AI:List the popular advanced AI and LLMS, with their neural networks so far in the history all around the globe that are similar or advanced to google deepmin, china Deepseek, Neuralink across the globe in US,Canada, UK,China Europe, Middle East, Oceania, Asia. Write the oython code each individual AI and gnerative AI and list their models if the code is available write down all codes for those AI and modesl in real tme.

 Creating a comprehensive list of all the popular advanced AI models, large language models (LLMs), and their neural network architectures used by prominent AI systems globally—such as Google DeepMind, China’s DeepSeek, and Neuralink—requires understanding that the field of AI, particularly machine learning and neural networks, is rapidly evolving. Additionally, many AI models are proprietary, and detailed code for certain systems isn't publicly available. However, I can provide an overview of the most notable AI research, models, and technologies that have emerged from various regions, along with code snippets and details about the models where public code is available.

Notable AI & LLMs by Region

1. United States (Google, OpenAI, Meta, etc.)

• Google DeepMind: Known for the AlphaGo series, AlphaZero, AlphaFold, and the Gopher language model.

  • Models: AlphaGo, AlphaZero, AlphaFold (for protein folding)
  • Neural Networks: Deep Q-Networks (DQN), Transformer-based models
  • Python Code Example: DeepMind's AlphaFold model has publicly available code on GitHub (AlphaFold GitHub).

• OpenAI: Famous for GPT-3, GPT-4, and Codex (code generation model), DALL·E (image generation), CLIP (image-text models), and Whisper (speech-to-text).

  • Models: GPT (Generative Pre-trained Transformer), GPT-3, DALL·E, CLIP
  • Neural Networks: Transformer architecture (GPT series), VQ-VAE (for DALL·E)
  • Python Code Example: OpenAI has open-sourced the gym library for reinforcement learning (OpenAI GitHub).

• Meta AI (Facebook AI Research): Known for the BlenderBot (conversational agent) and OPT (Open Pre-trained Transformer) series.

  • Models: BlenderBot, OPT, RoBERTa
  • Neural Networks: Transformer, BERT variants
  • Python Code Example: Meta has released code for OPT and BlenderBot (BlenderBot GitHub).

2. United Kingdom (DeepMind, etc.)

• DeepMind: A leader in AI research, DeepMind is behind breakthroughs in reinforcement learning, health, and natural language understanding.
  • Models: AlphaZero, AlphaFold, Gopher
  • Neural Networks: Deep Q-Network (DQN), Transformer
  • Python Code Example: The code for AlphaFold, as mentioned above, is available on GitHub.

3. China (Baidu, Tencent, etc.)

• Baidu (Ernie): A deep learning platform that is a competitor to GPT-3, designed for multiple AI tasks.

  • Models: Ernie, Ernie 4.0 (an advanced version of GPT-3)
  • Neural Networks: Transformer-based models
  • Python Code Example: Baidu has made Ernie models available for research via PaddlePaddle (PaddlePaddle GitHub).

• Tencent AI: Developed the Chinese GPT model for conversational AI and NLP.

  • Models: Hunyuan (GPT-like Chinese NLP model)
  • Neural Networks: Transformer-based models
  • Python Code Example: Tencent has open-sourced some tools via the Tencent AI Lab (Tencent AI Lab GitHub).

4. Europe (Germany, France, etc.)

• DeepMind (London): While already mentioned under the UK, DeepMind continues to be one of the top global AI companies.
• Franz Inc.: Known for LISP-based AI models, they integrate knowledge graphs with AI reasoning.

5. Middle East (UAE, etc.)

• UAE's AI Initiatives: The UAE is heavily investing in AI through initiatives like the Mohammed Bin Rashid Al Maktoum AI Program. Their AI research focuses more on AI integration in government services and healthcare rather than direct model development.

• Saudi Arabia: The King Abdulaziz City for Science and Technology (KACST) is heavily involved in AI research, with partnerships with international AI labs.

6. Oceania (Australia, New Zealand)

• Australian AI Research: Focus on deep reinforcement learning, medical AI, and ethical AI.
• New Zealand AI: Notably working in the AI for agriculture and environmental sciences, with some open-source initiatives available in those areas.

7. Asia (Japan, Korea, India)

• Japan (Fujitsu, Sony): Involved in AI, particularly in robotics and machine learning applications for consumer electronics.
• South Korea (Samsung, LG): Active in AI research with models targeting language understanding and healthcare AI.
• India (IITs, Infosys, etc.): AI research in natural language processing, healthcare, and smart city applications.
  • Models: BERT variants in Indian languages
  • Neural Networks: Transformer, Recurrent Neural Networks (RNN)

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List of Popular AI Models and Their Code

1. GPT-3/GPT-4 (OpenAI):

   • Neural Network: Transformer (Autoregressive model)
   • GitHub Code: OpenAI has not released GPT-3 code, but the GPT-2 model is open-source.

2. AlphaFold (DeepMind):

   • Neural Network: Deep Learning (used for protein folding predictions)
   • GitHub Code: AlphaFold GitHub

3. BERT (Google):

   • Neural Network: Transformer-based
   • GitHub Code: BERT GitHub

4. Ernie (Baidu):

   • Neural Network: Transformer-based
   • GitHub Code: PaddlePaddle for Ernie (PaddlePaddle GitHub)

5. BlenderBot (Meta/Facebook):

   • Neural Network: Transformer-based
   • GitHub Code: BlenderBot GitHub

6. RoBERTa (Facebook AI):

   • Neural Network: Transformer (Robustly optimized BERT)
   • GitHub Code: RoBERTa GitHub

7. OpenAI Codex:

   • Neural Network: Transformer (Codex is specialized for code generation)
   • GitHub Code: No direct public code release, but you can use Codex via the OpenAI API.

8. CLIP (OpenAI):

   • Neural Network: Vision-language Transformer
   • GitHub Code: CLIP GitHub

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Python Code Examples for Some Models

Example 1: BERT (Google)

To run BERT for text classification: