Showing 121–144 of 540 articles, newest first.
“Fine-tuning or RAG?” is a false dilemma. The 2026 sequence: Prompt → RAG → Fine-tune → Distill. LoRA/QLoRA, small language models, distillation, and the KVKK-sensitive self-host decision.
As of August 2, 2026 the EU AI Act GPAI enforcement powers and Article 50 transparency rules are live. What changed for Turkish firms, who is in scope, and a 90-day action list.
The 2026 agent protocol stack: MCP for tools, A2A for agent coordination. The attack surface each brings, OWASP agentic risks, and enterprise security controls.
AI in e-commerce moved from recommendation to action. Conversational commerce, autonomous purchasing, ROI figures, and compliance with Turkey’s August 1, 2026 advertising rules and KVKK.
2026 RAG is no longer linear. Adaptive routing, the agentic retrieve-reason-retrieve loop, five production patterns, and the highest-ROI intervention: hybrid retrieval + reranker.
MIT NANDA: 95% of enterprise AI pilots produce no P&L impact. ROI measurement shifts from productivity to revenue. A value-first framework for CTOs/CDOs.
In 2026 'vector as a feature' wins: PostgreSQL + pgvector suffices for most scenarios. Three architectural thresholds, evaluation traps, and selection criteria.
In 2026 prompt engineering isn't dying but evolving into context architecture. Context orchestration, adaptive prompting, workflow engineering, and Turkish-specific care.
Token prices dropped 80% but bills grow. How to control cost with routing, caching, batching, and prompt discipline — plus a CFO-ready FinOps framework.
RAG for changing knowledge, fine-tuning for stable behavior; often both together. Why LoRA is the default, when RFT, small models, and the KVKK advantage.
On August 2, 2026 the Commission's GPAI enforcement powers took effect. Fines reach EUR 15M/3%; a practical compliance roadmap for companies touching the EU market from Turkey.
In 2026, work runs through orchestration of specialized agents. Six production patterns, MCP/A2A standards, and the cost-debugging-governance triad.
In July 2026 three major providers released new frontier models. An enterprise-use comparison, multi-model strategy, and a right-choice guide.
Agentic RAG moves retrieval inside the agent loop; with context engineering it cuts token usage 19-53%. Production patterns and a decision framework.
Customers now convey intent to agents to start shopping. Recommendation systems, operational impact, and a readiness guide for Turkish e-commerce.
Pilots not reaching production? A field guide to why and how to build an AI CoE, agentic workforce governance, and the KVKK/talent/budget dimension in Turkey.
Synthetic data solved fine-tuning's data bottleneck. A field guide to generation methods, the practical recipe, model collapse, and Turkish data scarcity.
Text RAG misses tables, charts, and layout. A field guide to multimodal RAG architectures (ColPali, vision embeddings), evaluation, and KVKK.
With long context we can now put hundreds of examples in the prompt. A field guide to many-shot, trade-offs vs fine-tuning, prompt caching, and Turkish practices.
In self-hosted LLMs, bill and latency come from the serving layer. Manifold throughput via PagedAttention, continuous batching, speculative decoding, and quantization.
AI adoption in law doubled. A field guide to contract review, controlling hallucination with RAG, human judgment, and KVKK.
There's no single best model. A field guide to the August 2026 landscape, the benchmark trap, and a framework for choosing the right model for your work.
A field guide to the EU AI Act Article 50 transparency rules in force on August 2, 2026: chatbot disclosure, deepfake marking, and the KVKK intersection.
An agent at 90% in testing drops to 70% in production. A field guide to the reliability gap, pass^k, LLM-judge biases, and a production evaluation framework.