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Paper and LLMs

Paper and LLMs

Realtime Monitoring: LLM.Report provides real-time insights into AI application performance, usage patterns, and costs, enabling better decision-making and prompt optimization. User Analytics: This feature offers a deep understanding of user behavior and the costs associated with different users, which can lead to more informed user engagement strategies. Open-Source: Being an open-source platform, it allows developers to contribute, customize, and adapt to their specific needs. Data Export and Alerts: Upcoming features include data exports and email/Slack alerts, which can aid in proactive monitoring and providing timely responses to issues.

Speed: Training open-source language models requires time and specialized knowledge. Taylor AI empowers your engineering team to focus on generating real business value, rather than deciphering complex libraries and setting up training infrastructure. Data Privacy: Working with third-party LLM providers requires exposing your company's sensitive data. Most providers reserve the right to re-train models with your data. With Taylor AI, you own and control your models. Cost: Break away from the pay-per-token pricing structure. With Taylor AI, you only pay to train the model. You have the freedom to deploy and interact with your AI models as much as you like. State-of-the-art LLMs: New open-source models emerge every month. Taylor AI stays current on the best open-source language models, so you don't have to. Stay ahead, and train with the latest open-source models.

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