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Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model
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Generative AI from Basic to Advance - Generative AI history Final Part (part3) | Transformer | LLM | Chatgpt Training | Diffusion Model

Master Generative AI: From Basics to Breakthroughs in AI Models and RAG Systems

5.0 (2)
26 learners

What you'll learn

Understand the evolution of generative AI from classical to modern techniques
Apply RAG and LangChain for building scalable AI applications
Implement end-to-end pipelines using LlamaIndex and LLM fine-tuning methods
Deploy AI models with CI/CD pipelines and container orchestration tools

This course includes

  • 124.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Keywords

Full Transcript

Discover how AI, using Transformer technology, learns through unsupervised pretraining and supervised fine-tuning. Explore the ChatGPT model, showcasing advancements in conversational AI. #GeneralAI #Transformer #UnsupervisedLearning #SupervisedFineTuning #ChatGPTTraining #AIHistory #ConversationalAI #MachineLearning #ArtificialIntelligence #techevolution Material Link: https://github.com/sunnysavita10/Generative-AI-Indepth-Basic-to-Advance Google Form : https://forms.gle/1Ut21yM2ednvpbS66 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds

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