Finally, safety checks and alignment systems help ensure the response follows instructions and avoids harmful or misleading outputs.
The biggest misconception?
LLMs don’t search a giant database of answers.
They predict the most likely next token based on:
• Training
• Context
• Retrieved knowledge (RAG)
• Tool outputs
That’s what makes modern AI assistants so powerful.
#AI #LLM #Claude #Transformers #RAG #VectorDatabase #MachineLearning
If connected to tools, the model may use RAG (Retrieval-Augmented Generation):
Question → Embedding → Vector Database → Retrieve relevant documents → Add context → Generate grounded answer.