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  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • JavaScript
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Data Pipelines for LLMs: Key Steps

Explore essential steps in building efficient data pipelines for large language models, from data collection to automation and optimization.
Image of Author Zao Yang
Zao Yang
Owner of \newline and previously co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap). Self-taught in gaming, crypto, deep learning, now generative AI. Newline is used by 250,000+ professionals from Salesforce, Adobe, Disney, Amazon, and more. Newline has built editorial tools using LLMs, article generation using reinforcement learning and LLMs, instructor outreach tools. Newline is currently building generative AI products that will be announced soon.
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Audit Logs for LLM Pipelines: Key Practices

Learn key practices for implementing audit logs in LLM pipelines to enhance security, ensure compliance, and improve operational efficiency.
Image of Author Zao Yang
Zao Yang
Owner of \newline and previously co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap). Self-taught in gaming, crypto, deep learning, now generative AI. Newline is used by 250,000+ professionals from Salesforce, Adobe, Disney, Amazon, and more. Newline has built editorial tools using LLMs, article generation using reinforcement learning and LLMs, instructor outreach tools. Newline is currently building generative AI products that will be announced soon.
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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.
Image of Author Zao Yang
Zao Yang
Owner of \newline and previously co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap). Self-taught in gaming, crypto, deep learning, now generative AI. Newline is used by 250,000+ professionals from Salesforce, Adobe, Disney, Amazon, and more. Newline has built editorial tools using LLMs, article generation using reinforcement learning and LLMs, instructor outreach tools. Newline is currently building generative AI products that will be announced soon.
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How To Build An AI App That Counts Calories From Pictures With Bolt and ChatGPT

As you may know, lately we’ve created a lot of tutorials on how to build with AI or applications that use AI or both. If you didn’t know, well, we’ve already created apps with Bolt, Replit Agent, Supabase, MCP Servers, Chatbots, and more. You can find them here (and filter for the keyword or tool…
Thumbnail Image of Tutorial How To Build An AI App That Counts Calories From Pictures With Bolt and ChatGPT
Image of Author GC Tsalamagkakis
GC Tsalamagkakis
Published computer scientist. Ex-CERN. Ex-Olympic Games. Approached by Microsoft. Turned them down to keep building my own SaaS products
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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.
Image of Author Zao Yang
Zao Yang
Owner of \newline and previously co-creator of Farmville (200M users, $3B revenue) and Kaspa ($3B market cap). Self-taught in gaming, crypto, deep learning, now generative AI. Newline is used by 250,000+ professionals from Salesforce, Adobe, Disney, Amazon, and more. Newline has built editorial tools using LLMs, article generation using reinforcement learning and LLMs, instructor outreach tools. Newline is currently building generative AI products that will be announced soon.
•Last Updated:
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