12 Steps to Getting Started with GenAI
Enver Cetin
The rapidly evolving AI landscape is reshaping industries. In this transformative era, Enver Cetin, Senior Manager of Intelligent Automation at Ciklum, offers a twelve-step blueprint for businesses eager to start implementing Generative AI (GenAI).
Key Takeaways:
- Start with a few simple tasks for the GenAI solution instead of relying on it for everything.
- Outside real-life tasks, dedicate time to conducting experiments that gauge the effectiveness of GenAI across different scenarios.
- Understand model-based evaluation and other methods and metrics used to rate GenAI output.
The Importance of GenAI in Today's World
Before diving into the twelve steps, it's essential to understand the significance of GenAI in the current technological landscape. GenAI is not just another buzzword; it's a transformative technology that has the potential to redefine how businesses operate. From automating mundane tasks to generating creative content, the applications are endless.
12 Steps to Getting Started with GenAI
Understand the Landscape
The potential of GenAI is vast, but understanding it first is crucial. You need to know what you can expect from it and what is still not achievable. From there you can start thinking about what your organization really needs and what it would benefit from. A discovery phase is crucial to ensure what you implement is value-adding for your business and customers. GenAI is revolutionizing the way businesses interact, personalizing contact with customers or employees. This involves conducting a thorough market analysis and consulting experts in the field.
Start Small
The allure of GenAI's possibilities can be overwhelming. Transformation of the entire customer experience is the goal, but begin with a segment. Don't rush. Master one aspect well before exploring the extensive possibilities. This approach minimizes risk and allows for more focused learning and adaptation.
Experiment Now
While planning and strategizing are essential, there's no substitute for actual experimentation. Theoretical knowledge can only take you so far; real-world application provides invaluable insights that can guide your GenAI journey. This process demystifies GenAI, making it more approachable and less intimidating. Testing and iterating with PoCs is a vital first step.
Integrate Systems Thoughtfully
GenAI’s utility extends across diverse databases and systems. Challenges arise when merging different systems and databases. Do not rush this phase; prioritize seamless integration to gain the best of the GenAI's power. Consider hiring or consulting with integration specialists to ensure a smooth transition.
Our comprehensive guide on GenAI explores this point in more detail.
Focus on Accessibility
We want no barriers for customers using the system. A system is only good if it is used without problems by its intended users. Accessibility should extend not just to the user interface but also to customer support and documentation.
Maintain Data Quality
Good output requires good input. GenAI, like all AI, thrives on quality data. It's crucial to avoid 'hallucinations' or errors which can dilute AI effectiveness. Regular audits of the data input can help maintain its quality.
Emphasize Personalization
One of GenAI's best capabilities is personalization. GenAI can create a unique and immersive experience. This nuance can redefine the future of brand and employee loyalty. This is particularly useful in sectors like e-commerce, where personalized recommendations can significantly boost sales.
Gather Feedback
The process of implementing and using GenAI is iterative. Understand who will use the AI, ensure they're actively engaged and knowledgeable. Their feedback refines the journey. Use surveys and interviews to gather this invaluable feedback.
Scale Gradually
Success in initial stages should pave the way for broader horizons. Involve gradually more and more stakeholders, enveloping the entire company in the GenAI transformation over time. Scaling should be strategic, taking into account both technical capabilities and human resources.
Educate and Train
Ensure that your team understands GenAI. Dedicate time for education. The more knowledgeable your team, the smoother the implementation. This could be in the form of workshops, webinars, or even bringing in experts for in-house training.
Stay Updated
The AI domain is dynamic. Every industry is changing due to AI. To avoid obsolescence, staying updated is non-negotiable. Subscribe to industry journals, attend conferences, and engage with the community to stay ahead.
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Inaction is the Greater Hazard
The risk of not engaging with GenAI in your business is immensely higher than any other risk that comes from using GenAI in your business.
Explore the potential of AI through our latest article on how businesses are leveraging innovative technologies. Check out these Practical Generative AI Examples to see how cutting-edge solutions are revolutionizing the industries and driving unprecedented efficiencies.
How to Experiment with GenAI Effectively
Before you can rely on GenAI for high-stakes work frequently, you need to experiment with it as mentioned above. However, many people don't know how to maximize this experimental phase. Lately, the focus has been on understanding how prompts work.
While there’s a lot you can learn from these experiments, there are two important discoveries new GenAI users should make in this phase:
1. How Close are the Results to the Requests you Input?
Take text to image tools where you describe a desired image and the GenAI tool creates one from the words in your prompt. You should try using closely related adjectives to see just how different their results are and what happens when you combine several of those synonyms.
Additionally, try combining adjectives with different meanings to see which is more accurately represented in the results. Such exercises help you gauge how well the tool has been trained and which tasks it's more likely to excel at.
2. How Quickly Can you Arrive at a Desired Result?
While many GenAI tools can produce a fairly useful result on the first try, many require more prompts and iterations to fine-tune the result. Others have very little room for improvement after the first draft. The purpose of this particular experiment is to determine which tasks you’d rather keep doing manually, which ones you can put some GenAI into and which you can entirely delegate to a GenAI solution. This saves you from wasting time using GenAI for a task it’s still not ready for.
Accordingly, it helps to learn how precision (result relevance) and recall (frequency of relevant results) contribute to the F1 (balanced average) score. New GenAI users hoping to maximize it can also learn more about when to use pointwise and pairwise metrics for evaluating GenAI tools. They may also benefit from understanding how auto-raters and human-driven calibration help in model-based evaluation and when to use them.
If you're serious about unlocking (determined to unlock) the full potential of GenAI for your business, the next logical step is to consult with seasoned professionals. Ciklum offers specialized AI solutions that are custom-fit to your organizational needs. Take action now and contact Ciklum's team of AI experts to ensure your business stays ahead in the competitive landscape.
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