Large Language Models (LLMs) are neural networks designed to understand and generate content by analyzing relationships within data sequences. Although the rapid development of LLMs can be overwhelming, there are increasingly user-friendly tools to harness their power. LLMs are capable of generating text, translating languages, creating AI assistants and chatbots, and enhancing search capabilities. Key techniques for interacting with LLMs include prompt engineering, parameter adjustment, and fine-tuning. However, LLMs may suffer from “hallucination,” where the model generates plausible but incorrect text. Newer techniques such as Retrieval Augmented Generation and semantic search can help mitigate this issue.
Want to get started with LLMs? Here’s what you need to know
Large Language Models (LLMs) are neural networks designed to understand and generate content by analyzing relationships within data sequences. Although the rapid development of LLMs can be overwhelming, there are increasingly user-friendly tools to harness their power. LLMs are capable of generating text, translating languages, creating AI assistants and chatbots, and enhancing search capabilities. Key techniques for interacting with LLMs include prompt engineering, parameter adjustment, and fine-tuning. However, LLMs may suffer from “hallucination,” where the model generates plausible but incorrect text. Newer techniques such as Retrieval Augmented Generation and semantic search can help mitigate this issue.