The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...

Athlete Intelligence just left its beta testing, but Strava's CTO and CPO told me that they're "not done" making it better.

We started primarily on language models and unstructured data. For a while, we were the only evaluation tool for unstructured AI, like deep learning models. Erstwhile before the LLM moment, people ...

We list the best language learning apps, to make it simple and easy to learn a language online. Are you finally ready to learn a new language? Not sure where to begin? Becoming proficient in ...

Training deep learning models is computationally expensive and time-consuming. MoE reduces this burden by distributing learning across specialized experts, thereby decreasing redundancy in computation ...

If you found this repository useful, please consider citing our papers: @misc{2025Sys2BenchLLM, title={Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights}, ...

UAE's Ministry of Education has designated Friday of each week during the month of Ramadan as a day for distance learning for students of public schools. This does not apply to students whose exam ...

Apple is expanding its AI footprint in India. The tech giant is seeking an experienced engineer with a strong background in artificial intelligence (AI) and machine learning (ML) to build the next ...

Abstract: Federated Learning (FL) offers a promising approach for collaborative ... Additionally, intent-based automation in FL is explored using a fine-tuned Language Model (LLM) trained on a ...