Getting Started with Generative AI in Self-Service
Generative AI tools like ChatGPT, BARD, and other machine learning models are taking the world by storm. But before you throw your whole knowledge base into a large language model, consider these three key areas for making generative AI enterprise-ready.
Generative AI applications have the potential to be paradigm-shifting — but not without careful thought. This quick, 3-minute infographic will equip you with the insights needed to develop a plan around choosing a use case for your generative AI system, build a solid content foundation to draw on, and what you’ll need to mitigate accuracy and data security risks.
Harness the powerful abilities of generative AI models, intelligently.
Generative artificial intelligence tools like Bard and ChatGPT are examples of mainstream natural language processing (NLP) models.
When it comes to text-based content, Generative AI algorithms are exciting for many reasons, but particularly for its ability to generate a structured human-sounding response to a natural language query. Because of this, there are several solid use case applications for generative AI. But how do you choose which makes sense for your enterprise?
The promise of generative AI for your organization lies in the specific use case (or cases) you’ll develop. There are use cases for creating knowledge, for providing answers, and for and using it from a classification perspective.
It's not about replacing humans, it's about augmenting roles and focusing on what makes generative AI work in the first place — a solid foundation of knowledge.
While there are certainly limitations to this technology, generative AI has the capability to become the next ubiquitous tool in our daily lives.
A generative AI tool like ChatGPT is a conversational agent built on top of a large language model.
A large language model is a very large neural network trained to understand and generate human language. It is that vast knowledge of language that allows us to apply these machine learning models to a wide range of applications.
Large language models are key to transforming digital experiences. Coveo’s mission is to democratize artificial intelligence, allowing enterprises to modernize their digital service and retail offerings.
At the same time, we remain committed to providing accuracy, trust, confidentiality, and security to our clients.
These tools, while powerful, aren't plug and play. They require massive amounts of data to train and no small amount of effort to use effectively. There's no silver bullet when it comes to generative AI and there are many things to consider when looking at the technology.
Generative AI tools can take your self-service experience to the next level, but by itself comes with accuracy and data security risks. An AI-search platform like Coveo can ensure your existing data remains secure, and provide clarity, credibility, and confirmation for your customers.
