top of page

So you want to join the Generative AI bandwagon? Psst... here's a cheat sheet.



Abstract Generative AI image
The age of Generative AI is here, are you ready to participate.

Navigating the AI Revolution with Strategic Foresight


We are most definitely in the age of Generative AI, and enterprises are aiming to figure out how to get the most out of this disruptive technology. How to Create Meaningful and tangible business value, Faster is the question on every Analytics and AI Vice President's mind!


Large Language Models (LLMs) stand at the center of this transformation. However, the challenge lies in customizing these technologies to align with specific business needs while ensuring confidentiality and maximizing efficiency. The one-size-fits-all approach of generic LLMs often falls short in meeting the unique demands of specific industries and safeguarding sensitive information.


The Case for Customizing LLMs: Precision, Efficiency, and Confidentiality


The customization of LLMs goes beyond mere technological refinement; it’s a strategic decision akin to crafting a unique blueprint for success. Custom LLMs offer numerous advantages:


  1. Relevance and Precision: Generic LLMs, while broad in knowledge, often lack the depth and industry-specific jargon necessary for certain business sectors. Custom models, on the other hand, are trained to understand and generate language tailored to specific industries, leading to outputs that are not only accurate but also highly relevant.

  2. Operational Efficiency and Cost-Effectiveness: Smaller, purpose-built LLMs typically require less computational power, making them faster to train and run. This results in lower operational costs and a more efficient AI system, crucial for businesses keen on maximizing their return on investment in AI technologies.

  3. Upholding Confidentiality: In the business world, the protection of proprietary information is a top priority. Customizing LLMs ensures that sensitive data used for training stays within the secure confines of the enterprise, preventing potential breaches that could occur if this data were to be processed externally.


Choosing Between Generic and Custom LLMs


Determining whether to deploy a generic LLM or a customized one is a decision that hinges on the specific needs and priorities of a business:


  • Generic LLMs are suitable when a broad spectrum of knowledge is needed, particularly in initial stages of AI adoption where the focus is on understanding AI's potential and limitations.

  • Customized LLMs become essential when businesses require deep, domain-specific knowledge or need to process confidential, proprietary information. They are also the go-to option when scaling AI operations to more advanced stages.

Generic vs. Custom LLMs: A Strategic Decision


While the choice between generic and custom LLMs depends on your business’s specific requirements, there really no alternative but to use some combination of both. Customized LLMs are indispensable for businesses needing domain-specific knowledge or processing confidential information.


Customizing LLMs: A Detailed Process


At mcSquared.AI our Gen AI experts have discovered that customizing LLMs involves a series of steps from defining objectives to continuous learning and updating. Continuous updating is essential for maintaining the relevance and accuracy of the custom LLMs.



  1. Objective Definition: The first step in customizing an LLM is to clearly outline the specific goals and requirements of the business. This involves identifying the particular knowledge domain or business process that the LLM will be addressing.

  2. Data Collection and Management: Gathering relevant, industry-specific texts, customer interactions, and internal documents is crucial. When dealing with proprietary data, it’s imperative that this collection process adheres to stringent data security protocols to ensure confidentiality.

  3. Model Training Techniques: The customization of LLMs can be approached in two primary ways:

  • Retrieval Augmented Generation (RAG): This involves training a custom LLM to retrieve information from a specific set of documents or databases. This approach is particularly useful for domain-specific knowledge where the model needs to pull in precise information from a predefined knowledge base, often consisting of proprietary data.

  • Fine-Tuning for Contextual Responses: Here, the model is fine-tuned to respond in ways that are contextually appropriate for the specific business environment. This technique is especially beneficial for personalizing customer interactions or generating responses that are aligned with the unique tone and style of the business.

  1. Continuous Learning and Updating: Implementing mechanisms for the LLM to update its knowledge base with the latest information is critical. In the context of using proprietary data, this involves establishing secure, internal data feeds that allow the model to stay current without compromising data security.

Building an Intelligent, Secure Framework with Customized LLMs and Intelligent Agents


The integration of Intelligent Agents into a framework of customized Large Language Models (LLMs) marks a transformative step in creating a dynamic, responsive, and efficient AI system within a business. These agents, specialized software components, enhance both task completion and enhanced reasoning, elevating the functionality and impact of LLMs.


  1. Task Completion Agents: Automate manual tasks, such as sending notifications or alerts when new information is available or an analytical job is completed. This automation streamlines workflows and increases overall efficiency.

  2. Better Reasoning Agents: Specialized software components that continuously update the LLM's knowledge base with new documents and information, ensuring its reasoning and outputs remain relevant and accurate over time.

  3. Data Security with Intelligent Agents: While enhancing functionality, these agents uphold strict data security protocols necessary for handling sensitive and proprietary data, ensuring the expanded capabilities do not compromise confidentiality.

  4. Monitoring, Maintenance, and Continuous Improvement: Regular monitoring and maintenance of both the LLMs and Intelligent Agents ensure optimal performance and continuous alignment with evolving business needs.


mcSquared.AI: Pioneering Custom AI Solutions


At mcSquared.AI, our team of AI experts excels in creating tailored AI solutions that align with your unique business needs. We specialize in:


  • Developing Customized AI Strategies: Our team crafts AI solutions tailored to your business, ensuring relevance and confidentiality. We have experience with taking public domain open-source LLMs and customizing them for specific industry and even functional purposes. For example, for a large Cancer drug research and commercialization biopharma, mcSquared.AI custom trained a Llama 2 model in the Hematology specialty with additional context about a liquid tumor that metastasizes into a form of blood cancer. The drug manufacturer's proprietary information about scientific evidence for their mechanism of action was then incorporated in the private customization of this model. The Llama 2 model was chosen not only because it can be deployed in a private environment and customized as opposed to OpenAI's GPT-4, but also because Llama 2 is shown to be 30 times cheaper than GPT-4 for equivalent levels of factuality in summarization.

  • Implementing Advanced AI Technologies: We integrate the latest AI advancements, including Intelligent Agents, for maximum operational efficiency and data security. mcSquared.AI's team has experience in using AI toolchains like LangChain to augment LLMs for a variety of personalization, state preservation, regeneration and automation tasks.

  • Providing Strategic AI Consulting and Support: Our experts offer strategic consulting to guide your AI journey and provide ongoing support for continuous system improvement.

Conclusion: Harnessing AI for Business Excellence with mcSquared.AI


In conclusion, joining the AI bandwagon is not just about adopting new technology; it's about strategically integrating AI to create meaningful value for your business. mcSquared.AI is your partner in this journey, offering the expertise and solutions you need to navigate the AI landscape effectively and securely. Let mcSquared.AI be your guide in harnessing AI for unparalleled business success.


Explore the possibilities of AI with mcSquared.AI. Visit our website for insights and solutions that will transform your business in the AI era. Let's shape the future together.


8 comentários


rojotin263
4 days ago

Nezumi no Medama mo Rokkuon! Omaeo Hatto mo Rokkuon!!!!

Curtir

bomedo8425
4 days ago
Curtir

bomedo8425
4 days ago

Nee ammani dhengichuko

Curtir

rojotin263
4 days ago

Sogeki no shimade.. Umareta Ore wa


Hyappatsu Hyakku Chu Ru ru ra ra ru ru

Curtir

rojotin263
4 days ago

Why did Oda never reveal Sogeking's true identity ?

Curtir
bottom of page