Three key areas to focus on for successful GenAI deployment include using different large language models (LLMs) for different use cases, combining human and artificial intelligence, and outlining clear objectives and setting measurable parameters. Different LLMs excel at different tasks, and using multiple LLMs can yield better results. Combining human judgment with AI's analytical capabilities can maximize AI value and increase human efficiency. Lastly, a step-by-step approach to adoption and implementation, with clear objectives and measurable outcomes, can ensure the success of GenAI deployment.
Key takeaways:
- Generative artificial intelligence (GenAI) is rapidly gaining traction in the corporate world, with the potential to automate work activities that absorb 60 to 70 percent of employees’ time today.
- For successful implementation of GenAI, it's important to use different Large Language Models (LLMs) for different use cases, and not rely on a single core LLM.
- Combining human and artificial intelligence, or 'collaborative intelligence', can maximize the value of AI and increase human efficiency and effectiveness.
- For successful GenAI deployment, it's crucial to outline clear objectives, set measurable parameters, and make necessary adjustments at each development stage.