Peter Marelas
Trust and observability in the age of AI-driven automation
As AI gains autonomy, job roles are evolving to support and enhance its learning. Specialists are needed to engineer model prompts and produce curated datasets that can fine-tune models and address unwanted behaviors. Data and AI engineers can bridge the gap between human expertise and machine learning, requiring #AI skills and domain knowledge only…
The evolving landscape of AI: How observability is shaping the future of LLMs
#AI has undoubtedly been one of the biggest focus areas in the tech industry in 2023. Throughout the year, we’ve seen AI evolve and iterate to adapt to a rapidly changing–and at times turbulent–digital landscape, with many companies being left behind and others excelling as a result. This adaptability will continue into 2024, but with observability playing…
