By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

Microsoft’s new large language model (LLM ... fine-tuning (SFT). Researchers used WildChat for conversational training. The last phase, direct preference optimization (DPO), is meant to improve ...

“Supervised fine-tuning helps the model learn what to say while DPO teaches it what not to say,” Jain said. SFT is preferred when using labeled input/output pairs and DPO when training data ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models ...