As your business races to innovate and improve processes with GenAI, you might be wrestling with the challenge of aligning GenAI models with your unique needs. Fine-tuning these models, keeping up with high-quality data sets, and dealing with a lack of automation can make the process seem overwhelming.

During a recent webinar, “Take Ownership of Your GenAI Models,” Surya Prabha Vadlamani, Vice President of Enterprise AI Solutions at Centific, and Forrester Senior Analyst Rowan Curran discussed how your business can build, align, and fine-tune your own GenAI models using internal data and support from AI data foundries. They also explored the importance of having the right partner.

Set the stage for success with GenAI models

Rowan opened the discussion by addressing the landscape for businesses adopting GenAI models. He emphasized that while the potential for innovation is immense, the journey to effective implementation is often fraught with challenges, particularly around fine-tuning GenAI models to meet specific business needs.

Take a strategic approach to GenAI with your own data

According to Rowan, one key to fine-tuning GenAI models is recognizing that no off-the-shelf solution will fully align with your company’s goals. Your businesses must take an active role in training and refining your GenAI models, using proprietary data that is unique to your industry and customer base.

Rowan continued by explaining that aligning GenAI models with specific business objectives is not just a technical challenge, but a strategic one. He stressed that fine-tuning models isn’t a one-time task but an ongoing process, requiring constant iteration and adjustment. As your business evolves and your customer preferences change, so too must the AI models you rely on.

This dynamic nature of AI development means that your company needs to be agile, adapting your models to new data and insights as they arise.

Take a deliberate approach to data management

A major obstacle Rowan highlighted was the data itself. Many businesses struggle to maintain the high-quality data sets necessary to fine-tune their GenAI models effectively. Poor data quality, gaps in data, or inconsistencies can lead to inaccurate outputs and misaligned AI behavior.

To combat this, Rowan advocated for a more deliberate approach to data management, where your business invests in processes to ensure data is continuously cleaned, enriched, and updated. Without this focus on data integrity, the most sophisticated GenAI models can fall short of delivering real value.

Rowan also noted that many organizations underestimate the importance of understanding the limitations of the data they’re working with. He emphasized that businesses should not only focus on feeding their GenAI models more data but also on ensuring that this data is relevant to the specific tasks the model is expected to perform.

In other words, your business should prioritize quality over quantity when it comes to data. This can make a significant difference in model performance.

Automate data fine-tuning

Finally, Rowan touched on the critical role of automation in managing the fine-tuning of GenAI models. With the vast amounts of data businesses are generating today, it’s simply not feasible to handle every aspect of fine-tuning manually.

Automation tools can help businesses optimize their GenAI models more efficiently, allowing teams to focus on strategic decision-making rather than getting bogged down in the technical intricacies of model development.

Automated systems can also help track performance metrics, ensuring that GenAI models continue to meet business goals as they evolve.

Conquer GenAI model complexity with the right platform

Prabha then discussed how a partner like the Centific AI data foundry can help you manage complex moving parts involved in fine-tuning and scaling GenAI models.

Businesses often face the choice of whether to build AI infrastructure in-house or buy pre-built solutions—both of which come with significant challenges. Building internally can lead to a patchwork of tools that are difficult to integrate, while off-the-shelf solutions lack the flexibility to truly align with your specific needs.

That’s where the Centific frontier AI data foundry platform comes in. We’ve created a platform that bridges the gap between foundational AI technologies and real-world business applications. Our platform is built to accelerate AI deployments by offering flexibility, security, and scalability.

With a modular, plug-and-play architecture, you’re never locked into rigid systems. Instead, you can scale AI solutions as your business evolves, ensuring that your GenAI models continue to align with your needs. 

Automate the AI lifecycle

Managing the vast amounts of data required for fine-tuning GenAI models can be a major pain point. That’s why we have built our platform to help automate much of the GenAI model fine-tuning process, reducing the burden on your internal teams.

Automation accelerates time-to-market by streamlining data processing, model training, and deployment. That way, you can focus on higher-level strategic initiatives without getting bogged down in technical complexities.

By taking care of many manual tasks, you can iterate more quickly, maintaining the agility you need to stay ahead of your competition.

Make AI secure and scalable 

According to Prabha, as your business scales its AI efforts, you need a platform that can handle both the computational demands of GenAI and the security challenges of working with sensitive data. This is another example of where a partner can do the heavy lifting to give you peace of mind.

By partnering with technology leaders like NVIDIA, we help ensure that your AI infrastructure is reliable. You can adopt AI solutions that are secure, scalable, and tailored to your unique business needs.

Define a partnership for success with GenAI models

We believe in more than just offering technology—we’re committed to being your trusted partner throughout your AI journey. Our AI data foundry provides the tools, expertise, and support you need to successfully navigate the entire AI lifecycle.

Taking ownership of your GenAI models means actively shaping them to fit your business. With the right tools, data, and partnerships, you can unlock the full potential of GenAI and drive measurable impact across your operations.

• Taking ownership of your GenAI models means actively shaping them to fit your business.

• We believe in more than just offering technology—we’re committed to being your trusted partner throughout your AI journey.

• By partnering with technology leaders like NVIDIA, we help ensure that your AI infrastructure is reliable