Artificial Intelligence (AI) technology is advancing at an unprecedented pace, largely driven by the rapid development and public release of new Large Language Models (LLMs). While these models offer impressive performance improvements, transitioning to newer versions can pose challenges due to variations in their output and behavior. These variations can often lead to unwanted and unexpected responses, which can negatively impact services. Ensuring the stability and quality of services during model transitions can be both time-consuming and technically demanding. To address these challenges, Visor.ai now offers two new multi-modal approaches: H.ermes and H.ermes 2!
What is H.ermes?
H.ermes and H.ermes 2 are multi-modal approaches that use state-of-the-art Large Language Models, specifically generative pre-trained transformers (GPT), developed internally by Visor.ai, along with classic machine learning models.
A multi-modal approach leverages the advantages of both deep learning and traditional machine learning, leading to potentially superior performance across a wide range of applications. Compared with classic machine learning techniques, the H.ermes multi-modal approach provides deeper reasoning and understanding of complex contexts, variability and ambiguity present in the human language. It can handle tasks such as summarization, text generation, and question answering. Each task can be customized through an intuitive, user-friendly interface, requiring no technical expertise.
On the other hand, compared with LLMs alone, multi-modal approaches benefit from the precision and accuracy that traditional machine learning models can offer for specific, narrow tasks.
Conclusion
These multi-modal approaches are designed to be continuously updated to keep pace with advancements in AI technology while maintaining the stability and quality of service for our clients. This is achieved by employing a variety of AI techniques to reduce AI hallucinations – a phenomenon where the model generates information that sounds plausible but is factually incorrect, misleading, or entirely fabricated. For clients who may require a smaller LLM model at reduced costs, Visor.ai offers H.ermes. Conversely, for clients needing a more powerful LLM model, Visor.ai provides H.ermes 2. Another advantage compared to other LLMs is the continuous client support provided by our teams.
