model tuning - SmartCR

Generative AI

Fine‑Tuning vs. Full Retraining: Which Wins for Your Use Case?

model adaptation comparison methods

Great choices depend on your needs, but understanding which approach—fine-tuning or full retraining—best suits your use case can be challenging.

Aiko Tanaka
September 2, 2025

reinforcement learning multi task

Reinforcement Learning

Generalist Agents: RL for Multi-Task and Multi-Domain Skills

Keen to see how reinforcement learning enables agents to master multiple tasks and…

SmartCR Team
November 12, 2025

enhancing ai transparency reasoning

Generative AI

Improving Reasoning and Transparency in Generative AI Models

Many strategies exist to enhance reasoning and transparency in generative AI, but…

SmartCR Team
November 12, 2025

distributed edge workload management

AI in Edge Computing

Edge Orchestration: Managing Workloads Across Distributed Nodes

In edge orchestration, managing workloads across distributed nodes enhances performance…

SmartCR Team
November 11, 2025

ai accountability and safety

AI Technologies

Responsible AI: Measurement, Guardrails, and Customization

Navigating Responsible AI involves measurement, guardrails, and customization—discover…

SmartCR Team
November 11, 2025