Tag: #openai
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 25 posts
GPT-5.6 and the Limits of Price-Performance — How to Find Your Workload's Place on the Curve
On July 30, 2026, OpenAI cut GPT-5.6 Luna by 80% and Terra by 20%. That is three weeks after the July 9 general availability, and the top-end Sol price is unchanged. Luna went from 1 dollar input and 6 dollars output per
2026-07-31 · 12 min read #ai#llm#openai#inference-cost#prompt-cachingApple Has Sued OpenAI — Talent Mobility, Trade-Secret Law, and How Developers Should Read It
On July 10, 2026, Apple sued OpenAI, two former employees, and OpenAI's hardware arm io Products in the Northern District of California, over trade-secret misappropriation and breach of contract. This piece separates wha
2026-07-11 · 6 min read #openai#apple#trade-secrets#legal#industryManaged Agent Platforms Comparison Guide: OpenAI AgentKit vs Azure AI Foundry Agent Service vs Amazon Bedrock AgentCore
A practical comparison of three managed agent platforms as of 2026-04-12, including product fit, governance, tooling, deployment, and rollout checklists grounded in official docs.
2026-04-12 · 5 min read #ai-platform#managed-agents#agent-platform#comparison#openaiOpenAI RFT with Custom Graders: A Practical Guide for Product and Platform Teams
A practical guide to OpenAI reinforcement fine-tuning with custom graders, including when to use it, how to prepare data, how to evaluate checkpoints, and how to roll it out safely.
2026-04-12 · 5 min read #ai-platform#openai#rft#reinforcement-fine-tuning#custom-gradersOpenAI Responses API and Agents SDK Practical Guide: How Teams Should Redraw Their Architecture in 2026
A practical guide to OpenAI Responses API and Agents SDK based on the March 11, 2025 launch, focused on architecture choices, when to keep Chat Completions, when to move off Assistants API, and how built-in tools plus tr
2026-04-12 · 10 min read #openai#responses-api#agents-sdk#ai-agent#chat-completionsOpenAI, Azure, and AWS: An Enterprise Agent Observability and Evals Comparison Guide
A practical comparison of agent observability, evaluations, dashboards, and OpenTelemetry integration across OpenAI, Azure, and AWS, with rollout guidance for platform, product, and infra teams.
2026-04-12 · 4 min read #openai#azure#aws#observability#evaluationGPT-5 for Developers: A Practical Guide to Agentic Coding, Tools, and Cost Control
A practical guide to GPT-5 for developers, covering what changed from earlier workflows, how to choose model sizes and controls, and how to ship agentic coding systems with better latency and cost discipline.
2026-04-12 · 7 min read #openai#gpt-5#coding#agentic-coding#tool-useLiteLLM Complete Guide 2025: Unify 100+ LLMs with a Single API Proxy Server
Everything about LiteLLM! 100+ LLM unified API, OpenAI-compatible proxy server, cost tracking/budget management, load balancing/fallback, model routing, virtual keys, rate limiting, Guardrails, production deployment (Doc
2026-03-25 · 18 min read #litellm#llm#api#proxy#openaiOpenAI AI Success Engineer (Seoul) Complete Guide: From Technical Leadership to Customer Value
Complete analysis of OpenAI AI Success Engineer Seoul JD. OpenAI API/SDK deep dive, RAG/embeddings/fine-tuning skills, enterprise customer success strategies, C-level communication, and program management — with 30 inter
2026-03-23 · 42 min read #openai#success-engineer#customer-success#technical-account-management#ai-deploymentOpenAI AI Deployment Engineer (Seoul) Complete Guide: Roadmap to Deploying GPT for the Enterprise
A complete analysis of the OpenAI Seoul AI Deployment Engineer JD. Deploying GPT to Fortune 500 companies — deep dive into Python, K8s, RAG, LangGraph, agentic workflows, model fine-tuning + 3-stage interview strategy +
