'Team Mom' Alison Lee completes largest comeback in Solheim Cup history for Team USA to cap off unbeaten week Texas coach Steve Sarkisian's awkward ESPN interview divides internet during team's win over Ohio State'RedZone' returns for 18th season and, despite 15-second commercials, could still be on in the White House Dan Dakich says women might be the reason for Nike's downfall: 'They p----d them off' College football's chaos era is here: Texas rallies, Oregon falls and Lane Kiffin eyes return to Ole Miss America's women's basketball epic reaches its climax with national unity on the line in FIBA World Cup final Oklahoma State stuns Oregon, deals early season blow to Ducks' national title hopes Trump slams Europe's left-wing policies as Canada seeks EU ties White House advisor calls on tech leaders to'stop pretending' over AI threat Canada explores'associate member' status with EU amid US trade tensions Trespasser stopped by security at Kamala Harris' Malibu property Dominik Mysterio will essentially pull double duty at Triplemania 34 . The AAA mega champion was in Omos' corner when the 7-foot-3 giant defeated Rey Mysterio on Night 1 in Las Vegas on Friday night at the MGM Grand Garden Arena. On Night 2, Mysterio will defend the title against El Grande Americano. Dominik Mysterio and JD McDonagh make their entrance during Monday Night Raw at Rocket Arena in Cleveland, Ohio, on Aug. 31, 2026. Mysterio has morphed into one of the top talents in pro wrestling whether he's seen on WWE or AAA programming.

Why you can trust ZDNET: ZDNET independently tests and researches products to bring you our best recommendations and advice. When you buy through our links, we may earn a commission. T-Mobile will give you the iPhone 18 Pro for free - here's how to preorder The iPhone 18 Pro and Pro Max offer an impressive battery and professional-quality camera system - and you can get one on T-Mobile. Taylor Clemons is a tech writer and reviewer based near Cleveland, OH. Kerry Wan/ZDNET The latest Apple devices are here, including the new iPhone Duo -- the brand's first foldable smartphone.

Why you can trust ZDNET: ZDNET independently tests and researches products to bring you our best recommendations and advice. When you buy through our links, we may earn a commission. The Hisense U7 is a solid Mini LED TV for streaming, gaming, and more - especially at this price. Taylor Clemons is a tech writer and reviewer based near Cleveland, OH. Hisense has become one of the biggest names in mid-range smart TVs, offering high-quality screens with all the smart features you've come to expect for a fraction of the price of premium competitors.

Large language models (LLMs) excel at complex reasoning tasks but remain computationally expensive, limiting their practical deployment. To address this, recent works have focused on distilling reasoning capabilities into smaller language models (sLMs) using chain-of-thought (CoT) traces from teacher LLMs. However, this approach struggles in scenarios requiring rare factual knowledge or precise computation, where sLMs often hallucinate due to limited capability. In this work, we propose Agent Distillation, a framework for transferring not only reasoning capability but full task-solving behavior from LLM-based agents into sLMs with retrieval and code tools. We improve agent distillation along two complementary axes: (1) we introduce a prompting method called first-thought prefix to enhance the quality of teacher-generated trajectories; and (2) we propose a self-consistent action generation for improving test-time robustness of small agents. We evaluate our method on eight reasoning tasks across factual and mathematical domains, covering both in-domain and out-of-domain generalization. Our results show that sLMs as small as 0.5B, 1.5B, 3B parameters can achieve performance competitive with nexttier larger 1.5B, 3B, 7B models fine-tuned using CoT distillation, demonstrating the potential of agent distillation for building practical, tool-using small agents.

Scorio.jl is a Julia package for evaluating and ranking systems from repeated responses to shared tasks. It provides a common tensor-based interface for direct score-based, pairwise, psychometric, voting, graph, and listwise methods, so the same benchmark can be analyzed under multiple ranking assumptions. We describe the package design, position it relative to existing Julia tools, and report pilot experiments on synthetic rank recovery, stability under limited trials, and runtime scaling.

We further design an expert-wise training strategy to alleviate the impact of unhelpful demonstrations when optimizing the retriever model.

Partial observability of the underlying states generally presents significant challenges for reinforcement learning (RL).