I have just submitted my feedback for Expertly I am particularly excited about its vision, which involves integrating twin fun and @memsync_ai to develop context aware, taskspecific and AI experts. If you have not yet completed the form I encourage you to do so . Your input is crucial in determining the initial development of the product This is an excellent opportunity to contribute to the project at an early stage.

What sets StrikeBit apart is its role as both a competitor and enabler in the agent space. While platforms like Virtuals focus on launching LLM-based agents, StrikeBit provides the toolkit to make those agents smarter, interoperable, and co-owned. Our flagship services allow users to build subagents, creating layered, taskspecific agent systems — a key feature of our modular design. This positions StrikeBit as the foundation for scalable, intelligent agent ecosystems #AI

The future of Web3 is here with Anoma, a revolutionary operating system that enables seamless interaction, composition, and negotiation between applications. Unlike traditional blockchains, which are limited to deterministic and taskspecific functions. Anoma operates like a brain, allowing users to express their intents and letting the system figure out how to fulfill them through decentralized matchers and solvers. This innovative approach positions Anoma as a gamechanger in the Web3 ecosystem, empowering users and developers to unlock new possibilities .

For OpenLedger network's modular LoRAbased models, ModelFlow is the specified inference and deployment engine. @OpenledgerHQ Intended for inexpensive, largescale implementation, ModelFlow enables justintime adapter loading and memoryaware scheduling—so thousands of finetuned adapters could be run on top of a single GPU node simultaneously. This greatly lowers the memory footprint and latency normally connected with conventional model serving. Each ModelFlowdriven instance has support from a small, bespoke LoRA adapter, not like monolithic generalpurpose LLMs. These adapters are trained for limited jobs and can be quickly hotswapped in milliseconds without rebooting the base model, therefore allowing for highly focused inference pipelines that remain performant under research loads. ModelFlow lowers tokenbased compute costs and raises response relevancy and interpretability by cutting domainconscious compression and focused vocabulary pruning until both input and output token lengths are minimized. In essence, ModelFlow gives a new generation of modular, goaldriven language models scalable, lowlatency inference. ModelFlow guarantees ideal resource use without sacrificing taskspecific accuracy whether you are operating a financial broker, a biomedical aide, or a bilingual customer support robot. Specially at scale. Deployment free of Compromises. OpenLedger

What happens when you teach an advanced sensorimotor integration concussion course to a room full of Sports Medicine professionals?? ➡️perturbation reaction drills! #taskspecific #elevate

SVFR: A Unified Framework for Generalized Video Face Restoration Contributions: - We propose a novel framework called Stable Video Face Restoration (SVFR) that unifies video BFR, inpainting, and colorization tasks, leveraging shared representations to enhance supervision from limited training data and improve overall restoration quality. - We introduce key innovations including a novel unified latent regularization to ensure proper embedding of taskspecific information, and a facial prior learning objective that incorporates human face priors using face landmarks, thereby enhancing the fidelity of the restored videos. - We develop a self-referred refinement strategy during inference, which refines generated frames by referring to previously generated ones, significantly improving temporal stability and coherence in the restored videos.

Hoe head for mulch application made to measure by local mechanic, bamboo handle made by us, cut to size for individual gardeners, have a good weekend folks #taskspecific #chungkaiwarcemetery @CWGC

