Large Language Models
Explore large language model architecture, capabilities, evaluation, model economics, and practical applications in software and AI products.
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The AI Profitability Paradox: When More Users Don’t Mean More Profits
AI is becoming cheaper to run, yet increasingly expensive to operate. The next competitive advantage may not be intelligence alone, but the economics of delivering it.
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From a 243-Line GPT to Healthcare AI: What Happens When You Train Your Own Model
Recently, AI researcher Andrej Karpathy released a tiny but powerful project: MicroGPT. A full GPT-style model. Written in roughly 243 lines of pure Python. No deep learning frameworks.No GPU…
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The 243-Line GPT: Why a Tiny Script Is Changing How People Understand AI
In the world of artificial intelligence, models are usually associated with enormous complexity. Billions of parameters.Distributed GPU clusters.Massive training pipelines. But recently, a remarkably small piece of code has…
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From Prompt → PRD → PROMPT.md → Warp: AI-Native Build Loop
Alright, so here’s how I build projects these days. It’s half prompt engineering, half product design, and half automation sorcery. (Yes, that’s three halves. Welcome to modern dev.) 🧩…
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How Convin Built Its Contact Center LLM
Convin took a bold step: instead of relying on GPT-style APIs, it built its own 7-billion-parameter LLM, trained on 200B tokens with deep coverage of Indic and code-mixed languages.…
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Integrating RAG API with Vertex AI Vector Search for Enhanced LLM Grounding
Retrieval-Augmented Generation (RAG) combines the power of retrieval systems with generative models to answer queries based on both pre-trained knowledge and external datasets. By pairing the RAG API with…
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Unlocking Business Potential: How Large Language Models Are Transforming Quick Commerce, Travel, Banking, and Education
The world of artificial intelligence is rapidly evolving, and one of the most promising advances comes in the form of Large Language Models (LLMs). These models, powered by breakthroughs…
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OpenAI DevDay Highlights – GPT-5 Teasers, Agent API, and My Personal Aha Moments
esterday, OpenAI held its highly anticipated Developer Day, where significant announcements were made regarding the future of their platform. For those unable to attend, this article summarizes the highlights,…
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The Essential Guide to Prompt Engineering for AI Success
Generative AI models, such as GPT-4, are at the forefront of technological innovation, transforming industries from healthcare to creative writing. These models have shown an incredible capacity for tasks…
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Advanced Prompt Engineering: 5 ChatGPT Frameworks to Drive Better Outputs
AI tools like ChatGPT have revolutionized the way businesses operate, especially in content creation, marketing strategy, and product management. However, to truly harness the power of these models, the…
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Unlocking the Power of AI: A Product Manager’s Guide to Large Language Models and Key Terminology
The rise of AI, particularly Large Language Models (LLMs) like GPT-4, has redefined how businesses build and scale products. For Product Managers (PMs), understanding the building blocks of AI…
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ChatGPT System Design
The overall design of ChatGPT is as follows: The GPT-3 model used by ChatGPT is a deep learning model that uses a transformer architecture. It is trained on a…
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Healthcare AI · Agentic AI · AI Engineering · Product Strategy