Most AI projects still fail, are too costly, or don't provide the value they hoped to gain. The root cause is nothing new: it's non-optimized models or code that runs the logic behind your AI Apps. The solution is also not new: tuning the system based on insights from Observability!
To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!
Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and Agents
Links we discussed
Nir's LinkedIn: https://www.linkedin.com/in/nirga/
OpenLLMetry: https://github.com/traceloop/openllmetry
Traceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub