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Showing 31–40 of 71.
ChatGPT 5.5: What Changed for Developers
Each minor GPT version brings a mix of broadly-better and use-case-specific improvements. This article focuses on what GPT 5.5 changes for builders. the capability shifts that justify migration effort, the patterns that newly become practical, and the places w
Claude Opus 4.7 1M Context Window: Patterns and Pitfalls
The 1M-token context window in Claude Opus 4.7 is a genuine capability shift, not a marketing increment. But "you can fit it" and "you should fit it" are different questions, and the production patterns for long context are non-obvious. This article walks thro
Claude Opus 4.7: What's New, What it Changes for Builders
Claude Opus 4.7 is the current frontier of the Claude model family. The headline upgrade from 4.6 is the 1M-token context window. five times the size. but the more practical wins are in long-context recall, agentic stability over long sessions, and a noticeabl
Cost-Optimising ChatGPT 5.4 Production Deployments
The fastest path from a working LLM feature to a financially sustainable LLM feature is a set of cost optimisations that don't compromise quality. For most production deployments of GPT 5.4, these patterns cut spend by 60-85% with no measurable user-facing imp
Gemini 3.1 Pro vs Other Frontier Models: A Practitioner's Comparison
The frontier-model market is now a genuine multi-provider one. Anthropic's Claude, OpenAI's GPT, Google's Gemini, plus serious open-weight models. The "best model" varies by use case, by week, and by which evaluation suite you trust. The question that actually
ChatGPT 5.4 for Builders: Capability Patterns and Production Notes
When a new GPT model lands, the first wave of "what's new" coverage focuses on benchmark deltas. The second wave. the one builders actually need. is about which production patterns the model unlocks, where it changes the cost-quality calculus, and what to migr
High-Volume Classification and Extraction with Gemini Flash Lite
The two highest-volume LLM use cases in production today are classification (assign a category to an input) and extraction (pull structured fields from unstructured input). For both, small-tier models like Gemini 3.1 Flash Lite often produce identical-quality
ChatGPT 5.4: When to Use Reasoning Models vs Standard Chat
OpenAI now ships two distinct families of models for builders to choose between: standard chat models like GPT 5.4, and reasoning-tier models that produce longer, more deliberate outputs by spending more compute per request. They're not interchangeable. and ch
Gemini 3.1 Flash Lite: When Fast and Cheap Wins
The frontier-model conversation gets the headlines. The small-tier models do the work. In production AI systems with real volume, the lite-class models. Gemini 3.1 Flash Lite, Claude Haiku, GPT mini variants. handle the bulk of requests, while the frontier tie
Gemini 3.1 Pro for Builders: Strengths, Use Cases, and Production Patterns
Google's Gemini line has always been positioned as a frontier alternative to OpenAI and Anthropic. strong capabilities, deep integration with Google Cloud, and a willingness to lean into long-context and multimodal differentiators. Gemini 3.1 Pro is the curren