The Open Source Model That Beat GPT-4o at Half the Cost
Several open-weight models now match or exceed GPT-4o on specific benchmarks while running on hardware you can rent for $2/hour. Here is what that means in practice.
Llm
Claude vs GPT-4o vs Gemini: A Benchmark That Actually Matters
MMLU scores tell you almost nothing about which LLM to use in production. Here is an evaluation framework based on tasks that engineers actually care about.
The Real Cost of Running LLMs in Production
Everyone talks about the per-token pricing. Nobody talks about the infrastructure, latency, retry logic, and prompt engineering costs that triple your real bill.
How Meta Trains LLaMA 4 on 100,000 GPUs
Training a frontier model on 100,000 GPUs is not just a bigger cluster. It requires solving distributed systems problems that push the limits of what networking hardware can do.