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From RNNs to GPT-4_ Deep Learning Evolution in Generative AI

Dive into the fascinating journey of Deep Learning in Generative AI, from early RNNs to todayu2019s GPT-4. Learn how this evolution shapes GenAI tools, Agentic AI frameworks, and discover top Generative AI training options.

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From RNNs to GPT-4_ Deep Learning Evolution in Generative AI

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  1. From RNNs to GPT-4: Deep Learning Evolution in Generative AI Understanding the Past, Present & Future of GenAI Architectures

  2. From RNNs to Transformers ● RNNs: Early sequence models with memory issues ● LSTM and GRU: Improved but limited scalability ● Transformers: Parallel processing and attention mechanisms

  3. The GPT Breakthrough ● GPT-2 to GPT-4: From coherent text generation to reasoning ● Multimodal capabilities and zero-shot learning ● Foundation for advanced Generative AI applications

  4. Rise of Agentic AI ● Agentic AI: Models that plan, act, and make decisions ● Key Frameworks: LangChain, AutoGPT, ReAct ● Moving beyond prompt-response models

  5. The Role of Training ● Need for Generative AI training in India ● Focus on deep learning foundations and model tuning ● Upskilling for real-world and enterprise use

  6. Career & Learning Opportunities ● Explore the best generative AI course online ● Join AI training in Bangalore for hands-on exposure ● Learn Agentic AI frameworks to stay ahead

  7. Summary & Call to Action ● Evolution: RNNs → Transformers → GPT-4 → Agentic AI ● Embrace deep learning evolution ● Start your journey with top GenAI training options

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