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The Rise of Generative AI: Pioneering the next era of creativity

The Rise of Generative AI: Pioneering the next era of creativity
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100x less compute with GPT-level LLM performance: How a little known open source project could help solve the GPU power conundrum — RWKV looks promising but challenges remain

New model requires significantly fewer resources for running and training LLMs

Linux foundationRecurrent neural networks rnnsRecurrent neural networksArtificial intelligenceReceptance weighted key value

How is Machine Learning Leveraged in Photonic Design?

Photonic design involves developing optical components and systems that use light for computing, communications, and sensing. With the growing complexity of these systems, the adoption of machine learning has proven effective in modeling intricate structures and extracting valuable insights from extensive datasets.

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Understanding and Coding Self-Attention, Multi-Head Attention, Cross-Attention, and Causal-Attention in LLMs

This article codes the self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama from scratch in PyTorch.

Pytorch multiheadattentionA survey on efficient training of transformersRecurrent neural networks rnnsSelf attention mechanismLarge language models from scratchLarge language modelAttention is all you needNatural language processingRecurrent neural networksAll youEfficient trainingUnnormalized attentionStable diffusionHigh resolution image synthesisLatent diffusionFlash attention

Beyond Buzzwords: Glasswing AI palette guides startups navigating AI s diverse terrain

LLMs have dominated the news, but it won't be a defensible technology. Glasswing's AI Palette is a new framework for startup founders about AI and ML technologies.

Rudina seseriConvolutional neural networks cnnsRecurrent neural networks rnnsGlasswing venturesConvolutional neural networksRecurrent neural networks

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