2026-03-23 · 25 min read #openai#ai-deployment-engineer#python#kubernetes#ragAI Safety Engineer & Alignment Researcher Career Guide: The Fastest-Growing AI Role in 2025
AI Safety Engineer salaries have surged 45% since 2023, making it the fastest-growing AI role. From Anthropic's Constitutional AI to OpenAI's Superalignment to DeepMind's Scalable Oversight — this guide covers core resea
2026-03-23 · 26 min read #ai-safety#ai-alignment#responsible-ai#ai-ethics#careerMastering FDE Interviews: 50 Power Phrases and STAR Framework for Technical Customer-Facing Roles
Complete guide to articulating technical experience persuasively in FDE/Success Engineer interviews at OpenAI, Cohere, Palantir. STAR framework, 50 essential expressions, scenario-based answer templates, and common pitfa
2026-03-23 · 40 min read #interview#english#fde#forward-deployed-engineer#careerMCP Complete Guide: Why Model Context Protocol Became the USB-C of AI with 97M Downloads
Built by Anthropic, adopted by OpenAI and Google, donated to Linux Foundation. MCP hit 97M monthly downloads — the complete guide to building MCP servers, understanding the architecture, and joining the AI agent revoluti
2026-03-22 · 21 min read #mcp#ai#anthropic#openai#google10 Voices Shaping the AI Era: From Jensen Huang to Yann LeCun, the Defining Quotes of 2025
Jensen Huang's "1 trillion dollar AI infrastructure," Sam Altman's "GPT-5 is smarter than me," Dario Amodei's "trillions in revenue before 2030," Yann LeCun's "LLMs are complete nonsense" — the defining quotes of 10 lead
2026-03-22 · 24 min read #ai#nvidia#openai#anthropic#googleEmbedding Model Selection Guide 2025: From OpenAI to Open-Source Options
A practical 2025 comparison of the major embedding models — OpenAI, Cohere, BGE-M3, E5-mistral, nomic-embed — with MTEB benchmark analysis, language-specific recommendations, and a decision framework for choosing the rig
2026-03-18 · 9 min read #embedding#embedding-model#rag#ai-development#openaiTool Calling in Practice: How AI Interacts with the World and Common Pitfalls
Tool calling is what transforms an LLM from a text transformer into an agent that can actually do things. Full implementation of OpenAI function calling and Claude tool use, parallel execution patterns, and the five mist
2026-03-18 · 9 min read #tool-calling#function-calling#ai-agent#llm#ai-developmentLLM Application Development Guide: From Prototype to Production
A comprehensive guide to building LLM-powered applications from prototype to production. Covers prompt engineering, RAG architecture, tool use, streaming, evaluation, cost optimization, and deployment patterns for real-w
2026-03-17 · 19 min read #llm#application-development#langchain#openai#prompt-engineeringLLM Application Development Practical Guide: Mastering ChatGPT API, Claude API, and Gemini API
A practical guide to LLM application development covering ChatGPT API, Claude API, and Gemini API.
2026-03-17 · 22 min read #llm#openai#claude#gemini#apiOpenAI IPO 2026: $25B Annualized Revenue and the Future of AI Industry
OpenAI has achieved $25 billion in annualized revenue, entering final IPO negotiations in 2026. Surpassing Anthropic's $19 billion valuation, OpenAI has proven the profitability model of large language models. Investor e
2026-03-16 · 7 min read #openai#ipo#ai-industry#business#investmentAI Agent Function Calling Practical Implementation: Tool Use Patterns, Error Handling, Security Design, and Production Deployment
Practical implementation of Function Calling and Tool Use patterns. Covers OpenAI, Anthropic, LangChain tool calling APIs, error handling, retry strategies, prompt injection defense, and MCP standard for production chatb
2026-03-12 · 21 min read #chatbot#function-calling#tool-use#ai-agent#langchain