India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
Learn how the GELU activation function works, its mathematical foundation, how it differs from ReLU, and why it is preferred in Transformer models.
A deep dive into Mamba4 and Selective State Space Models (SSMs). Learn how this architecture achieves linear-time complexity.
A complete, step-by-step guide explaining how Transformer architecture powers modern LLMs like GPT and Gemini.
Transformers vs Mixture of Experts: Understand self-attention, conditional computation, expert routing, and how MoE vs Transformer models.
BART redefines NLP by blending bidirectional and autoregressive capabilities in one model. Discover its architecture, training, uses, & more.
Discover xLSTM: The Evolution of Long Short-Term Memory Networks. Challenging norms, boosting performance in sequential tasks.
Learn all about i-Transformer and how it adapts the traditional transformer architecture for multivariate time series forecasting.
Explore Decoder-Only Transformer: attention, normalization, classification. Master text generation & translation.
Explore the intricate architecture of GPTs and find out how they handle generative AI and NLP tasks with such ease.
Learn all about the advanced transformers used in generative AI models like DALL-E, MUSE-NET, GPT-3, BERT, and more.
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