|
Small Language Model
Small language models (SLMs) are artificial intelligence language models designed for human natural language processing including language and text generation. Unlike large language models (LLMs), small language models are much smaller in scale and scope. Typically, an LLM's number of training parameters is in the hundreds of billions, with some models even exceeding a trillion parameters. The size of any LLM is vast because it contains a large amount of information, which allows it to generate better content. However, this requires enormous computational power, making it impossible for an individual to train a large language model using just a single computer and GPU. Small language models, on the other hand, use far fewer parameters, typically ranging from a few million to a few billion. This make them more feasible to train and host in resource-constrained environments such as a single computer or even a mobile device. See also * Edge computing Edge computing is a distribu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Language Model
A language model is a model of the human brain's ability to produce natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation,Andreas, Jacob, Andreas Vlachos, and Stephen Clark (2013)"Semantic parsing as machine translation". Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval. Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word ''n''-gram language model. History Noam Chomsky did pioneering work on lan ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Natural Language Processing
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence. It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics. Major tasks in natural language processing are speech recognition, text classification, natural-language understanding, natural language understanding, and natural language generation. History Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled "Computing Machinery and Intelligence" which proposed what is now called the Turing test as a criterion of intelligence, though at the time that was not articulated as a problem separate from artificial intelligence. The proposed test includes a task that involves the automated interpretation and generation of natural language ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Generative Artificial Intelligence
Generative artificial intelligence (Generative AI, GenAI, or GAI) is a subfield of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. These models Machine learning, learn the underlying patterns and structures of their training data and use them to produce new data based on the input, which often comes in the form of natural language Prompt (natural language), prompts. Generative AI tools have become more common since an "AI boom" in the 2020s. This boom was made possible by improvements in transformer (machine learning model), transformer-based deep learning, deep neural networks, particularly large language models (LLMs). Major tools include chatbots such as ChatGPT, Microsoft Copilot, Copilot, Gemini (chatbot), Gemini, Grok (chatbot), Grok, and DeepSeek (chatbot), DeepSeek; text-to-image models such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video models such as Sora (text-to-video model), Sora and Veo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Large Language Models
A large language model (LLM) is a language model trained with Self-supervised learning, self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially Natural language generation, language generation. The largest and most capable LLMs are Generative pre-trained transformer, generative pretrained transformers (GPTs), which are largely used in Generative artificial intelligence, generative Chatbot, chatbots such as ChatGPT or Gemini (chatbot), Gemini. LLMs can be Fine-tuning (deep learning), fine-tuned for specific tasks or guided by prompt engineering. These models acquire Predictive learning, predictive power regarding syntax, semantics, and Ontology (information science), ontologies inherent in human Text corpus, language corpora, but they also inherit inaccuracies and Algorithmic bias, biases present in the Training, validation, and test data sets, data they are trained in. History Before the emergence of transformer-bas ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Graphical Processing Unit
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles. GPUs were later found to be useful for non-graphic calculations involving embarrassingly parallel problems due to their Parallel computing, parallel structure. The ability of GPUs to rapidly perform vast numbers of calculations has led to their adoption in diverse fields including artificial intelligence (AI) where they excel at handling data-intensive and computationally demanding tasks. Other non-graphical uses include the training of Artificial neural network#Training, neural networks and GPU mining, cryptocurrency mining. History 1970s Arcade system boards have used specialized graphics circuits since the 1970s. In early video game hardware, Random-access memory, RAM for frame buffers was ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Edge Computing
Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the Latency (engineering), latency compared to when an application runs on a centralized data centre. The term began being used in the 1990s to describe Content Delivery Network, content delivery networks—these were used to deliver website and video content from servers located near users. In the early 2000s, these systems expanded their scope to hosting other applications, leading to early edge computing services. These services could do things like find dealers, manage shopping carts, gather real-time data, and place ads. The Internet of Things (IoT), where devices are connected to the internet, is often linked with edge computing. Definition Edge computing involves running computer programs that deliver quick responses Locality of reference, close to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Language Modeling
A language model is a model of the human brain's ability to produce natural language. Language models are useful for a variety of tasks, including speech recognition, machine translation,Andreas, Jacob, Andreas Vlachos, and Stephen Clark (2013)"Semantic parsing as machine translation". Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). natural language generation (generating more human-like text), optical character recognition, route optimization, handwriting recognition, grammar induction, and information retrieval. Large language models (LLMs), currently their most advanced form, are predominantly based on transformers trained on larger datasets (frequently using words scraped from the public internet). They have superseded recurrent neural network-based models, which had previously superseded the purely statistical models, such as word ''n''-gram language model. History Noam Chomsky did pioneering work on lang ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
