Large language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...

A Large Language Model (LLM) is a machine learning model trained on a vast corpus of text data to perform tasks related to natural language understanding and generation.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Case summarization and text-to-code are both powered by ServiceNow’s proprietary large language model, which was developed specifically to comprehend the Now Platform and its workflows ...

Students often train large language models (LLMs) as part of a group. In that case, your group should implement robust access ...

At first glance, building a large language model (LLM) like GPT-4 into your code might seem simple. The API is a single REST call, taking in text and returning a response based on the input.But in ...

The Codey text-to-code LLM is another foundation model that has received an update, one which, according to Google, provides up to a 25% quality improvement for code generation.

Large language models (LLMs) have become a cornerstone for various applications, from text generation to code completion. However, running these models locally can be a daunting task, especially ...

On natural language reasoning tasks, models trained on code consistently outperformed text-only models. Interestingly, the researchers found that pre-training the model with 100% code data led to ...

This paper introduces a novel human-LLM interaction framework, Low-code LLM. It incorporates six types of simple low-code visual programming interactions, all supported by clicking, dragging, or text ...

The text-to-code Now LLM was purpose-built on a specialized version of the 15 billion parameter StarCoder LLM, which was developed through the ServiceNow co-led, ...