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Generative AI History Part2 | Language Modelling | Seq to Seq model | RNN | LSTM | GRU
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Generative AI from Basic to Advance - Generative AI History Part2 | Language Modelling | Seq to Seq model | RNN | LSTM | GRU

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

Full Transcript

Explore the history of Generative AI in our latest video, "From Language Modeling to Seq2Seq Models, RNNs, LSTMs, and GRUs | Part 2." Delve into the evolution of language modeling, Seq2Seq models, and the breakthroughs of RNNs, LSTMs, and GRUs. Gain insights into their roles in shaping machine understanding of human-like language. Uncover the AI revolution #GenerativeAI #Seq2Seq #RNN #LSTM #GRU #aihistory 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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