4 posts
Where do computer vision applications work in the field and where do they stall? Scenario types, deployment realities, data-labeling load, the false-alarm economy, and model selection in one guide.
Text RAG misses tables, charts, and layout. A field guide to multimodal RAG architectures (ColPali, vision embeddings), evaluation, and KVKK.
A detailed head-to-head comparison of the 2026 Google Gemini Advanced and OpenAI ChatGPT Plus. 10+ tables across model access (Gemini 3 vs GPT-5), multimodal features (Veo 3 vs Sora 2, Imagen 3 vs DALL-E 3), long context (2M vs 256K), Turkish fluency, voice, Workspace integration, NotebookLM, Gem vs Custom GPT, mobile, and KVKK compliance. Concrete recommendations across 6 Turkish professional scenarios.
A head-to-head comparison of the two 2026 flagship AI models — Anthropic Claude Opus 4.7 and OpenAI GPT-5. Architecture and training philosophy differences (Constitutional AI vs RLHF), benchmark results (MMLU, HumanEval, GSM8K, hallucination), Turkish performance, code generation, reasoning, long context (1M vs 256K), multimodal, agent/tool use/MCP, cost, latency, safety, and alignment. Use-case-based winner analysis.