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talisay,tagaytay funrun with ethan

last april 27, ethan and i had an unplanned road trip. after going to tagaytay, we decided to push it all the way to talisay, batangas. here are some of the pics...

here's a shot from the peak of people's park in tagaytay

shot from talisay public market

a stopover between talisay and tagaytay named laeuna de taal

all 24 images can be viewed at photobucket
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White Paper: The Agile Transportation System (ATS) – AI-Driven, Routeless, and On-Demand Mobility

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Retrieval-Augmented Generation (RAG) Using First-Principles Thinking

Instead of just learning how Retrieval-Augmented Generation (RAG) works, let's break it down using First-Principles Thinking (FPT) —understanding the fundamental problem it solves and how we can optimize it. Step 1: What Problem Does RAG Solve? Traditional AI Limitations (Before RAG) Large Language Models (LLMs) like GPT struggle with: ❌ Knowledge Cutoff → They can’t access new information after training. ❌ Fact Inaccuracy (Hallucination) → They generate plausible but false responses. ❌ Context Limits → They can only process a limited amount of information at a time. The RAG Solution Retrieval-Augmented Generation (RAG) improves LLMs by: ✅ Retrieving relevant information from external sources (e.g., databases, search engines). ✅ Feeding this retrieved data into the LLM before generating an answer. ✅ Reducing hallucinations and improving response accuracy. Core Idea: Instead of making the model remember everything, let it look up relevant knowledge when needed....
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Agile Transportation System (ATS) Values and Principles

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