AI & Machine Learning Engineer
Sara Lin
Building production AI systems at the intersection of language models, inference optimization, and responsible deployment. Sara focuses on LLM fine-tuning, RAG pipelines, and the practical gap between research and real-world AI.
- Large Language Models
- RAG & Vector Search
- Model Fine-tuning
- AI Inference & Optimization
- Responsible AI
Articles by Sara Lin
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2026-04-22
Quantization Explained: Boost AI Performance and Cut Size
Discover how quantization can revolutionize AI by enhancing performance and reducing model size without sacrificing accuracy.
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2026-04-20
Dataiku: Simplifying AI for Collaborative Teams
Discover how Dataiku transforms AI and data science collaboration, streamlining processes and empowering teams to innovate faster.
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2026-04-15
Gemini AI: Real-Time App Design Revolution Explained
Discover how Gemini AI is transforming app design by enabling real-time updates during development, revolutionizing the workflow.
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2026-04-14
Claude Code Routines: Automate AI Workflows Fast
Unlock the power of automation with Claude Code Routines to enhance AI workflow efficiency and accelerate development timelines.
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2026-04-13
GitHub Copilot CLI Remote Control: Access AI Coding Anywhere
Explore how GitHub Copilot CLI's remote capabilities transform AI-driven development, offering seamless coding experiences on any device.
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2026-04-09
How Gemini AI Transforms Queries into 3D Visuals
Discover how Gemini AI redefines query handling by leveraging 3D models to provide interactive and immersive answers.
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2026-04-08
Anthropic's Bold Move: Claude Mythos AI Model Stays Behind Closed Doors
Anthropic's decision to withhold its Claude Mythos AI model raises critical questions about innovation, safety, and the future of AI development.
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2026-04-05
Cracking Claude Code: A Journey into AI's Heart
Discover the essence of Claude Code, an AI marvel, through a simple yet profound exploration that demystifies its core principles for everyone.
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2026-04-05
Copilot: A Tool for Fun, Not Foundation
While AI tools like Copilot can spark creativity and provide entertainment, relying on them for critical tasks can lead to dangerous oversights and misconceptions.