Showing 121–144 of 510 articles, newest first.
Moving from hand-writing prompts to programmable pipelines with DSPy: signature, module, optimizer concepts, code examples, metric definition, a Turkish task, and KVKK-compliant production.
DPO aligns LLMs to human preferences without a separate reward model or RL. Loss intuition, beta, preference data, RLHF comparison, KVKK, and a Turkish example.
In 2026 agent memory is a layer separate from the context window. Short/long-term memory, Letta, Mem0, Cognee and KVKK-compliant production design.
We compare Qdrant, Pinecone, Weaviate, Milvus and pgvector on scale, latency, hybrid search and KVKK. A 2026 decision flow, table, and selection checklist.
There is no single best model in 2026: how to match GPT-5.6, Claude Opus 4.8, Fable 5, Gemini 3.1 and open models to the job, plus routing and KVKK guidance.
Claims automation, underwriting, fraud detection and policy RAG. AI use cases in insurance and KVKK obligations for high-risk automated decisions.
RAG or long context in the million-token era? A practical guide to hybrid architecture, BM25 + vector, RRF, reranking, contextual retrieval, and the KVKK angle.
In production, prompts are living software assets. Registry, semantic versioning, evaluation, observability, rollback, and KVKK/EU AI Act compliance.
Choose SFT, DPO/ORPO/KTO or RFT/GRPO by the data you have. A 2026 fine-tuning guide: method table, RAG comparison, KVKK, and a project checklist.
The three layers of cutting the LLM bill: model, system and application. Prompt caching, model routing, batching and Turkey-specific FX and KVKK risks.
Shadow AI is a daily reality for most employees in 2026. Banning backfires: a discovery playbook, risk table, 30/60/90 plan, and KVKK and EU AI Act guidance.
On August 2, 2026 GPAI enforcement powers go live. Scope, provider-vs-deployer, Article 50 transparency, and a concrete compliance checklist for Turkish companies.
Short- and long-term memory architecture for AI agents: vector DBs, summary buffers, decay policies, the ACE loop, failure modes, and KVKK-ready compliance patterns.
Not 'which one' but 'which fits me.' Real benchmark data, a decision framework, the recall-latency tradeoff, and KVKK/data residency. Synthetic benchmarks lie.
Measure your RAG system's real quality with four core metrics: faithfulness, answer relevance, context precision, and recall. Ragas, LLM-as-a-judge, and Turkish challenges.
As Gartner puts it, context engineering is in, prompt out. How the role evolved, patterns that still work (CoT, few-shot), and managing context at enterprise scale.
Observability is now a production prerequisite. Tracing vs evaluation, hallucination detection, LangSmith/Langfuse/MLflow, and self-hosting options for KVKK.
The July 2026 LLM API price table, a TCO framework, and cost-cutting levers. Why cheapest isn't always right, plus the KVKK/data-residency dimension.
MIT NANDA: 95% of pilots produce no P&L return, 73% have no success definition. A recipe for CTOs/CDOs to escape the traps and build a culture of measurement.
The secret to agentic AI success is discipline, not the model. Four bottlenecks in pilot-to-production, maturing frameworks, and KVKK/EU AI Act governance.
On August 2, 2026 GPAI enforcement powers go live: 3% fines, transparency rules, and the Digital Omnibus deferral. A practical countdown guide for Turkish companies.
Agentic commerce is the third wave: agents research and buy on the user's behalf. Google 'Buy for me', 4x conversion, the trust problem, and KVKK personalization limits.
RAG or fine-tuning? Wrong question. The right sequence: Prompt → RAG → Fine-tune → Distill. A 2026 decision framework covering LoRA/QLoRA, GRPO, small language models, and KVKK.
LLM observability is now a production requirement. Tracing, cost, and quality monitoring with OpenTelemetry GenAI; 90% savings with semantic caching; a KVKK-compliant content-logging guide.