Credit: Image generated by Google Bard
Generative AI (GenAI) models like GPT, Gemini, PaLM, DALL-E, and others offer businesses powerful text generation, image creation, and language translation capabilities. These models have the potential to automate tasks, generate creative content, and improve customer experiences.
However, businesses face a unique challenge in capitalizing on GenAI’s potential. Language Large Models (LLMs) used in GenAI applications can hallucinate, making their outputs unreliable. The democratization of access to foundation models has also reduced the competitive advantage of proprietary models.
The key to creating differentiated GenAI solutions now lies in the data they are augmented