Papa Johns launches drone delivery testing with Wing in Indian Trail, North Carolina, starting with sandwiches while custom pizza packaging is developed for future flights.

Gloating Trump dances on'disloyal' senator's political grave while celebrating'big victory'... as president's iron grip on GOP shows no signs of weakening despite unpopular war and affordability crisis SNL season finale cold open sees ghost of Jeffrey Epstein played by Will Ferrell'haunt' Trump as dark jokes leave viewers shocked Kim Kardashian roasted over'ridiculous' outfit at Gucci show as she sits front row with Anna Wintour and Mariah Carey No one wants to hang out with her': Why Meghan and Harry have been ditched by A-list friends as insiders reveal Oprah's merciless snub, why the Clooneys now want nothing to do with them - and how SHE'S the problem Truth about Kate Middleton's past before Prince William... we Americans see this for what it is: KENNEDY Taylor Swift dazzles in glittering gown as she and Travis Kelce steal the spotlight at friend's wedding in NYC Venezuela extradites key Maduro ally to the US'with the help of the CIA' despite being pardoned by Joe Biden Hamptons cancer cluster: Rates are spiking in summer enclave of New York's wealthy elite... and doctors think they know the tragic reason why The deadliest school attack in American history that you've never heard of: How caretaker in small town killed 45 people including 38 children in co-ordinated explosions Trump gives sneak peek of new Reflecting Pool offering stunning views of Lincoln Memorial and Washington Monument as he hails'very exciting project' Disturbing trove of images woke Los Angeles mayor Karen Bass doesn't want you to see: Filthy truth is so much worse than people think... Pamela Anderson is'making room for love' amid Tom Cruise romance rumors as she unveils new Sonsie skincare campaign Promising young student, 20, suffered nightmarish injuries after his Tesla crashed into pole and was consumed by'thermal chain reaction', lawsuit alleges Expert reveals the best way to cut the bread - and why you should never leave a'hinge' If your sandwich keeps falling apart at lunchtime, you've probably been making it wrong. That's according to an expert, who claims the way you cut the bread has a significant impact on your sandwich's structure. Owen Han, a viral creator known as the'King of Sandwiches', has curated a huge following by obsessing over what makes the perfect sub. He says there's one mistake he comes across all the time - people leaving a'hinge' when they cut their bread. 'This is a big pet peeve,' he explained to the Daily Mail.

We introduce two new evaluation scenarios cap and retr so that they are more specific on the object level than on the category level. It is because defining objects by category synonyms and category names and definition is insufficient to describe them accurately, leading to ambiguous results. The benchmarking sets can provide more accurate and meaningful evaluations of multiple object retrieval methods by focusing on the object level. We include a comprehensive taxonomy of prompt types used to construct our settings. However, the retr setting on the MOT17 could not be constructed because test annotations for this dataset are unavailable. To construct this setting, bounding boxes will be filtered to the corresponding retrieval prompt when it changes. Section 2 describes how to construct this retrieval prompt .

We achieve an average task solve rate of 66% compared to a 29% solve rate by GPT -4's intrinsic planning with chain-of-thought prompting.

We use the following numerical experiment to further illustrate our finite-time bounds on the convergence of double Q-learning. In such an experiment, the optimal Q-function can be explicitly calculated and thus the learning errors can be tracked. We choose γ = 0 .8,α We prove Lemma 1 by induction. First, it is easy to justify that the initial case is satisfied, i.e., In this appendix, we will provide a detailed proof of Theorem 1.

Video understanding has seen significant progress in recent years, with models' performance on perception from short clips continuing to rise. Yet, multiple recent benchmarks, such as LVBench, Neptune, and ActivityNet-RTL, show performance wanes for tasks requiring complex reasoning on videos as queries grow more complex and videos grow longer. In this work, we ask: can existing perception capabilities be leveraged to successfully perform more complex video reasoning? In particular, we develop a large language model agent given access to video modules as subagents or tools. Rather than following a fixed procedure to solve queries as in previous work such as Visual Programming, ViperGPT, and MoReVQA, the agent uses the results of each call to a module to determine subsequent steps. Inspired by work in the textual reasoning domain, we introduce a critic to distinguish between instances of successful and unsuccessful sequences from the agent. We show that the combination of our agent and critic achieve strong performance on the previously-mentioned datasets.

The Twitch streamer could pivot from influencer to candidate. But he tells WIRED's podcast he'd rather use his platform to tell Dems "you can't podcast your way out of this problem." Hasan Piker is many things to many people. They don't all feel the same way about Piker or his politics, but most presumably agree on one thing: He is a relentless human being. Most days a week, you can find the 34-year-old Twitch streamer talking to his audience, often for six to nine hours at a stretch. And during President Trump's second term, there's plenty of that to go around. He has nearly 3 million followers on Twitch and has hosted conversations with Senator Bernie Sanders and US representative Alexandria Ocasio-Cortez. He claims his election night stream in 2024 reached a staggering 7.5 million viewers. On this episode of, I talked to Piker about his looks, his love of Italian sandwiches, and any future political aspirations he might (or might not) want to tease. It's great to be here. I heard you were just at the gym. Yeah, I was at the park. Some days I take my dog and I play a little bit of basketball and get to hang out with some people.

Utilizing CPUs to serve large language models (LLMs) is a resource-friendly alternative to GPU serving. Existing CPU-based solutions ignore workload differences between the prefill and the decode phases of LLM inference, applying a static per-NUMA (Non-Uniform Memory Access) node model partition and utilizing vendor libraries for operator-level execution, which is suboptimal. We propose Sandwich, a hardware-centric CPU-based LLM serving engine that uses different execution plans for the prefill and decode phases and optimizes them separately. We evaluate Sandwich across diverse baselines and datasets on five CPU platforms, including x86 with AVX-2 and AVX-512, as well as ARM with NEON. Sandwich achieves an average 2.01x throughput improvement and 90% satisfactory time-to-first-token (TTFT) and time-per-output-token (TPOT) latencies with up to 3.40x lower requirements in single sequence serving, and significant improvement in Goodput in continuous-batching serving. The GEMM kernels generated by Sandwich outperform representative vendor kernels and other dynamic shape solutions, achieving performance comparable to static compilers with three orders of magnitude less kernel tuning costs.