or "experts" that handle different data types such as acoustic, visual, GIS, and textual data.

Each expert is optimised to process its respective data type. Zebra dynamically routes data to the relevant expert workflow, with each focusing on a distinct subset of information.

Zebra AI uses a divide-and-conquer approach, employing a team of specialised experts to analyse data efficiently and accurately. Built using MoE, Zebra scales efficiently with minimal computational overhead, improving performance by leveraging specialised knowledge and enhancing inference speed and resource utilisation.

Expert models: Smaller neural networks trained on specific tasks or domains.

Gating network: This neural network learns to route inputs to the appropriate expert models.

Output layer: This layer combines the outputs of the expert models to produce the final output.

So, how does Turium Zebra work:

• An input is fed into the gating network.
• The gating network determines which expert models are most relevant to the input.
• The input is routed to the selected expert models.
• The expert models process the input and produce outputs.
• The output layer combines the outputs of the expert models to produce the final output.

Benefits of using Zebra:

Improved performance: Improved performance by leveraging the specialised knowledge of the expert models.

Increased efficiency: Efficient than traditional LLMs because only the relevant expert models are activated for a given task.

Since Zebra uses the MoE architecture, it is a promising approach for improving the performance and efficiency of LLMs. It is particularly well-suited for tasks that can be divided into smaller subtasks.

When building with generative AI, your choices from the outset will significantly affect the overall costs of your product or solution.

So, do you need a large model to perform your tasks?

In most cases, no. A better approach is to fit the model to your specific use case. Not all AI models are the same, and neither are your use cases. Each specific use case demands an AI model that’s a right match, which explains why a multi-model approach is pivotal to achieving success with generative AI. Ultimately, you need trusted, performant and cost-effective foundation models that enable you to optimise for various parameters, such as cost, performance and risk, based on your use cases.

Having worked on many AI initiatives, let's discuss costs: the high expenses related to LLMs are a significant issue. The substantial financial outlay is primarily due to the GPUs necessary for training these models, which have long waitlists. However, securing these GPUs is only the beginning. The costs also include hiring data scientists, who are challenging to find and command high salaries. Additionally, operationalising LLMs involves costs for processing interactions, managing, and upgrading the models to address issues like security, hallucinations and more.

Our MoE approach offers a promising solution to the financial strain associated with LLMs. By implementing a system where multiple smaller, specialised models work together, Australian businesses and public sector departments can substantially reduce costs while ensuring high performance. I believe this approach could be a game-changer in the AI landscape.

Are you ready to move beyond the AI hype and discover real-world applications that deliver results?

At Xaana.Ai, we understand that the leap into generative AI can be daunting, but it’s also an inevitable advancement that businesses must embrace to stay competitive. Our approach demystifies generative AI and offers a practical, structured path to adoption with measurable returns.

As companies increasingly rely on technology for strategic advantage, embracing AI is no longer a question of "if" but "how quickly."

If you're considering a generative AI initiative, starting a proof of concept (PoC) with my team at Xaaa.Ai will be highly valuable. We will demonstrate how we can reduce the total cost of ownership across various aspects, including model training, inference, tuning, hosting, computing, and production. Our goal is to optimise computing costs and enhance the scalability of models across different use cases and domains for optimal ROI. We utilise intuitive interfaces that support human-in-the-loop learning to improve relevance, accuracy, and overall model performance based on your specific needs.

Choosing models that provide transparency regarding their training methodologies and offer contractual IP protection for responsible deployment and usage is essential. We curate models with built-in guardrails and establish best practices to address key issues, including governance, risk assessment, privacy concerns, and bias mitigation. This approach ensures that the outputs can be trusted for optimal performance, accuracy, safety, and reliability.

Xaana.Ai offers a practical path to generative AI adoption with tangible ROI. Our Proof of Concept (PoC) program provides a structured, low-risk approach to exploring the benefits of generative AI.

Our Distinctive Approach

Our Proof of Concept (PoC) program is designed to introduce businesses to the benefits of generative AI in a low-risk environment. We offer:

• Customisable Solutions: Tailor AI-driven strategies to your unique business needs.
• Cost-effective Implementation: Focus on reducing operational costs while maximising efficiency and accuracy.
• Scalable Innovations: Adapt solutions to meet evolving business demands and data volumes.

Key Benefits

Enhanced Knowledge Management:

• Empower your employees with instant access to comprehensive data and expert insights.
• Reduce information retrieval times by 60%, significantly boosting productivity and operational efficiency.
• Enhance decision-making processes with precise, AI-generated insights from your enterprise knowledge base.

Advanced AI Reporting:

• Simplify the creation of complex analytical reports, making them accessible to users at all levels.
• Achieve real-time visibility into financial activities, which supports proactive and informed decision-making.
• Enhance financial planning and strategic management with deep, AI-powered analytics.

Minimised Human Error:

• Dramatically reduce data entry, reporting, and decision-making errors by 98%.
• Enhance compliance and mitigate fraud risks through intelligent, AI-driven checks and balances.

Quantifiable Financial Impact:

• Achieve up to 50% cost reduction in processing through automation.
• Improve invoice processing and cycle times by 50%, enhancing overall financial operations.
• Maintain compliance and reduce operational risk efficiently, ensuring business integrity.

Rapid Deployment and Immediate Results:

• Deploy our Zebra platform swiftly and see immediate operational efficiency and cost reduction improvements.

Built for Performance and Trust:

• Utilise specialised AI models tailored for optimal performance in your specific industry.
• Ensure ethical AI use with our built-in guardrails that promote transparency and accountability.

Our Commitment

At Xaana.Ai, we prioritise the ethical deployment of AI technologies. Our models are designed strictly for governance and risk management best practices. We aim to ensure that all deployments are bias-free, privacy-compliant, and uphold the highest data security standards.

So, Start Your AI Journey with Confidence

Embarking on a generative AI initiative does not have to be overwhelming. Our PoC program is the perfect starting point, clearly demonstrating how AI can be seamlessly integrated into your operations without upfront heavy investments. We optimise costs and enhance scalability to deliver a significant return on investment.

Here are a few pathways for you to consider:

In summary, partnering with Xaana.ai to implement these AI solutions will bring numerous benefits, including:

• Expertise: Leverage Xaana's AI and machine learning expertise to develop and deploy tailored solutions for your specific needs.
• Efficiency: Streamline your operations and improve productivity by automating tasks and optimising workflows.
• Innovation: Stay ahead of the curve by adopting cutting-edge AI technologies and transforming your business processes.
• Cost Savings: Reduce operational costs by automating tasks and improving efficiency.
• Scalability: Implement AI solutions that can scale with your business needs and adapt to future growth.
• Support: Receive ongoing support and maintenance from Xaana's team of experts.

Let’s explore how our tailored solutions can meet your specific needs and drive your business forward.

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