Is this ordering correct ? GLM < Kimi < MiniMax < Gemini < Codex < Claude

I had also heard the rumour that DeepSeek did the same to ChatGPT as well.

RAG Evaluation Metrics — explained clearly 🧠📊 Retrieval-Augmented Generation (RAG) isn’t just about better answers — it’s about measurable quality. A solid RAG eval splits into Retriever + Generator metrics 👇 🔍 Retriever Evaluation (≈90% of system quality) Your LLM can

If you’re learning Backend in 2026, master these 8 concepts: 1️⃣ REST API design ↓ 2️⃣ Authentication (JWT / OAuth) ↓ 3️⃣ Database indexing ↓ 4️⃣ Caching (Redis) ↓ 5️⃣ Rate limiting ↓ 6️⃣ Logging & monitoring ↓ 7️⃣ Docker basics ↓ 8️⃣ System design fundamentals Frameworks

I finished ofc job and saw another advancement in AI. Google released Nano Banana 2, and Feb continues to be the mother of AI month this year.

Expecting new AI model from Apple. Tim cook seems to be keep us waiting till Monday. 🤞

Fine-Tuning LLMs: Explained Simply (with LoRA, QLoRA & more) Not every model needs full retraining. Modern fine-tuning focuses on efficiency, cost, and speed 👇 🟢 LoRA (Low-Rank Adaptation) • Injects small trainable adapter layers • Base model stays frozen • Faster

✔️ Online courses teach you how to build an AI agent. ❌ They don’t teach you how to engineer an AI system.

What is the optimal solution for importing 100 million records from an Excel file into a database? [Asked at Intuit interview]