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The newline Guide to Building Your First GraphQL Server with Node and TypeScript
In this course, we'll show you how to create your first GraphQL server with Node.js and TypeScript
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Tutorials on Natural Language Processing

Learn about Natural Language Processing from fellow newline community members!

How to Choose Automation Frameworks for LLM Pipelines

Learn how to select the best automation frameworks for LLM pipelines, focusing on compatibility, integration, scalability, and monitoring features.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:Jun 12th 2025

Read Full Article

Fine-Tuning LLMs on Imbalanced Customer Support Data

Learn how fine-tuning large language models on imbalanced customer support data can enhance performance, accuracy, and customer satisfaction.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 31st 2025

Read Full Article

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Training LLMs with Multilingual Customer Support Data

Explore the complexities of training multilingual LLMs using diverse support data, addressing challenges and strategies for effective deployment.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 30th 2025

Read Full Article

How To Fine-Tune Hugging Face Models on Custom Data

Learn how to fine-tune language models on custom data to enhance performance for specific tasks using Hugging Face's tools and techniques.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 26th 2025

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Bias in LLMs: Origins and Mitigation Strategies

Explore the origins of bias in large language models and effective strategies to mitigate its harmful effects in AI applications.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 24th 2025

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Fine-Tuning LLMs for Rare Event Data Generation

Explore how fine-tuning Large Language Models can enhance data generation for rare events, improving predictive accuracy and model performance.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 23rd 2025

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RAG vs Fine-Tuning: Best for Customer Support

Explore the strengths of Retrieval-Augmented Generation and Fine-Tuning for customer support, and find the best fit for your needs.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 21st 2025

Read Full Article

Top Metrics for Evaluating LLMs in Customer Support

Learn the essential metrics for evaluating large language models in customer support to enhance accuracy, speed, and user satisfaction.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 21st 2025

Read Full Article

5 Steps for Debugging LLM Prompts

Learn the essential steps to debug prompts for Large Language Models, ensuring accuracy and reliability in AI outputs.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 19th 2025

Read Full Article

Zero-Shot vs Few-Shot Prompting: Key Differences

Explore the differences between zero-shot and few-shot prompting methods for optimizing language model performance and accuracy.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

Read Full Article

Sliding Window in RAG: Step-by-Step Guide

Learn how the sliding window technique can enhance context handling and improve accuracy in Retrieval-Augmented Generation systems.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

Read Full Article

Fault Tolerance in LLM Pipelines: Key Strategies

Explore essential strategies for achieving fault tolerance in LLM pipelines to ensure reliability and high performance under stress.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

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Custom LLM API Endpoints: Setup Guide

Learn how to set up custom LLM API endpoints with essential hardware, software, and security measures for optimal performance.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

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Dynamic Context in LLMs: How It Works

Explore how dynamic context in large language models enhances efficiency and accuracy by prioritizing relevant information for improved performance.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

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LLM-Based Error Detection: How It Works

Explore how LLM-based error detection enhances automation, accuracy, and compliance across industries like banking, healthcare, and e-commerce.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 16th 2025

Read Full Article

Cross-Lingual Fine-Tuning: Key Techniques

Explore the techniques and benefits of cross-lingual fine-tuning for transformer models, enhancing multilingual AI capabilities efficiently.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 15th 2025

Read Full Article

How to Optimize Prompts for Better LLM Results

Learn effective strategies to optimize AI prompts for accurate and relevant responses, ensuring better results from language models.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 15th 2025

Read Full Article

5 Steps for Feedback-Driven Retrieval Tuning

Implement feedback-driven retrieval tuning to enhance RAG systems through user insights and continuous improvement in accuracy.

zaoyang

Self taught in large language models and deep learning. Previously he co-created Farmville and Kaspa.

•Last Updated:May 15th 2025

Read Full Article

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The newline Guide to Building Your First GraphQL Server with Node and TypeScript

Teach

Amelia Wattenberger

Author of Fullstack D3

Community

Tutorials on Natural Language Processing

How to Choose Automation Frameworks for LLM Pipelines

Fine-Tuning LLMs on Imbalanced Customer Support Data

This has been a really good investment!

Advance your career with newline Pro.

Training LLMs with Multilingual Customer Support Data

How To Fine-Tune Hugging Face Models on Custom Data

Bias in LLMs: Origins and Mitigation Strategies

Fine-Tuning LLMs for Rare Event Data Generation

RAG vs Fine-Tuning: Best for Customer Support

Top Metrics for Evaluating LLMs in Customer Support

5 Steps for Debugging LLM Prompts

Zero-Shot vs Few-Shot Prompting: Key Differences

Sliding Window in RAG: Step-by-Step Guide

Fault Tolerance in LLM Pipelines: Key Strategies

Custom LLM API Endpoints: Setup Guide

Dynamic Context in LLMs: How It Works

LLM-Based Error Detection: How It Works

Cross-Lingual Fine-Tuning: Key Techniques

How to Optimize Prompts for Better LLM Results

5 Steps for Feedback-Driven Retrieval Tuning

Email Newsletter

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