Below you will find example sentences with "language models". The examples show how this phrase is used in natural context and which words often surround it.
Language Models in a sentence
Corpus data
- Displayed example sentences: 20
- Discovered as a combination around: models
- Corpus frequency in the collocation scan: 9
- Phrase length: 2 words
- Average sentence length: 27.3 words
Sentence profile
- Phrase position: 9 start, 8 middle, 3 end
- Sentence types: 19 statements, 1 questions, 0 exclamations
Corpus analysis
- The phrase "language models" has 2 words and usually appears near the start in these examples. The average sentence has 27.3 words and is mostly made up of statements.
- Around this phrase, patterns and context words such as 79 large language models llms dometically, ai large language models llm in, large, llms and chatgpt stand out.
- In the phrase index, this combination connects with sign language, english language and programming language, linking the page to nearby combinations.
Example types with language models
This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:
Chatbots learn and improve using machine learning algorithms and large language models. (12 words)
With the rise of large language models, customized models have become a commodity similar to apps. (16 words)
Are language models like GPT going to benefit, and what will that mean for regular users? (16 words)
By now we know how crucial it is to have quality data for use by large language models (LLMs), but getting data ready for the models has been an early challenge for companies, an opening that represents an opportunity for an enterprising entrepreneur. (43 words)
Distributional’s core product aims to detect and diagnose AI “harm” from large language models (à la OpenAI’s ) and other types of AI models, attempting to semi-automatically suss out what, how and where to test models. (38 words)
The thing that has captured everyone’s imagination over the course of the last 14 months is generative AI, the ability of these large language models to deal in both in natural language, do amazing things with coding. (38 words)
Are language models like GPT going to benefit, and what will that mean for regular users? (16 words)
Example sentences (20)
Distributional’s core product aims to detect and diagnose AI “harm” from large language models (à la OpenAI’s ) and other types of AI models, attempting to semi-automatically suss out what, how and where to test models.
Large language models are different from traditional language models in that they use a deep learning neural network, a large training corpus, and they require millions or more parameters or weights for the neural network.
Such small language models are small enough to run on device and still offer quicker responses to AI queries compared to traditional large language models, the company said.
With the rise of large language models, customized models have become a commodity similar to apps.
By now we know how crucial it is to have quality data for use by large language models (LLMs), but getting data ready for the models has been an early challenge for companies, an opening that represents an opportunity for an enterprising entrepreneur.
However, they hope their work will serve as a call to action for institutions and organizations that have the resources to build the largest language models to invest in accelerating lightweight models.
The cache language models upon which many speech recognition systems now rely are examples of such statistical models.
The large language models (LLMs) behind ChatGPT and similar applications are usually trained on broad swaths of language data scraped from the web.
It refers to language models that don't understand the meaning behind the language they're using, much like a parrot.
The thing that has captured everyone’s imagination over the course of the last 14 months is generative AI, the ability of these large language models to deal in both in natural language, do amazing things with coding.
AI-Assisted Investigation leverages large language models (LLMs) to provide analysts with a simple way to gather 360 degrees of context on entities under attack.
Anthropic, ChatGPT-maker OpenAI and other major developers of AI systems known as large language models say they're hard at work to make them more truthful.
Are language models like GPT going to benefit, and what will that mean for regular users?
Bindra points to UAEтАЩs recent success in developing large language models attuned to Arabic as an inspiring example, albeit for a much smaller nation.
But AI is more than just large language models, as we'll be reminded this week at Nvidia's annual GTC conference.
But while we tend to focus on Copilot for its impressive, if still nascent, code-generation capabilities, there are even better, more immediately impactful opportunities for AI/large language models (LLM) in software development.
Chatbots learn and improve using machine learning algorithms and large language models.
ChatGPT and other large language models learn what answers, what predicted sequences of text, are good and bad through feedback from users, the development team and contractors hired to label the output.
Chinese organisations have launched 79 large-language models (LLMs) dometically over the last three years, doubling down on efforts to develop artificial intelligence (AI) algorithms, state-run research institutes said last month in a report.
Criminals are already using ChatGPT to commit crimes, Europol said in a Monday report that details how AI language models can fuel fraud, cybercrime, and terrorism.