Yes.

Academia to women in academia.....

The public reaction to DeepSeek feels like when ChatGPT was released.

The only tutorial you need. 🫡

🧵Introducing LangProBe: the first benchmark testing where and how composing LLMs into language programs affects cost-quality tradeoffs! We find that, on avg across diverse tasks, smaller models within optimized programs beat calls to larger models at a fraction of the cost.

How does RL improve performance on math reasoning? Studying RL from pretrained models is hard, as behavior depends on choice of base model. 🚨 In our new work, we train models *from scratch* to study the effect of the data mix on the behavior of RL. arxiv.org/abs/2504.07912

We are presenting “Prefix and output length-aware scheduling for efficient online LLM inference” at the ICLR 2025 (ICLR 2026) Sparsity in LLMs workshop (Sparsity in LLMs Workshop at ICLR 2025). 🪫 Challenge: LLM inference in data centers benefits from data parallelism. How can we exploit patterns in