Apakah gemini 4 ada atau kita berhalusinasi
I asked 4 models across 4 different harnesses to recreate themselves as a WALL-E character 4 models, the exact same prompt, and such different results: - muse spark: built such a cute, polished robot - deepseek: way more
Output flash opencode deepseek v4.1 yang sedikit rusak yang digunakan melalui router Codex telah…
この速さがクセになる。200-300トークン/秒でる。
Andrej karpathy bisa saja mengenakan biaya $2,000 untuk kursus ini.
He put it on YouTube. The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo. 3 hours of the most comprehensive LLM education that
DeepSeek-V4 kelas 284B.
Two 24GB 3090s. 18.26 tokens/s decode. The routed experts live in system RAM. The GPUs keep attention. That is the author’s own `llama-sweep-bench` on a hybrid `--cpu-moe` box — not an H100 rack, not a Discord screenshot. 🆕 ik_llama.cpp
Sudah sampai ujung arsip
Semua deepseek