Diffusion Models & Generative Modeling Theory
Diffusion Models & Generative Modeling Theory Underlying physics and stochastic differential equations powering image, video, and audio generation Diffusion models have emerged…
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AI KNOWLEDGE CENTRE
Deep knowledge insights on technical and academic aspects of AI and related topics
68 articles
Category: AI Knowledge Centre
Formal Methods and Verification in AI
Formal Methods and Verification in AI Using mathematical proofs to guarantee a model will not violate specific safety constraints Designing powerful AI…
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Neural Architecture Search (NAS) & Hyperparameter Optimization
Neural Architecture Search (NAS) & Hyperparameter Optimization Automating the design of neural networks using reinforcement learning and Bayesian optimization. Designing high-performance neural…
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Long-Context Engineering & Retrieval-Augmented Generation (RAG)
Long-Context Engineering & Retrieval-Augmented Generation (RAG) Technical implementation of vector databases, semantic chunking, and architectural modifications for infinite context windows Modern LLMs…
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Distributed Training & Large-Scale Systems
Distributed Training & Large-Scale Systems The engineering of 3D parallelism (Data, Pipeline, and Tensor), InfiniBand networking, and GPU memory optimization (ZeRODeepSpeed) Modern…
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State Space Models (SSMs) & Alternatives to Transformers: Deep diving into the math behind Mamba and S4 architectures
Modern deep learning models for language, vision, and time-series have been dominated by Transformers. Attention mechanisms enabled models to capture global dependencies…
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Geometric Deep Learning & Graph Neural Networks (GNNs) – Extending deep learning to non-Euclidean data
Modern deep learning models were built for grids: images, audio spectrograms, and text sequences. These Euclidean structures made convolution and attention powerful…
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Human-in-the-Loop Learning and Feedback Systems
Modern AI systems do not learn in isolation. Behind every effective intelligent system lies an ongoing interaction between machines and humans –…
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Knowledge Representation and Symbolic Reasoning basics
Knowledge representation and symbolic reasoning sit at the roots of artificial intelligence. Long before large datasets and deep neural networks dominated the…
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