itsmostafa/llm-engineering-skills

1

mlx Running and fine-tuning LLMs on Apple Silicon with MLX. Use when working with models locally on Mac, converting Huggi…

itsmostafa/llm-engineering-skills

84

2

context-engineering Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conve…

itsmostafa/llm-engineering-skills

26

3

prompt-engineering Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instru…

itsmostafa/llm-engineering-skills

26

4

lora Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limi…

itsmostafa/llm-engineering-skills

25

5

pytorch Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data …

itsmostafa/llm-engineering-skills

24

6

rlhf Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about…

itsmostafa/llm-engineering-skills

21

7

agents Patterns and architectures for building AI agents and workflows with LLMs. Use when designing systems that involve to…

itsmostafa/llm-engineering-skills

20

8

qlora Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on co…

itsmostafa/llm-engineering-skills

19

9

transformers Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the …

itsmostafa/llm-engineering-skills

18