UniVTG: Towards Unified Video-Language Temporal Grounding paper page: huggingface.co/papers/2307.1… Video Temporal Grounding (VTG), which aims to ground target clips from videos (such as consecutive intervals or disjoint shots) according to custom language queries (e.g., sentences or words), is key for video browsing on social media. Most methods in this direction develop taskspecific models that are trained with type-specific labels, such as moment retrieval (time interval) and highlight detection (worthiness curve), which limits their abilities to generalize to various VTG tasks and labels. In this paper, we propose to Unify the diverse VTG labels and tasks, dubbed UniVTG, along three directions: Firstly, we revisit a wide range of VTG labels and tasks and define a unified formulation. Based on this, we develop data annotation schemes to create scalable pseudo supervision. Secondly, we develop an effective and flexible grounding model capable of addressing each task and making full use of each label. Lastly, thanks to the unified framework, we are able to unlock temporal grounding pretraining from large-scale diverse labels and develop stronger grounding abilities e.g., zero-shot grounding. Extensive experiments on three tasks (moment retrieval, highlight detection and video summarization) across seven datasets (QVHighlights, Charades-STA, TACoS, Ego4D, YouTube Highlights, TVSum, and QFVS) demonstrate the effectiveness and flexibility of our proposed framework.

Outdoor walking group, 750m, 49mins, lots of sunscreen, hats, water and amazing chats and laughter #functional #taskspecific achieving goals. Two patients, student, learning loads from each other. Photo permission @OUH_OCE @MOReS_OBU @sarahftyson

#NeuroPhysio is the best job! Never lose that feeling when a person walks for the first time again after neurological illness/injury, this time 21 months post #Stroke after 4 months rehab with us. #RehabMatters #NeverGiveUp #InvestinRehab #TaskSpecific #1000reps @kareena_reehal

Top 10 Commands for Deploying & Maintaining your @Ceph Cluster, by @dabukalam. Want more? Let us know in the comments 👇 softiron.com/blog/10-essenti… #SoftIron #CephStorage #HyperDrive #TaskSpecific #DesignedNotAssembled #OpenSource

Where do you begin to evaluate your options when it comes to #softwaredefinedstorage? @ArchitectingIT has got you covered in their latest ebook. Download it for free here. softiron.com/resources/valid… #SoftIron #EnterpriseStorage #TaskSpecific #HyperDrive

.@AJMoloney talks to @dcdnews about all the ways in which the right IT hardware can slash #datacenter power consumption, in some cases by up to 80%! The conclusion? Hardware really does matter. datacenterdynamics.com/en/ma… #SoftIron #HyperDrive #DesignedNotAssembled #TaskSpecific

@BrunoAverbeck and colleagues show taskspecific information flows along the caudo-rostral and dorso-ventral axes, reflecting the cognitive process of identifying the location or identity of a valuable object. nature.com/articles/s41467-0…

What is #Ceph, and what makes it the gold standard in #opensource #SoftwareDefinedStorage? @markusleinonen explains all in his latest clip youtu.be/_zBnR-PIGgQ #SoftIron #EnterpriseStorage #HyperDrive #TaskSpecific #opensourcesoftware

If you're curious about whether #SoftIron #Veeam is a good fit for your organization, have a read of our solution brief here: bit.ly/HyperDriveVeeamSB #backupandrecovery #HyperDrive #opensourcesoftware #Ceph #TaskSpecific

When we say #DesignedNotAssembled, we're referring to a deeply ingrained culture of purpose-driven production. As a result, our #TaskSpecific solutions for the #datacenter deliver unparalleled performance, efficiency, and usability. youtube.com/watch?v=gWWr7JmQ…

"The new-world data center needs to be cost-effective, efficient, resilient to failure, & display some capability to self-heal for business continuity,” says @CraigChadwell, VP Product. @tfir_io takes a deep dive into how #SoftIron delivers. tfir.io/old-data-centers-are… #TaskSpecific

Since when did #softwaredefined mean that #hardware doesn’t matter? Hardware really is - or should be - at the heart of a strategically built, efficient, and performant data center. This is what we mean by #TaskSpecific. crn.com.au/feature/hardware-… #SoftIron #DesignedNotAssembled

#SoftIron earns Editor's Choice in @CIOReview's "Top 10 Most Promising SDN Solution Providers 2020". @AJMoloney explains how our #taskspecific approach delivers efficient, scale-out #datacenter solutions for the enterprise. bit.ly/CIOReview_SoftIron #SoftwareDefinedNetworking