Conformer2 vs Observo: Which is better?

Conformer-2 is an advanced AI model designed for automatic speech recognition. It has been trained on 1.1 million hours of English audio data, resulting in significant improvements over its predecessor, Conformer-1. This model focuses on enhancing the recognition of proper nouns, alphanumerics, and noise robustness.The development of Conformer-2 was driven by the scaling laws proposed in DeepMind's Chinchilla paper, which highlighted the importance of sufficient training data for large language models. Consequently, Conformer-2 has been trained on a substantial amount of data, utilizing 1.1 million hours of English audio.One notable feature of Conformer-2 is its adoption of model ensembling. Instead of relying on predictions from a single teacher model, Conformer-2 generates labels from multiple strong teachers. This ensembling technique reduces variance and enhances the model's performance when faced with unseen data during training.Despite the increased model size, Conformer-2 offers improvements in terms of speed compared to Conformer-1. The serving infrastructure has been optimized to ensure faster processing times, achieving up to a 55% reduction in relative processing duration across all audio file durations.In real-world applications, Conformer-2 demonstrates significant enhancements in various user-oriented metrics. It achieves a 31.7% improvement on alphanumerics, a 6.8% improvement on proper noun error rate, and a 12.0% improvement in noise robustness. These improvements are a result of both increased training data and the use of an ensemble of models.The Conformer-2 model is ideal for generating accurate speech-to-text transcriptions, making it a valuable component for AI pipelines focused on generative AI applications that utilize spoken data.

Observo is an AI-powered Observability Pipeline designed for Security, IT, and DevOps data. Going beyond static, rules-based observability pipelines, Observo offers a dynamic, continually learning solution that adapts to the user's data over time. Its key capabilities include data optimization and reduction, smart routing, anomaly detection, a searchable low-cost data lake, data enrichment, and sensitive data discovery. In terms of data optimization and reduction, it significantly cuts log volumes, leading to substantial reductions in the total cost of observability. The smart routing feature avoids vendor lock-ins by appropriately routing data where it adds the most value. Feedback from industry leaders suggests that Observo assists in cost reductions and enhances incident detection & response capabilities.