Showing 361–384 of 510 articles, newest first.
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.
Why do agents that work flawlessly in a demo collapse in production? From the field, I walk through 2026's real failure patterns and resilience fixes: infinite loops, error cascades, cost explosions, oversight, and evaluation.
The Digital Omnibus defers high-risk AI obligations from 2 August 2026 to 2 December 2027. Full timeline, what Annex III means, Article 99 penalties, the KVKK overlap, and a concrete 16-month readiness plan from the field.
For a freelancer, the right AI tool isn't the most expensive one — it's the one that fits the job. This guide: a task-tool matrix, toolkits by freelancer type (writer, designer, video, developer, translator, VA), client-finding and proposal tools, a day-in-the-life workflow, 3-tier cost optimization (from 0 to pro), AI ethics and client transparency, earning FX from Türkiye, and the most common mistakes — with current 2026 tools (Nano Banana 2, Kling, Cursor, n8n).
AI is not destroying the value of professions; it is redistributing it. This evidence-based guide: which jobs AI augments rather than replaces, AI-core roles (AI engineer, agent builder), AI×domain hybrids (health, law, finance), resilient human-centric professions, the path from pressured roles to rising ones, the truth about 'prompt engineering is dead', Türkiye-specific opportunities, and a self-positioning framework. With Anthropic, WEF/LinkedIn, and Yale data.
Doing an entire agency's work as one person, powered by an AI tool stack, is a real model in 2026. This guide: what services to sell, the 9-layer tool stack (ChatGPT/Claude/Gemini, Nano Banana 2, Kling, Veo, n8n, v0), three end-to-end workflows, TL+USD pricing, your first 5 clients, a monthly cost-profit table, Türkiye-specific tax/FX structure (sole proprietorship, Wise, Payoneer), and a realistic 6-month revenue case study.
A concrete roadmap to land a global remote AI Engineer position from zero in 12 months: 5 production-level projects, GitHub portfolio + blog strategy, $200K+ offer. Karpathy, Raschka, 3Blue1Brown, Andrew Ng curriculum; HuggingFace + LangChain + Anthropic Academy free programs; Turkish alternatives; case study (14-month timeline); and interview strategy for top offers.