#ai#llm#pythonStructured Output Changed How I Build LLM Apps — Pydantic, Tool Use, and the End of Regex ParsingI spent 6 months parsing LLM output with regex. Then Pydantic + structured outputs eliminated every 3 AM parsing alert. Here's the migration.15 aprel 202615 dəq.3
#ai#llm#performanceSemantic Caching Saved Us $14K/Month in LLM API CostsOur LLM bill hit $23K/month. Three layers — prompt caching, semantic caching, and model routing — cut it to $8.6K. Here's how.14 aprel 202616 dəq.3
#ai#llm#startupOpenAI Killed Sora: What a $15M/Day AI Failure Teaches Us About Inference EconomicsSora burned $15M/day in compute against $2.1M lifetime revenue. The most expensive lesson in AI product economics.3 aprel 202615 dəq.3
#ai#llm#mcpMCP Explained: The Protocol Connecting LLMs to EverythingMCP went from Anthropic side project to industry standard in 16 months. Here is how it works and why it matters.29 mart 202613 dəq.3
#ai#career#llmAI Engineering Is the Highest-Paying Role Nobody Can DefineAI Engineer topped LinkedIn's fastest-growing jobs list, yet most companies can't agree on what the role actually means.15 mart 202618 dəq.3
#ai#llm#fine-tuningFine-Tuning LLMs on Your Own Data — What Actually WorksA practical guide to fine-tuning LLMs with LoRA, QLoRA, Unsloth, and OpenAI. Real costs, real code, and when to fine-tune vs RAG.17 iyun 202516 dəq.3
#ai#career#llmPrompt Engineering Is a Dead-End Career (Here's What Replaces It)Prompt engineering jobs are vanishing. Context engineering, harness engineering, and agentic AI are what actually matter now.25 iyun 202517 dəq.2
#ai#llm#machine-learningSmall Language Models Are Eating LLMs for LunchI replaced GPT-4 with 7B models in production. Same quality, 95% cheaper. Here is why small language models are winning.3 iyul 202516 dəq.0