@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency: float = 0.02 act_latency: float = 0.01 risk_gate: float = …
Tag:
Optimization
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Generative AI
A complete end-to-end coding guide for MLflow experiment tracking, hyperparameter optimization, model evaluation, and live model deployment.
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) …
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AI Tools
How to design an agent workflow for tool-driven route optimization with deterministic computation and structured output
In this tutorial, we create a production-style route optimizer agent for a logistics dispatch center using the latest Langchain Agent API. We design a tool-driven workflow in which the agent …
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Introduction The most performing, cost-effective Lakehouse is one that adapts itself to growing data volumes, query patterns, and organizational usage. Predictive Optimization (PO) in Unity Catalog enables this behavior by …
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AI Tools
How to align large language models with human preferences using direct preference optimization, QLoRA, and ultra-feedback
In this tutorial, we implement an end-to-end direct preference optimization workflow to align a large language model with human preferences without using reward models. We combine TRL’s DPOTrainer with QLORA …
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AI Tools
Microsoft AI proposes OrbitalBrain: enabling distributed machine learning in space with inter-satellite links and constellation-aware resource optimization strategies
Earth observation (EO) constellations capture large amounts of high-resolution imagery every day, but much of it does not reach the ground in time for model training. Downlink bandwidth is the …
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Dashboard performance issues rarely originate from a single location. They usually have combined effects dashboard design, warehouse concurrency and caching And Data layout in your lakehouse. If you optimize just …
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Generative AI
An In-depth Study of Coding in Distinct Computer Vision with Cornea Using Geometry Optimization, LOFTR Matching, and GPU Augmentation
We provide an advanced, end-to-end implementation cornea Tutorial and demonstrate how modern, disparate computer vision can be built entirely in PyTorch. We start by building GPU-accelerated, synchronized enhancement pipelines for …
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Generative AI
Microsoft Research Releases OptiMind: A 20B Parameter Model That Transforms Natural Language Into Solver Ready Optimization Models
Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers can execute. It targets a long-standing …
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Building intelligent agents to handle complex, real-world tasks can be difficult. Additionally, rather than relying solely on large, pre-trained foundation models, organizations often need to fine-tune and adapt smaller, more …
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