Generative AI (GenAI) is transforming the way businesses approach problem-solving and innovation. In the second part of the GenAI Insights from a Consultant’s Journey series, we explore key considerations for creating a successful GenAI strategy. From building your team to understanding the layers of AI knowledge, this video provides actionable takeaways and a practical demo.
1. Considerations for Creating a GenAI Team
A successful GenAI initiative starts with the right people. When forming a GenAI team, consider the following:
- Diverse Skill Sets: Include experts in data science, machine learning, cloud computing, and domain-specific knowledge.
- Collaboration: Foster a team environment where technical and non-technical members can align on objectives.
- Training: Invest in training to ensure the team can effectively use GenAI tools like AWS Kendra, Llama 2/3, or Power BI.
2. GenAI as a “Layer”
Generative AI is not a replacement for foundational skills—it’s a powerful enhancement. Think of GenAI as a “layer” that:
- Builds on your existing expertise and knowledge.
- Enhances workflows by automating repetitive tasks.
- Creates opportunities to solve problems faster and more creatively.
3. Transit Map of LLM Building
Do you need to build a brand-new Large Language Model (LLM) from scratch? Often, the answer is no. Consider these points:
- Use Pre-Trained Models: Platforms like AWS Q Business and OpenAI provide robust pre-trained models.
- Adapt Existing Models: Fine-tune models like Llama 2/3 for specific business needs.
- Evaluate Costs and Resources: Building an LLM requires significant investment in time, talent, and infrastructure. Assess whether adapting an existing model can achieve your goals more efficiently.
4. Demo: A Simple RAG Application
In this video, we demonstrate a Retrieval-Augmented Generation (RAG) application. This practical example showcases:
- How RAG combines existing knowledge bases with Generative AI to create accurate, context-aware outputs.
- A step-by-step guide for implementing a RAG workflow using tools like Power BI and Groq.
- How businesses can use RAG for customer support, knowledge management, and more.
Why This Matters
Building a successful GenAI strategy isn’t just about technology—it’s about people, processes, and making informed decisions. By understanding the layers of AI, leveraging pre-existing models, and fostering a well-equipped team, organizations can unlock the true potential of Generative AI.
Check out the full video on YouTube for a deeper dive into these topics and see the RAG demo in action! Visit https://proto-con.com to learn more about how ProtoCon LLC can help your business implement transformative GenAI solutions.
Don’t forget to like and subscribe. Let us know what you think and what topics you would like covered in the comment section.
