What changes has the Large Language
Computers understand human language like humans do. NLP technical capabilities include Text classification It can identify the emotions and intentions expressed behind the text and use it for sentiment analysis and intention analysis Text extraction can be used to extract key data from text Machine translation can translate into different languages. Typical application scenarios of electronic contracts are "contract review" and "contract archiving". Before signing When the contract is drafted, NLP technology is used to automatically review the contract, identify grammatical or text errors in the contract, and determine whether there are legal risks in the contract based on the entered rules After signing After the contract is signed,NLP technology can be used to automatically extract important Austria WhatsApp Number data in the contract and generate a contract ledger (including signing entity, signing time, contract amount, etc.) for visual contract followup management. AI technologyelectronic contract represented by large language model (LLM) Large Language Model Large Language Model In one sentence a natural language processing model trained on largescale data using deep learning technology has strong text understanding and generation capabilities. Does it seem very similar to NLP, where large language models are just a technical implementation method in the field of NLP. "Language model" is the way of technical implementation. "Large" means that the amount of data used for training is large
https://lh7-us.googleusercontent.com/gM35PL8s1Lrkn6txlKaszbLBlvOas9BA43s-6H_azOK1ifvXgVOfB2YNl6hTFQWA88J2hp6szcMSIfsBjJdXhr6KVKdepFLEez6ywiCwMFlA7jJmKI_P0SpM5-fczXNJM38akjlxcsQ9fOK0de-3F4Y
enough! And LLM can conduct finetuned training on professional knowledge in specific fields. Its characteristic is that it can learn and capture complex relationships in text, has generalization capabilities, and can handle more complex tasks.Model (LLM) brought to the field of electronic contracts We have made the definition clear. Large language models are trained based on enough data and can be finetuned based on data in specific fields. They have powerful text understanding and generation capabilities and are widely used in natural language processing tasks.
頁:
[1]