Optimize AI prompts by strategically structuring context, improving response quality, relevance, and task-specific performance across language models.

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pytorch🎯Skill

Streamlines deep learning workflows with PyTorch, enabling efficient model design, training, and deployment across neural network architectures.

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rlhf🎯Skill

Guides AI model fine-tuning through reinforcement learning with human feedback, improving alignment and performance

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agents🎯Skill

Develop, configure, and orchestrate AI agents with advanced prompting, tool integration, and multi-agent collaboration strategies

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qlora🎯Skill

Efficiently fine-tune large language models using quantized low-rank adaptation for memory-efficient and performant model customization

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mlx🎯Skill

Simplifies machine learning workflows with Apple's MLX framework, enabling efficient tensor operations and neural network development on Apple Silicon.

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transformers🎯Skill

Simplifies fine-tuning, inference, and deployment of transformer models like BERT, GPT, and T5 with optimized workflows and best practices

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lora🎯Skill

Implements LoRA fine-tuning techniques for efficient parameter-efficient model adaptation and transfer learning across large language models