Episodes (Page 14)
✨
OWL: Optimized Multi-Agent Assistance for task automation.
✨
Episode: Generalized Kullback-Leibler Divergence Loss for Enhanced Learning
✨
Unsloth simplifies LLM fine-tuning with LoRA/QLoRA for beginners.
✨
Episode: Introducing the New PyTorch Landscape
✨
Deep learning designs complex RF/sub-terahertz circuits rapidly.
✨
Monocular depth estimation improved using unlabeled data.
✨
MHA2MLA fine-tunes LLMs for efficient MLA architecture.
✨
SWE-RL uses reinforcement learning for software engineering LLMs.
✨
Amazon uses SAT solving to optimize quantum circuit mapping.
✨
LM Studio SDKs enable local AI integration via Python/TypeScript.
✨
AI agents, DeFi, and decentralized virtual ecosystems explored.
✨
LLMs playing Among Us and The Chameleon Game to study strategic behavior
✨
AN/UYK-1: Stored Logic computer for Navy ships.
✨
LLMs in 'The Chameleon Game' for information control.
✨
Training code generation models for self-debugging.
✨
Enhancing GameFi with AI agents and DeFi.
✨
Amazon Science improves code generation via debugging.
✨
Accelerating Generative AI (SAM2) with PyTorch.
✨
V-HOP: Visuo-Haptic 6D Object Pose Tracking.
✨
FACTR: Force-Attending Curriculum Training.