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How To Build A Project Requirements Document With ChatGPT - Building A Virtual Priest Chatbot

When was the last time you went to church? And how often do you go? If you’re anything like the vast majority of people, the answer is probably “not very often, if at all”
Thumbnail Image of Tutorial How To Build A Project Requirements Document With ChatGPT - Building A Virtual Priest Chatbot
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: GPU Cost Optimization Strategies

Explore effective strategies to optimize GPU costs for fine-tuning large language models without compromising performance.
Image of Author zaoyang
zaoyang
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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Dynamic Prompts with LangChain Templates

Explore how dynamic prompts using LangChain templates enhance AI interactions, improving efficiency and user satisfaction across applications.
Image of Author zaoyang
zaoyang
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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Knowledge Distillation for LLMs: Techniques Explained

Learn how knowledge distillation transforms large AI models into smaller, efficient versions without sacrificing performance, enabling broader deployment.
Image of Author zaoyang
zaoyang
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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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.
Image of Author zaoyang
zaoyang
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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