Linear Layers and Activation Functions in Transformer Models
Attention operations are the signature of transformer models, but they are not the only building blocks. Linear layers and activation ...
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Your First Local LLM API Project in Python Step-By-Step
Your First Local LLM API Project in Python Step-By-StepImage by Editor | Midjourney Interested in leveraging a large language model ...
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Mixture of Experts Architecture in Transformer Models
import torch import torch.nn as nn import torch.nn.functional as F class Expert(nn.Module): def __init__(self, dim, intermediate_dim): super().__init__() self.gate_proj = ...
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5 Advanced RAG Architectures Beyond Traditional Methods
5 Advanced RAG Architectures Beyond Traditional MethodsImage by Editor | Gemini Retrieval-augmented generation (RAG) has shaken up the world of ...
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AlphaGenome: AI for better understanding the genome
Science Published 25 June 2025 Authors Ziga Avsec and Natasha Latysheva Introducing a new, unifying DNA sequence model that advances ...
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Interpolation in Positional Encodings and Using YaRN for Larger Context Window
Transformer models are trained with a fixed sequence length, but during inference, they may need to process sequences of different ...
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7 Concepts Behind Large Language Models Explained in 7 Minutes
7 Concepts Behind Large Language Models Explained in 7 MinutesImage by Author | Ideogram If you’ve been using large language ...
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Gemini 2.5 model family expands
We designed Gemini 2.5 to be a family of hybrid reasoning models that provide amazing performance, while also being at ...
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Gemini 2.5: Updates to our family of thinking models
Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini 2.5 Pro is ...
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DeepCoder-14B: The Open-Source AI Model Enhancing Developer Productivity and Innovation
Artificial Intelligence (AI) is changing how software is developed. AI-powered code generators have become vital tools that help developers write, ...
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