deployment

Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LightRT from its preview phase to a fully production-ready stack. Moving forward, LiteRT …

best_C = best(“params”)(“C”) best_solver = best(“params”)(“solver”) final_pipe = Pipeline(( (“scaler”, StandardScaler()), (“clf”, LogisticRegression( C=best_C, solver=best_solver, penalty=”l2″, max_iter=2000, random_state=42 )) )) with mlflow.start_run(run_name=”final_model_run”) as final_run: final_pipe.fit(X_train, y_train) proba = final_pipe.predict_proba(X_test)(:, 1) …

At Databricks, our core focus is to enable customers to achieve their business outcomes with measurable impacts. In our professional services teams, we are implementing this through our OKR-focused delivery …

What no one tells you about bringing large language models to production: It starts with user stories. I know I know. User stories feel like the product team is always …

Tencent Hunyuan researchers have released HY-MT1.5, a multilingual machine translation family that targets both mobile devices and cloud systems with the same training recipe and metrics. HY-MT1.5 includes 2 translation …

Image by author , Introduction You may have trained countless machine learning models at university or on the job, but have you ever deployed one so that someone could use …