LLM Model Landscape
GPT-4o, Claude, Llama, Gemini — model selection, benchmarks, cost-performance trade-offs, context windows and deployment options.
6 articlesin LLM Model Landscape
Gemini: Google's Multimodal AI
Google's natively multimodal model family — the Pro/Flash trade-off, Search grounding, built-in code execution, and Vertex AI for enterprise deployment.
LLM Cost-Performance Analysis
Frontier vs mini-tier trade-offs, model routing and cascading architectures, batch pricing, and a worked cost model for a real production feature.
Context Windows: Size, Quality, and Trade-offs
Context length limits, the 'lost in the middle' effect, prompt caching, and when a huge context window is the wrong fix for a retrieval problem.
LLM API Providers Compared
OpenAI, Anthropic, Google, Azure, AWS Bedrock, Together, Groq — compare direct, cloud-hosted, and inference-as-a-service API providers on pricing, latency, and enterprise fit.
Small Language Models in Production
When and how to use small language models like Phi, Gemma, and Mistral in production — quantization, deployment patterns, and latency-cost trade-offs.
Claude vs GPT for Engineering Workflows
A practical comparison of Claude and GPT models for real engineering tasks — code generation, debugging, architecture reviews, and documentation.