Deep dives into large language models, transformers, and the cutting edge of artificial intelligence research.
The latest wave of foundation models are abandoning dense architectures. We break down why MoE is winning, the tradeoffs involved, and what it means for the next generation of AI systems. From routing mechanisms to expert specialization, here's everything you need to know.
A practical guide to implementing speculative decoding in your inference pipeline and the surprising bottlenecks we discovered.
Recent interpretability work reveals surprising circuits responsible for ICL. We analyze the implications for prompt engineering.
After deploying RAG to 50M+ queries, here's what we learned about chunking, retrieval, and the reranking strategies that matter.
With Llama 4 rumors swirling and Mistral's latest release, we assess where open models stand against GPT-5 and Claude 4.
Why current benchmarks are failing us and the emerging alternatives that better capture real-world LLM capabilities.
Despite a year of defenses, these prompt injection techniques continue to bypass safety measures. What's being done about it.