Archives: LLMs
DeepSeek R1
OpenAI o1 Mini
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CriticGPT
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Finding GPT-4’s mistakes with GPT-4 CriticGPT: AI self-evaluation breakthrough AI is transforming how…
Grok-2
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Llama 3.1
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Llama 3.1 is an open-source AI model from Meta AI that boasts capabilities…
Grok-1.5
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Meet Grok-1.5, an AI with exceptional understanding and reasoning skills. In the coming…
GPT-4o mini
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GPT-4o mini is OpenAI’s latest advancement in cost-efficient artificial intelligence, designed to be…
Ernie 4.0 Turbo: A New Frontier in AI
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Stable Diffusion
Have you ever wondered how deep learning has made strides in both image…
GPT-4o
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GPT-4o, also known as Omni, is a major upgrade to OpenAI’s language model…
Gemini Pro
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Google’s Gemini Pro, part of the Gemini family of AI models including Ultra…
Gemini 1.0 AI
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GPT-5
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GPT 3.5
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GPT 3.5 refers to the set of models designed to improve on GPT-3…
Comate
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Baidu Comate, an AI-powered coding assistant, is built upon the Wenxin model (Ernie…
GPT-4 with Vision (GPT-4V)
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GPT-4 with Vision, also known as GPT-4V, is an extension of the GPT-4…
GPT-4
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Ernie 4
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Ernie 2.0
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ERNIE 2.0 is an AI language model proficient in understanding both English and…
Grok-1
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Grok-1 is a large language model (LLM) developed by xAI, a company led…
Dall-E 3
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Dall-E 2
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Whisper
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PaLM (Pathways Language Model)
Proprietary Models
Some companies don’t use popular language models provided by big players such as…
WebGPT
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Prometheus Model
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The new Bing AI search is powered by a variant of GPT-3 customized…
GPT-3

Developed by OpenAI, GPT-3 is a family of large language models that use…