Terranova Security
Our cybersecurity awareness platform streamlines the distribution and administration of training materials, assesses knowledge retention, and monitors participation along with learning outcomes, among other features. It enables the efficient rollout and oversight of your training initiatives, facilitating the enrollment, management, and tracking of participants seamlessly. Serving as a significant enhancement to your training efforts, this management system empowers you to monitor and evaluate results with greater precision. Additionally, our platform boasts robust course creation tools that enable the design of focused and modular training campaigns, which is essential for fostering long-term behavioral change and awareness in cybersecurity practices. By leveraging these capabilities, organizations can ensure that their teams remain informed and engaged in an ever-evolving digital landscape.
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Canditech
Canditech equips HR professionals and hiring managers with the tools they need to make swift, confident, and impartial hiring choices. Its comprehensive testing platform assesses both technical and interpersonal skills through job simulation evaluations that encompass a range of tasks such as coding, SQL, Excel, and video communication. These assessments serve as strong indicators of a candidate's future job performance and overall fit for the role.
By adopting a holistic perspective, the platform enables recruiters and hiring managers to fairly evaluate candidates for various positions across the organization, including departments like R&D, Marketing, Sales, and Customer Support. Candidates are also given the opportunity to demonstrate their technical abilities alongside their soft skills, fostering a positive experience throughout the hiring process.
From the outset, the platform delivers impressive returns on investment:
✅ Cut down the time-to-hire by 50%
✅ Minimize unnecessary interviews by 80%
✅ Enhance diversity in hiring and mitigate bias
Ultimately, Canditech not only streamlines the hiring process but also promotes a more equitable evaluation of potential employees.
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Mathstral
This year marks the 2311th anniversary of Archimedes, and in his honor, we are thrilled to unveil our first Mathstral model, a dedicated 7B architecture crafted specifically for mathematical reasoning and scientific inquiry. With a context window of 32k, this model is made available under the Apache 2.0 license. Our goal in sharing Mathstral with the scientific community is to facilitate the tackling of complex mathematical problems that require sophisticated, multi-step logical reasoning. The introduction of Mathstral aligns with our broader initiative to bolster academic efforts, developed alongside Project Numina. Much like Isaac Newton's contributions during his lifetime, Mathstral builds upon the groundwork established by Mistral 7B, with a keen focus on STEM fields. It showcases exceptional reasoning abilities within its domain, achieving impressive results across numerous industry-standard benchmarks. Specifically, it registers a score of 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, highlighting the performance enhancements in comparison to its predecessor, Mistral 7B, and underscoring the strides made in mathematical modeling. In addition to advancing individual research, this initiative seeks to inspire greater innovation and foster collaboration within the mathematical community as a whole.
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Sora
Sora is a cutting-edge AI system designed to convert textual descriptions into dynamic and realistic video sequences.
Our primary objective is to enhance AI's understanding of the intricacies of the physical world, aiming to create tools that empower individuals to address challenges requiring real-world interaction.
Introducing Sora, our groundbreaking text-to-video model, capable of generating videos up to sixty seconds in length while maintaining exceptional visual quality and adhering closely to user specifications.
This model is proficient in constructing complex scenes populated with multiple characters, diverse movements, and meticulous details about both the focal point and the surrounding environment. Moreover, Sora not only interprets the specific requests outlined in the prompt but also grasps the real-world contexts that underpin these elements, resulting in a more genuine and relatable depiction of various scenarios. As we continue to refine Sora, we look forward to exploring its potential applications across various industries and creative fields.
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