Title
Forget PHDs - If they talk staff… it’s like assuming that a Dr is smart.
X+”ops” informs how. Data Ops and MLOPS, LLMOPS.
Data Sets, Sources, and Proprietary Training Data
Ask about Observability data backup, and interpretation.
API.
Auto Complete
ML feature weights
Data provisions and who owns the data.
To spot a "real" AI company, look for expertise in data operations (Data Ops), machine learning operations (MLOPS), and observability. Inquire about data sets, sources, proprietary training data, data backup, and interpretation. Also, ask about API, auto complete, ML feature weights, data provisions, and data ownership.