tasq.ai

At tasq.ai, we believe that excelling in AI requires addressing two major challenges: data and power consumption. #Human #guidance is essential in overcoming the data challenge, ensuring our AI solutions are both effective and efficient. Recent incidents, like Microsoft's AI mistakenly accusing a reporter, underscore the need for robust AI oversight : https://lnkd.in/dg-S-2KH Even the most successful models require a human layer to ensure responsible and ethical AI. Interested in learning how tasq.ai can help you navigate the complexities of AI with #human-#guided insights? Contact us today

We're eager to share the latest research from our Chairman, Prof. Shai Dekel: "Wavelets Are All You Need for Autoregressive Image Generation." This innovative paper presents a fresh approach to image generation, utilizing #wavelet coding to create visually striking, high-quality images with a focused and effective method. Explore how this could shape the next era of #AI and image #generation. Dive into the full research here : https://lnkd.in/dJw7gzth At tasq.ai, we're continuously working on improving #Gen #AI #evaluation solutions. As AI technology advances, we remain committed to providing accurate and reliable evaluation processes. Subscribe to our newsletter to stay updated! https://lnkd.in/dYEBWb-G

tasq.ai has been handpicked to join the #MindTheTech London 2024 Dream Team by Calcalist כלכליסט! In times like these, being chosen truly energizes us. We’re proud to stand among Israel’s leading startups and share our innovations with the world. Mark September 16-17 on your calendar and join us in London! With valuable networking and opportunities to connect. Secure your ticket now on the conference website: https://lnkd.in/gUFNaQKF

Boosting Ads Integrity with tasq.ai Maintaining the integrity of #ads is crucial in digital advertising. Misleading content, inappropriate visuals, and false claims can harm brand reputation and user trust. That's where tasq.ai steps in. Here’s how we help: 1. Content Check: Our platform reviews ad content to ensure it meets industry standards and regulations, catching misleading claims and inappropriate content. 2. Visual Review: Using computer vision, tasq.ai flags visuals that don't meet brand guidelines or legal requirements. 3. Text Analysis: Our language models scan ad copy to correct any misleading or false statements. 4. Global Human Feedback: We use human feedback from diverse locations worldwide to validate ad content, ensuring cultural sensitivity and compliance with local regulations. 5. Scalable Solutions: Our AI and human feedback approach handles large volumes of ad content efficiently, scaling with your needs. By leveraging #tasq.ai, companies can ensure their ads are effective, ethical, and compliant. Check out this recent article on Google's efforts to block bad ads and improve ad safety with AI: #Google Blocks 5.5 Billion Bad Ads, Leverages AI for Improved Ad Safety. (link in the first comment) Let’s work together to create a safer, more trustworthy advertising ecosystem. #AdsIntegrity #AI #Compliance #DigitalAdvertising #BrandSafety #tasqai #AIInnovation #HumanFeedback #Scalability

We are excited to join forces with Accenture on GenAI and technology innovation. Don’t miss out on Ehud Barnea, PhD talk on optimizing GenAI with human-as-a-model! See you there! Please note – the number of places for the physical meeting is limited. #genai #innovation #AI #data

tasq.ai is now live on the Microsoft Azure Marketplace! Our Ultra-Scale Human Guidance Services for #ML #evaluation and training are designed to help businesses achieve unparalleled accuracy and efficiency in their #AI and machine learning projects. By leveraging our groundbreaking technologies, companies on Microsoft Azure Marketplace will be able to set new standards for processing data for AI. What does this mean for you? Seamless Integration: Easily integrate our service with your existing infrastructure. Scalability: Handle large volumes of data effortlessly. Accuracy: Achieve superior data quality with our innovative approach. Efficiency: Speed up your AI projects and go to market faster. Join the growing number of businesses transforming their AI data processes with tasq.ai. Check out our service on Microsoft Azure Marketplace https://lnkd.in/dDV3iQ8R

