@harshavardhan
Architect In Role. Developer by Heart
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Nothing here yet.
Feb 15 · 8 min read · You've used ChatGPT. You've typed questions, gotten answers, maybe even had it write code for you. But here's something most people never think about: every conversation you have with an LLM isn't just you talking to a model. There's a hidden layer s...
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Feb 10 · 11 min read · You're building a RAG system and need to pick an embedding model. The options are overwhelming: OpenAI, Voyage, Google, Cohere, or self-hosted open-source. Prices range from free to $0.13 per million tokens. Dimensions range from 256 to 3072. How do ...
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Feb 8 · 14 min read · If you've ever wondered how AI "understands" that "king" is closer to "queen" than to "pizza," you're about to find out. And no, it's not magic, it's math. Specifically, it's embeddings and vector similarity. This is the foundation that powers semant...
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Feb 3 · 9 min read · Every time you send a message to GPT-4 or Claude, an algorithm from 1994 decides how much you'll pay. That algorithm is Byte Pair Encoding — BPE for short. It's not glamorous, but it's running under the hood of nearly every modern LLM. Once you under...
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Feb 1 · 9 min read · "Hello" is 1 token. "你好" is 2 tokens. Same meaning. Double the cost. That little fact tripped me up when I first started working with LLMs. I assumed tokens were just... words. They're not. And that misunderstanding quietly inflates API bills everywh...
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