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Chris Yan

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Understanding SARIMAX: An Seasonal Time Series Forecasting Technique

SARIMAX, or Seasonal AutoRegressive Integrated Moving Average with eXogenous factors, is a powerful extension of the ARIMA model that…

Aug 5, 2024

Understanding SARIMAX: An Seasonal Time Series Forecasting Technique

Aug 5, 2024

Identifying Choke Points in Global Supply Chains

Global supply chains are the backbone of international trade, ensuring the efficient flow of goods and services. However, these systems are…

4d ago

Identifying Choke Points in Global Supply Chains

4d ago

Dynamic Route Optimization for Last-Mile Delivery

Introduction

Jan 15

Dynamic Route Optimization for Last-Mile Delivery

Jan 15

Understanding LLM Agents: A 101 Guide

What is an LLM Agent?

Jan 3

Understanding LLM Agents: A 101 Guide

Jan 3

Exploring Microsoft Copilot Studio: Applications, Benefits, and Considerations

Dec 11, 2024

Exploring Microsoft Copilot Studio: Applications, Benefits, and Considerations

Dec 11, 2024

Revolutionizing Data Processing with Gemini: Table Inputs and Structured Outputs

As businesses increasingly rely on data for strategic decision-making, handling table-based inputs and outputs efficiently has become…

Dec 9, 2024

Revolutionizing Data Processing with Gemini: Table Inputs and Structured Outputs

Dec 9, 2024

Understanding Transformer Architectures: Decoder-Only, Encoder-Only, and Encoder-Decoder Models

The Standard Transformer was introduced in the seminal paper “Attention is All You Need” by Vaswani et al. in 2017. The Transformer…

Nov 20, 2024

Understanding Transformer Architectures: Decoder-Only, Encoder-Only, and Encoder-Decoder Models

Nov 20, 2024

Understanding Cross-Encoders: Architecture, Implementation, and Applications

Cross-encoders are a powerful class of models widely used in tasks that require precise pairwise scoring, such as information retrieval…

Nov 6, 2024

Understanding Cross-Encoders: Architecture, Implementation, and Applications

Nov 6, 2024

Implementing Model Compression Techniques for Deploying DL models or LLMs in Resource-Constrained…

As the use of large language models (LLMs) or deep learning models (DL) becomes increasingly prevalent, the challenge of deploying these…

Nov 5, 2024

Implementing Model Compression Techniques for Deploying DL models or LLMs in Resource-Constrained…

Nov 5, 2024

Reranking in Information Retrieval: Enhancing Search Results with RAG

Reranking is a transformative technique in information retrieval (IR) that enables more accurate sorting of retrieved documents by…

Oct 30, 2024

Reranking in Information Retrieval: Enhancing Search Results with RAG

Oct 30, 2024

Chris Yan

Chris Yan

Seasoned data scientist specializing in building data-driven solutions, optimizing business processes, delivering impactful insights through advanced analytics

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