CVPR last week exceeded all expectations! We can't wait to see where the future of AI takes us and to continue these impactful discussions and collaborations. #CVPR2024 #AI #ResponsibleAI #Tasqai #Innovation

Today, we are excited to share that tasq.ai and Tenyks have partnered to offer a comprehensive solution for management, curation, training and evaluation of #AI and #computervision based applications. Tenyks's visual data management platform powered by Intelligent Search together with tasq.ai's global diverse human guidance target to provide enterprise customers with a complete state of the art solution to improve accuracy while cutting time to production and total cost of ownership. tasq.ai's on-demand global networks consisting of millions of qualified human taskers, coupled with Tenyks ability to chain and fine-tune state-of-the-art foundation models, creates the ultimate method for extensive #data exploration, curation, model #evaluation and fine tuning. Together, our customers will profit from extracting actionable insights from unstructured visual information at massive scale, faster and more cost effective than ever. Want to find out more? Visit our website now : www.tasq.ai Noa Franko-Ohana Botty Dimanov, PhD Nati Catalan

Our VP of Partnership, Noa Franko-Ohana will be participating in an upcoming panel on #responsible #data, which is part of the #CVPR conference, showcasing our commitment to ethical AI practices. #AI is revolutionizing our world, but with great power comes great responsibility. At Tasq.ai, we're not just keeping up; we're leading the charge in responsible AI, ensuring our solutions are ethical, inclusive, and impactful. What sets us apart? Our diverse, global community. Spanning continents and cultures, we include individuals of all ages and backgrounds. This diversity is our foundation, allowing us to develop AI with a deep, nuanced understanding of the world's complexities. Imagine #AI trained not just by data scientists in tech hubs, but by people from rural villages, bustling cities, and everywhere in between. Each perspective adds richness to our AI, making it more robust and fair. Our technology’s global reach ensures that AI systems are built with empathy and insight, tapping into a wide array of perspectives to mitigate biases and create equitable solutions. Consider the challenge of #ML model evaluation. When models are evaluated by a homogeneous group, biases can emerge. Our diverse #crowd ensures that our AI models are trained on data reflecting a multitude of experiences and viewpoints, significantly reducing this risk. Moreover, we integrate #human judgment into our AI development process. This human-in-the-loop approach enhances accuracy and reliability, allowing us to catch and correct potential biases early on. At Tasq.ai, our commitment to responsible AI is unwavering. We prioritize transparency, fairness, and privacy, ensuring that our technology benefits everyone. Join us in building a future where AI serves all of humanity, reflecting the true diversity of our world. https://lnkd.in/d5uK2QZd

The Critical Need for Thorough AI Evaluation - A The Wall Street Journal test of five leading AI chatbots (OpenAI’s ChatGPT, Microsoft’s Copilot, Google’s Gemini, Anthropic’s Claude, and Perplexity) showed that no single chatbot excels in all areas. (link to their great article in first comment) This highlights the importance of comprehensive testing before making business decisions. The WSJ used the same group to create and judge prompts, ensuring consistency but also introducing potential bias. A single group's evaluation reflects their specific perspectives and biases, which can skew results. Limitations of WSJ’s Evaluation Approach: 1. Homogeneous Perspective: Limited diversity of thought can lead to a narrow view of what constitutes a "good" response. 2. Potential Bias: Evaluators’ experiences and knowledge can influence their assessments, leading to subjective evaluations. 3. Lack of Real-World Variation: A single team may not represent the varied needs and questions of different users, resulting in an incomplete evaluation. Why tasq.ai Leads the Way: 1. Unmatched Expertise: Thousands of evaluators, selected for their cognitive abilities and domain expertise, provide deep and broad insights. 2. Superior Speed and Precision: Faster and more accurate evaluations help businesses make informed decisions quickly. 3. Global Perspective: A diverse evaluator base enhances the reliability and relevance of assessments. Before committing to any AI for your business, ensure it has been tested and evaluated. Tasq.ai’s advanced evaluation methodology guarantees you get the best-fit AI for your needs. #llm #AI #genAI