Lesson 5
41. When you submit a prompt to an LLM, it calculates the probability of the correct answer from its pre-trained model.
42. The probability is determined through a task called pre-training.
43. Pre-training an LLM involves feeding a massive dataset of text, images, and code to the model so that it can learn the underlying structure and patterns of the language.
44. This process helps the model to understand and generate human language more effectively.
45. In this way, the LLM works like a fancy autocomplete, suggesting the most common correct response to the prompt
45. But sometimes the LLM gives a completely wrong answer.
46. This is called a hallucination.
47. Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect
48. This happens because LLMs can only understand the information they were trained on.
49. This means that they might not be aware of your business's proprietary or domain-specific data.
50. Also, they do not have access to real-time information.
To be continued..check post 6