Showing 385–408 of 540 articles, newest first.
Getting reliable JSON from an LLM in production takes more than a prompt. How to guarantee schema conformance with JSON mode, structured outputs, constrained decoding, and function calling.
Which vector database is right for RAG and agents? I compare pgvector, Qdrant, Milvus, and Weaviate on performance, scale, hybrid search, and data sovereignty.
If your RAG talks nonsense, the problem is usually retrieval, not generation. How to lift quality with BM25 + dense hybrid search, RRF, and cross-encoder reranking.
Prompt caching cuts input token cost up to 90% on Anthropic and 50% on OpenAI. I cover both approaches, when to pick which, and cache-hit design patterns.
OpenTelemetry GenAI conventions make LLM and agent systems observable in production. Track tokens, cost, latency, and quality while escaping vendor lock-in.
Over 80% of employees use unapproved AI tools, yet only 37% of firms have a policy. How to govern shadow AI without killing innovation.
On August 2, 2026 the Commission's GPAI enforcement powers go live, while the Digital Omnibus defers high-risk systems to 2027. What changes for Turkish companies?
Personalization now drives 45% of online conversions; conversational shopping agents and agentic commerce are rewriting retail. What it means for Turkish e-commerce.
The 2026 fine-tuning stack: base → SFT → DPO. I explain preference optimization, LoRA/QLoRA, and when to fine-tune instead of using RAG, from the field.
92% of CISOs lack visibility into AI agent identities. How to secure agents at enterprise scale by treating them as first-class identities with least privilege and guardrails.
AI in insurance: underwriting, claims, fraud detection. An auditable, KVKK-compliant architecture in the context of SEDDK, KVKK, and EU AI Act high-risk rules.
Prompt injection is the sneakiest LLM vulnerability and OWASP's #1. Direct/indirect attacks and 2026 defense-in-depth patterns, with a KVKK context.
'Seems to work' is the costliest sentence in AI. Moving to measurable quality with eval sets, LLM-as-judge, RAGAS, and retrieval metrics — including Turkish eval.
Build vs. buy in enterprise AI? A 2026 CTO/CDO framework: differentiation, TCO, KVKK, lock-in — and why 'compose' is the realistic default.
Small language models and fine-tuning: cost-effective customization with LoRA, QLoRA, and distillation. When an SLM beats a big API, and RAG vs FT.
GraphRAG or vector RAG? A 2026 decision guide for production retrieval: cost, multi-hop reasoning, hybrid search, and a KVKK-aware view.
The EU Commission stood up a 60-expert Scientific Panel and Advisory Forum for the AI Act. What GPAI oversight means for Turkish providers, and how it overlaps with KVKK.
Your embedding model decides the fate of Turkish RAG. Comparing Qwen3, Cohere embed-v4, OpenAI, and BGE-M3 — plus how to evaluate on your own Turkish data.
The AI gateway is the control plane for all your LLM traffic: model routing, semantic cache, observability, PII redaction, and a KVKK-compliant architecture.
Agents now talk to each other: MCP connects tools, A2A connects agents. A2A at 150+ orgs, MCP on 10,000+ servers. A practical adoption path for Turkish enterprises.
I walk through how I cut a production LLM bill in half, sometimes to a fifth: prompt caching, model routing, self-hosted quantization and the observability that makes it all visible. With a Turkey and KVKK lens, concrete cost math and a tactics table.
For enterprise RAG in 2026, pgvector or a dedicated solution like Pinecone, Qdrant, Weaviate, Milvus? A field-tested decision guide through the lens of scale, cost, hybrid search and data sovereignty.
At Cloud Next '26, Google turned Vertex AI into the Gemini Enterprise Agent Platform and put a single unified platform on the table in the enterprise agent race. From a practitioner's chair: what does this move mean, where does it stand against OpenAI and Anthropic, and how should Turkish organizations decide while keeping KVKK and data sovereignty in mind?
Why is RAG in banking different from a "chatbot"? Cited answers, audit trails, on-prem/sovereign deployment and BDDK/KVKK compliance. A field use-case inventory, architecture layers and an 8-week pilot recipe.