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How to Evaluate LLMs Before Production: A 2026 Guideβ10
Evaluate LLMs for production with a 2026 guide: define metrics, build robust datasets, and align AI with business goals for reliable deployment.
Building Referral-Aware Split Payment Flows in Django: A 2026 Guideβ10
Learn to build referral-aware split payment flows in Django with deposits, coupons, idempotency, and atomic transactions.
OpenAI Releases Model Misalignment Disclosure Framework With 3β10
OpenAI releases a misalignment disclosure framework with three review tracks and six incident reports from RL training, tightening transparency for frontier AI ...
How to Fine-Tune an LLM: An End-to-End Guide (2026 Edition)β10
Learn when and how to fine-tune LLMs with QLoRA. Real-world results show 98% accuracy vs 35%, plus RAG vs fine-tuning guidance.
How Much Memory Does Your Agent Actually Need?β10
Struggling to size AI agent memory? Learn the key factors, from task complexity to context limits, and get practical guidelines for 2026.
Position: Unlabeled Data Does Not Mean Unsupervised Visual Learningβ10
Position: Unlabeled data often still embeds human priors, making "unsupervised" visual learning a misnomer. We urge clearer disclosure of supervision sources.
How to Build Production-Grade Agents with Pydantic AIβ10
Build production-grade AI agents with Pydantic AI: solve brittle outputs, tool boilerplate, context, testing, retries, and model-switching.
Is Agentic AI Just Automation?β10
Determining whether agentic AI is truly intelligent or just advanced automation, with a real-world test to separate hype from substance.
The LLM Judge That Kept Agreeing With Itselfβ10
A critical look at why an LLM judge silently approved a faulty SQL query, exposing systemic flaws in AI self-validation and the fixes that restored trust.
How to Bring Your Software Delivery Workflow into GitHub withβ10
Discover how agent apps can transform your software delivery workflow on GitHub, automating tasks and accelerating releases in 2026.