Gemini 3 Gemini 3 pushes multimodal Al to the next level Text, audio, video, and reasoning combined Google is betting big on Al-first products The search and productivity war just escalate. #GeminiAl #MultimodalAl #GoogleA| #AlModels #TechNews

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Introducing OpenLedger: The Next-Gen Blockchain Network for Al 1/ What is OpenLedger? @OpenledgerHQ OpenLedger is a pioneering blockchain platform designed to power decentralized trust infrastructures, enabling the creation of payable Al models and agents. By facilitating secure data contribution and collaboration, OpenLedger empowers developers to build and monetize Al solutions effectively. (openledger.xyz) 2/ Key Components of OpenLedger: • Payable Al: Specialized language models capable of explaining and attributing back to data contributors, ensuring transparency and fairness in Al development. • Datanet: Specialized data sourcing networks built by companies or subject matter experts, providing high-quality, domain-specific ailored for Al models • Agents: Al models that power a variety of generative Al applications, including smart assistants, coding copilots, game engines, and trading systems. 3/ Proof of Attribution: At the core of OpenLedger is the principle of Proof of Attribution, ensuring fair reward distribution to data providers who contribute to model development. This mechanism provides transparency for data usage, aiding developers in tracing data sources and understanding their impact on model behavior. 4/ Strategic Partnerships: • Ether.fi Integration: In December 2024, OpenLedger partnered with Ether.fi, a leading liquid restaking protocol with over $6 billion in Total Value Locked (TVL). This collaboration enhances OpenLedger's network security and scalability, provid foundation for a robust alized Al development • GAIB Collaboration: OpenLedger joined forces with GAIB to revolutionize data utilization in Al and computing. This partnership aims to build an open, decentralized environment for Al development, leveraging OpenLedger's data blockchain expertise and GAIB's innovative economic system. 5/ Funding and Support: OpenLedger secured $8 million in seed funding from prominent investors, including Polychain Capital and Borderless Capital. This financial backing accelerates the development of OpenLedger's decentralized data ecosystem, fostering innovation in Al model creation and data monetization 6/ Community and Vision: Supported by industry leaders such as Sreeram Kannan (EigenLabs), Balaji Srinivasan (Former CTO of Coinbase), and Sandeep Nailwal (Polygon), OpenLedger is committed to creating a decentralized, transparent, and fair ecosystem for Al development. By emphasizing data attribution and contributor rewards, OpenLedger aims to transform how data is utilized in the Al 7/ Join the Movement: Developers, data contributors, and Al enthusiasts are invited to participate in OpenLedger's growing community. Engage in building datanets, contribute to Al models, and be part of the revolution in decentralized Al. Explore the testnet and join the conversation on Discord. 8/ Conclusion: OpenLedger stands at the forefront of integrating blockchain technology with artificial intelligence. By fostering a decentralized approach to data sharing and Al model development, OpenLedger is paving the way for a future where data contributors are recognized and rewarded, and Al innovations are built on a foundation of trust and transparency. #OpenLedger #Blockchain #Al #DecentralizedAl #DataMonetization #ProofOfAttribution #PayableAl #Datanet #AlModels #AICommunity

Phala has spend the past 5 years developing #TEE solutions to address the Trust Setup and TEE Availability issues. Phala now has a network of more than 36,000 #TEE workers (nodes) working with us. Phala offers the best templates for #Al use cases such as #AlAgents and #AlModels. Phala will continue to pioneer #TEE research and use cases, especially in its application within the domain of #AI.

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If you're training a machine to learn from images, it's important to label them properly. Here are the top 5 challenges and best practices for doing so. bit.ly/3AEHm7K #artificialintelligence #Almodels #Mlmodels #imagelabeling #imageannotation

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Data hungry #AI and ML models, high quality training datasets, and human annotators is what AI and #ML companies struggle with; which makes data annotation services extremely important for ML and AI models. bit.ly/3D0bzi6 #datalabeling #dataannotation #Almodels

Aimed to streamline the business decision-making, the very #videoannotation process itself is fraught with several complexities. Uncover the opportunities that the challenges carry for you by going through our blog. bit.ly/341UQ1k #artificialintelligence #Almodels

Image annotation allows businesses to uncover true feelings and emotions of customers and perfect their decision-making. Find out how Annotations add meaning to images and videos. bit.ly/32pf9os #imageannotation #artificialintelligence #Almodels #Mlmodels

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Check out the common challenges that act as hurdles for companies searching for best data annotation specialists for ML projects. bit.ly/31K9JEl #Almodels #MLprojects #dataannotation #dataannotationspecialist

Image annotation is critical to train #MLalgorithms and to learn the patterns. Find out how #imageannotation experts helped a food waste assessment solution provider to tackle food waste for restaurants and hotels worldwide. youtu.be/4zJ5Fb-72B4 #AI #Almodels #Mlmodels

Image annotation allows businesses to uncover true feelings and emotions of customers and perfect their decision-making. Find out how Annotations add meaning to images and videos. bit.ly/32pf9os #imageannotation #artificialintelligence #Almodels #Mlmodels

Methodical selection of data annotation service provider maximizes machine learning efficiency, strengthens your AI ecosystem, and boosts your confidence to execute AI & ML projects. bit.ly/31K9JEl | @Medium #artificialintelligence #Almodels #MLproject #dataannotation

Perfect your image annotation application framework by going through our one-stop, industry use-cases based guide on ensuring the right contextual image annotation application. bit.ly/3xXhWkz #imageannotation #artificialintelligence #Almodels #Mlmodels

Don’t let common misconceptions hamper the quality of #imageannotation. The presentation clarifies 5 common misconceptions to help you build quality image datasets and rightly drive your machine learning implementation. bit.ly/3I3tFCD #Almodels #Mlmodels

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