What is a Large Language Model (LLM)?

Large Language Models (LLMs) are powerful artificial intelligence systems trained to understand, generate, and respond to human language. These models utilize vast amounts of text data and complex algorithms to provide contextually relevant and coherent responses. They can handle a wide range of tasks, including writing text, answering questions, summarizing documents, and assisting with research. The choice of platform and specific LLM depends on particular requirements and objectives. For example, OpenAI’s Co-Pilot is known for its versatility and user-friendliness, making it a good choice for general use cases. It is especially useful for tasks such as writing and editing text or supporting legal research.

Proprietary solutions, on the other hand, are specifically developed for use in the legal field. These models offer tailored functionalities designed to meet the needs of legal professionals. For instance, Harvey can assist with contract analysis and identifying relevant legal precedents, while Beck-Chat, through its integration with Beck’s comprehensive legal database, is particularly useful for research and accessing specific legal information. By understanding the unique strengths and specializations of these LLMs, legal professionals can select the solution best suited to their specific needs, thereby significantly improving their efficiency and accuracy in everyday work.

At the end of the day, LLMs are tools that can help you make your work more efficient. However, they are only as effective as the person using them. To get the most out of these tools, mastering the art of prompting is essential—and that is exactly what the following chapters of this guide are all about.