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From RAG to ontology: Databricks bets on context as the key to trusted AI agents
First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology. Currently in preview, Genie...
10 tips for getting better R code from your AI coding agent
Most generative AI tools know less about R than languages like JavaScript and Python, thanks to how much training data is available for each. However, with a little extra setup, you can give a large language model (LLM) the knowledge it needs to improve its R skills....
Designing frontend systems for cloud latency, not just cloud failure
Frontend reliability is often discussed in terms of outages. Teams prepare for failed API calls, downtime and visible crashes because those failures are easy to recognize and measure. However, in many modern applications, the bigger challenge is not complete failure...