What is a vector database? Why it always comes with RAG
Vector databases have become almost a high-frequency word in RAG solutions, and many people think it's a heavy infrastructure. In fact, from a functio...
Admin •
42
What are AI hallucinations? Why would the big model be wrong seriously?
AI hallucinations are one of the biggest headaches for many people when using large models. Obviously, the tone of the model is very firm, and the str...
Admin •
49
What is Embedding? Why semantic search and knowledge retrieval are inseparable from it
Embedding is a low-level capability used in many AI applications, but it is not as easily perceived by ordinary users as chat models. In simple terms,...
Admin •
46
What is fine-tuning? When to choose a fine-tuning instead of continuing to pile prompts or RAGs
Fine-tuning is a word that many teams encounter when implementing AI, but it is often misunderstood as "fine-tuning the model as long as the effect is...
Admin •
47
Is it still necessary to learn prompt word engineering? What skills should ordinary users master?
The term prompt word engineering used to be very popular, but as the model ability became stronger and stronger, many people began to wonder if it was...
Admin •
48
What is a multimodal model? What is the difference between it and an AI that can only process text?
The term multimodal model has been frequently used in AI product introductions lately, but many people don't really know what capabilities it has over...
Admin •
50