Category: History
Scheduling Strategies to Maximize LLM Utilization During Scaling
Smart scheduling can boost LLM utilization by up to 87% and cut costs dramatically. Learn how continuous batching, sequence scheduling, and memory optimization make scaling LLMs affordable and fast.
Measuring Hallucination Rate in Production LLM Systems: Key Metrics and Real-World Dashboards
Learn how top companies measure hallucination rates in production LLMs using semantic entropy, RAGAS, and LLM-as-a-judge. Real metrics, real dashboards, real risks.
Ethical Considerations of Vibe Coding: Who’s Responsible for AI-Generated Code?
Vibe coding speeds up development but shifts ethical responsibility to developers who didn't write the code. Learn why AI-generated code is risky, how companies are handling it, and what you must do to avoid legal and security disasters.
Health Checks for GPU-Backed LLM Services: Preventing Silent Failures
Silent failures in GPU-backed LLM services cause slow, inaccurate responses without crashing - and most monitoring tools miss them. Learn the critical metrics, tools, and practices to detect degradation before users do.
Latency Management for RAG Pipelines in Production LLM Systems
Learn how to cut RAG pipeline latency from 5 seconds to under 1.5 seconds using Agentic RAG, streaming, batching, and smarter vector search. Real-world fixes for production LLM systems.
Procurement Checklists for Vibe Coding Tools: Security and Legal Terms
Vibe coding tools like GitHub Copilot and Cursor speed up development but introduce serious security and legal risks. This guide gives you the exact checklist to safely adopt them in 2025.
How to Detect Implicit vs Explicit Bias in Large Language Models
Large language models can pass traditional bias tests while still harboring hidden, implicit biases that affect real-world decisions. Learn how to detect these silent biases before deploying AI in hiring, healthcare, or lending.
Why Transformers Replaced RNNs in Large Language Models
Transformers replaced RNNs because they process language faster and understand long-range connections better. With parallel computation and self-attention, models like GPT-4 and Llama 3 now handle entire documents in seconds.
Measuring Developer Productivity with AI Coding Assistants: Throughput and Quality
AI coding assistants promise faster development, but real-world results show trade-offs between speed and code quality. Learn how top companies measure true productivity using throughput and quality metrics-not vanity stats.
Bernard Xavier Philippe de Marigny: Louisiana's Forgotten Nobleman and Cultural Icon
Bernard Xavier Philippe de Marigny was a French Creole nobleman who shaped New Orleans by developing the Marigny neighborhood, allowing diverse communities to thrive together - laying the groundwork for jazz and Creole culture.
Infrastructure Requirements for Serving Large Language Models in Production
Serving large language models in production requires specialized hardware, optimized software, and smart architecture. Learn the real costs, GPU needs, and optimization strategies that separate successful deployments from costly failures.
Hybrid Search for RAG: Boost LLM Accuracy with Semantic and Keyword Retrieval
Hybrid search combines semantic and keyword retrieval to fix RAG's biggest flaw: missing exact terms. Learn how it boosts accuracy for code, medical terms, and legal docs-and when to use it.
