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Continuum - Models and Applications
Continuum - Models and Applications
  • Continuum Labs - Applied AI
  • Overview
    • What we do
    • Our Features
    • Secure and Private GPU Infrastructure
    • Generative AI Implementation Risks
  • Model Range
    • ⏹️Model Range
    • Investment Management
    • Employment Law
    • Psychology and Mental Health
    • Home Insurance
    • Consumer Surveying
    • Government Grants
    • Aged Care
    • Pharmaceuticals Benefit Scheme
  • Discussion and Use Cases
    • Three ideas for autonomous agent applications
    • Financial Statement analysis with large language models
    • The Evolution of AI Agents and Their Potential for Augmenting Human Agency
    • Better Call Saul - SaulLM-7B - a legal large language model
    • MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
    • Anomaly detection in logging data
    • ChatDoctor: Artificial Intelligence powered doctors
    • Navigating the Jagged Technological Frontier: Effects of AI on Knowledge Workers
    • Effect of AI on the US labour market
    • Data Interpreter: An LLM Agent For Data Science
    • The impact of AI on the customer support industry
    • Can Large Language Models Reason and Plan?
    • KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
    • The flaws of 'product-market fit' in an emerging industry
    • Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
    • The Disruption of the Administrative Class: How Generative AI is Reshaping Organisational Operations
    • How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
    • Embracing AI: A Strategic Imperative for Modern Leadership
    • Artificial Intelligence and Management: The Automation-Augmentation Paradox
    • Network effects in AI models
    • AI impact on the publishing industry
    • Power asymmetry
    • Information Asymmetry
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Continuum - Accelerated Artificial Intelligence

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  • Axolotl Platform

Copyright Continuum Labs - 2023

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  • Our platform
  • Unlocking the Power of Customised Models
  • Why should I make the investment?
  • Our offer
  • Quick links

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Continuum Labs - Applied AI

"Applied Artificial Intelligence"

Our platform

We have created a platform that makes the process of creating a proprietary neural language model and integrating it into enterprises of all sizes simple and intuitive.

We have shortened the development time frame down to months. We can work with you to determine the optimal use case for your AI model and then translate that into a working application rapidly.

From data creation and curation, fine tuning, optimisation and then deployment - the Continuum process is systematic at the same time as being flexible.

We work with all organisation types - from start ups that want to make AI the core of their organisation - to large enterprises and government that want to begin their AI journey.

Unlocking the Power of Customised Models

Our mission is to deliver tailor-made AI applications that cater to your specific domain and use cases.

We are committed to democratising access to AI, ensuring that anyone can use the power of this technology.

You do not have to outsource your AI journey to external service providers; partner with us to embark on your unique AI journey.

Our core believe is you should own your models, hosted securely on your own infrastructure.

We recommend taking a portfolio approach toward this technology - pick several low cost, low risk use cases - and start today.

Why should I make the investment?

Customisation

With an in-house model, your organisation gains an understanding of how AI can be used to make the team more competitive, more productive and ultimately please your customers.

With an internal model, a company can tailor the model to its specific domain, industry, and use cases.

This allows for fine-tuning the model to better understand and generate content relevant to the company's products, services, and customers. By continuously adapting the model to the company's evolving needs, it can stay ahead of competitors that are relying on generic, off-the-shelf models.

Off-the-shelf solutions may fall short when it comes to meeting your unique needs. By developing your own AI applications in-house, you gain the flexibility to customise it precisely to your specifications, ensuring optimal performance and relevance.

This factors should all combine to generate a competitive edge.

Data Ownership

This issue cannot be understated.

If you are using external models, your data is leaking out of your organisation.

Your organisation's knowledge, internal processes and culture are your core assets - you cannot have security over these assets if your AI infrastructure relies on external models.

With a proprietary model, you retain full ownership and control over your data, safeguarding it against competitive threats. privacy breaches and ensuring compliance with regulatory requirements.

Sensitive information can be kept within the company's infrastructure, reducing the risk of data breaches or unauthorised access.

Proprietary knowledge and trade secrets

The privacy and security an internal model delivers means it can be trained on a company's proprietary data, including internal documents, customer interactions, and industry-specific knowledge.

This enables the model to capture and leverage the company's unique expertise and trade secrets, providing a competitive advantage that cannot be easily replicated by others.

Future Development

Having full control over your AI models allows rapid experimentation with new ideas, architectures, and training techniques.

This agility enables faster innovation cycles, allowing the company to explore novel applications and use cases before competitors can catch up. The ability to iterate and improve the model rapidly can lead to breakthrough innovations and first-mover advantages.

Talent Retention

Developing an internal model can attract top talent in the field of deep learning and artificial intelligence. The opportunity to work on the latest technology and solve unique challenges can be a strong draw for skilled researchers and engineers.

By building a talented team around the internal model, a company can foster a culture of innovation and expertise that contributes to an AI driven culture.

Long-Term Total Cost of Ownership

While there is an upfront investment for in-house model development and ownership, it often results in long-term cost savings compared to ongoing licensing fees associated with large, generic off-the-shelf solutions.

By eliminating the need for third-party licenses and subscriptions, you can reduce ongoing expenses.

Additionally, an internal model can be optimised for the company's specific hardware and infrastructure, ensuring efficient resource utilisation and minimising waste.

Furthermore, there are many use cases that do not require large, expensive models. You can use open source models that are small, but when fine tuned and optimised can perform highly valuable tasks withing your organisation.

Flexibility and control over ethical considerations

Owning an internal model allows full control over the ethical considerations and biases embedded within the model.

You can ensure that the model aligns with your organisation's values, principles, and ethical guidelines. This level of control is important for maintaining trust with customers, partners, and stakeholders, especially in industries where fairness, transparency, and accountability are paramount.

Infrastructure Integration

An internal model can be seamlessly integrated with a company's existing software systems, workflows, and data pipelines.

This enables the model to leverage real-time data and provide actionable insights directly within the company's applications. By having control over the model's deployment and integration, a company can create a more streamlined and efficient workflow.

Our offer

Working with Continuum to build your proprietary application is a forward-thinking investment in the future. We work with you to become AI ready and your team AI literate.

The end result is a bespoke model tailored specifically to your needs.

You retain control over the data it's trained on, the knowledge base it's integrated with, and the functions it performs.

Your data remains secure, shielded from external service providers, ensuring confidentiality and privacy.

More importantly, your proprietary model can be continuously refined and enhanced, evolving alongside your evolving needs and use cases.

With ownership comes control over your intellectual property, granting you the ability to capitalise on your proprietary models through monetisation or licensing opportunities.

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Last updated 11 months ago

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What we do
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