There is more than one way to adapt an LLM to your needs. #llm #aitools

Prompt engineering helps you shape better answers with clearer instructions.

In-context learning teaches the model through examples inside the conversation.

RAG lets the model pull in outside knowledge before answering.

Fine-tuning specializes a model for a specific task, domain, or workflow.

RLHF uses human feedback to improve model behavior over time.

The key is knowing which method fits the problem.

Not every AI problem needs fine-tuning.

Sometimes you just need a better prompt. Sometimes you need retrieval. Sometimes you need a specialized model.

Save this if you’re learning how AI systems are actually built.

#LLM #AISystems #PromptEngineering #RAG #RetrievalAugmentedGeneration #FineTuning #RLHF #ArtificialIntelligence #GenerativeAI #AIEngineering #LLMOps #MachineLearning #AIWorkflow #TechTok #LearnAI #AIForBusiness #FutureOfWork #AIEducation

Видео There is more than one way to adapt an LLM to your needs. #llm #aitools канала Sol Farahmand | AI For Business Workflows