[[Category:GPT Industries, LLC]]
...ditionalProperty":[{"@type":"PropertyValue","name":"Organization","value":"GPT Industries, LLC"}]}}
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2 KB (243 words) - 18:56, 3 July 2025
= AGENTIC GPT-BASED INTERACTIVE ELECTROCARDIOGRAPHIC ANALYSIS =
...ermitType":"Patent Application","identifier":"20250228502","name":"Agentic Gpt-based Intera","additionalProperty":[{"@type":"PropertyValue","name":"Organi
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3 KB (353 words) - 02:32, 21 July 2025
= SMART PROMPT GENERATOR FOR GPT MODELS =
...generative pre-trained transformer (gpt) model. the prompt is input to the gpt model to identify a condition in the telecommunications network.
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2 KB (313 words) - 19:26, 3 July 2025
...representative of a scene of the av; and determining, by a decoder of the gpt-based trajectory generation model, a sequence of av waypoint predictions fo
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2 KB (331 words) - 19:07, 3 July 2025
...em may swap the LLM 130 using other LLMs (e.g., switching between GPT-3 to GPT-4) for generating answers based on user queries. GPT3 was trained on 45TB o
...em may swap the LLM 130 using other LLMs (e.g., switching between GPT-3 to GPT-4) for generating answers based on user queries.).
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21 KB (3,152 words) - 17:55, 22 May 2025
[[Can I patent a GPT Wrapper?]]
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6 KB (888 words) - 16:15, 31 July 2025
...-Shot Learning. In this approach very large (billions of parameters, e.g., GPT-3) NLP models are trained to generate text on ever larger unlabelled traini
...-Shot Learning. In this approach very large (billions of parameters, e.g., GPT-3) NLP models are trained to generate text on ever larger unlabelled traini
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38 KB (5,588 words) - 16:21, 25 May 2025
* '''[https://wikipatents.org/index.php?search=gpt Gpt]''': Core technology area
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11 KB (1,433 words) - 16:06, 7 July 2025
...Gt is calculated in step S40 as a sum of the weighted target deceleration Gpt and the weighted target deceleration Gst, and the target front-wheel brakin
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18 KB (2,737 words) - 01:26, 23 May 2025
* '''[[Gpt]]''': Core technology area
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12 KB (1,515 words) - 06:24, 14 August 2025
* '''[[Gpt]]''': Core technology area
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12 KB (1,534 words) - 14:51, 7 August 2025
...networks, audio/video processing), Generative AI models (including GPT-3, GPT-3.5, BERT, ALBERT), and user interfaces (including graphical, voice, video,
...specific types of known computational models (ML, CNN, Generative AI like GPT, BERT) as tools for analysis without describing a specific technical improv
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49 KB (6,765 words) - 02:39, 23 May 2025
* '''[[Gpt]]''': Core technology area
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11 KB (1,523 words) - 11:11, 21 August 2025
...odel (LLM—Smith:¶ 54, 70: output generated using predictive models such as GPT, BERT, etc.); the system additionally operative to generate the output by i
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18 KB (2,681 words) - 16:31, 25 May 2025
...ng “GPT-3” in paragraph [0065] with “Generative Pre-trained Transformer 3 (GPT-3)”. Appropriate correction is required.
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70 KB (10,641 words) - 16:10, 25 May 2025
...e key advantage of BERT and similar techniques (e.g., ELMo [56] and OpenAI GPT [59]) is contextual text embedding. BERT provides different word embedding
...e key advantage of BERT and similar techniques (e.g., ELMo [56] and OpenAI GPT [59]) is contextual text embedding. BERT provides different word embedding
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82 KB (12,357 words) - 03:04, 23 May 2025
...rogram repair, we prepare prompts following a template: We utilize OpenaAI GPT-3 Davinci model, a 175 billion parameter language model and a close sibling
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29 KB (4,289 words) - 15:59, 25 May 2025
Chintagunta et al. ("Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization")
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93 KB (14,347 words) - 07:12, 23 May 2025