ns-3’s Post

Introducing Mistral-NeMo-Minitron 8B: A new benchmark in efficient, high-performance language models Mistral-NeMo-Minitron 8B was derived from the larger Mistral NeMo 12B model, following NVIDIA's successful pruning and distillation techniques. This 8B parameter model demonstrates the power of advanced pruning and distillation techniques in creating more compact, yet highly capable LLMs. Key highlights: - Derived from Mistral NeMo 12B using width-pruning and knowledge distillation - Achieves state-of-the-art performance on 9 popular benchmarks - Trained on just 380B tokens, showcasing remarkable efficiency Developers can access Mistral-NeMo-Minitron 8B on Hugging Face, opening new possibilities for efficient AI deployment across diverse applications. Learn more with resource in the comments.

🤠Saddle Up For the AI Wild West 🌄 The integration of AI/ML in semiconductor testing is gradually transforming the industry, but it's not without its challenges. Here's a snapshot of the key hurdles and the exciting opportunities: Challenges 1.     AI/ML can only recognize faults based on trained data, struggling with unexpected anomalies. 2.     It requires substantial data for training and adaptability to specific customer needs. 3.     Over-reliance on simulation data can miss real-world nuances. 4.     AI presents integration challenges as ensuring data quality, computational capacity, and cultural shifts in fabs are big hurdles. 5.     Traceability throughout the semiconductor lifecycle is crucial for AI-driven analytics. 6.     Human expertise is necessary to guide AI/ML algorithms and refine models. 7.     Current industry resistance to data sharing hampers AI/ML potential. Opportunities 1.     Integrating ML-based multivariate analysis improves defect detection compared to traditional univariate analysis. 2.     AI/ML enables proactive maintenance and real-time process adjustments. 3.     Enhances decision-making by democratizing data insights and ending departmental silos. 4.     Federated learning and homomorphic encryption can address data-sharing concerns. 5.     Ongoing investments in AI/ML will improve semiconductor manufacturing efficiency over time. #yieldmanagement #AI #testing #trainningset #modeltraining #semiconductors #OSAT #IDM #chips

Can AI keep scaling through 2030? This is an interesting research from @EpochAIResearch AI that explores this question with respect to four vital constraints: https://lnkd.in/g8aN8QEH • Power availability: Expanding power supply faces challenges due to grid-level constraints, carbon commitments, and political factors. • Chip manufacturing capacity: Chip manufacturing capacity is limited by the availability of advanced packaging and high-bandwidth memory (HBM) production and the significant capital investment required for new fabs. • Data scarcity: Data scarcity is an uncertain bottleneck. Multimodal data might contribute to scaling, but its utility for advancing reasoning capabilities is limited. Synthetic data generation could potentially overcome the data bottleneck, but it comes with a large computational cost. • Latency : The latency wall is a distant constraint but eventually would require alternative solutions such as complex network topologies, larger pods, or more efficient communication protocols. #AI #scaling #pyrhon #llm

🚀 Future of AI hardware: From data center to smartphone with GEMESYS! 🚀 🎉 We are proud to be part of the latest edition of the NMWP.NRW and to help shape the latest advances and innovations in the field of artificial intelligence. 📖 Have you always wondered how the GEMESYS Chip works and why we will revolutionize AI with our technology? 🤖 In this article, our CEO Dr.-Ing. Dennis Michaelis explains the basic functioning of our chip and gives deeper insights into how we at GEMESYS want to use memristors and decentralized AI training to develop a self-learning AI chip. 🔎 A practical example at the end of the text underpins the application of the chip and provides a direct link to everyday life. So take the opportunity to find out about the latest changes in AI. #Artificialintelligence #Innovation #Technology #GEMESYS #NMWP #DecentralizedAI #TechRevolution

Interest insights from the latest Delphi Digital report. 1️⃣ The concept of "AirBnB for GPUs" is set to revolutionize the GPU marketplace, addressing the imbalance between surging demand and latent supply with platforms like Aethir leading the charge. 2️⃣ The depletion of public datasets for training advanced AI models underscores the need for innovative solutions. Algorithmic efficiencies such as Synthetic Data, Self-Play, and AI Search will be pivotal in driving the next leap in AI capabilities. 3️⃣ The rise of DataDAOs is reshaping data control and access. By decentralizing data and offering financial rewards for various data streams, DataDAOs are promoting equitable ownership and transforming the data ecosystem. These developments signal a promising future for decentralized technology and AI innovation. https://lnkd.in/eFNJCJNP

AI: The Confluence of Technology, Data, and Research Discover how advancements in computing, networking, and the internet have revolutionized AI and machine learning. Learn how these breakthroughs have enabled us to leverage vast amounts of data for training and fuel decades of research, resulting in incredible technological advancements. #AIandMLRevolution #TechnologyBreakthroughs #DataDrivenInnovation #ResearchAdvancements #ComputingPower #NetworkTechnology #InternetRevolution #ArtificialIntelligence #MachineLearning #TechnologicalAdvancements

Hot take: #LLMs will soon reach their limitations due to a few factors: --researchers estimate we will run out of high-quality internet text to train them by 2026, --#GPUs are approaching their physical size limitations (limits to Moore's Law) and also driving up energy usage at #datacenters, --there are certain types of learning that LLMs struggle with, leading to reasoning limitations. New computing approaches will be necessary to get #AI to the next level, which some are calling #artificialgeneralintelligence (AGI) — machines with human-like intelligence. Many of these are also solving the #energy consumption problem that is expected to be a major bottleneck for AI going forward. We explore biological, #neuromorphic, photonic, and #quantum computing and their potential AI capabilities in the client-only research brief linked in the comments below. CB Insights #artificialintelligence #machinelearning #deeplearning #tech #chips #AGI #artificialgeneralintelligence

This is the kind of breakthrough that will allow the capabilities and application of genAI to grow exponentially.

🚀 Exciting News Alert 🚀 🔮 Prediction: The development of new high-bandwidth interconnects for AI training in datacenters is set to revolutionize the field of artificial intelligence. 🌟 Get ready to witness unprecedented AI training performance, unleashing a new era of innovation and breakthroughs! 🌌 Key Takeaways: 1. Current bottlenecks in AI training performance due to limited interconnect bandwidth are a thing of the past with the emergence of advanced interconnect solutions. 2. The potential to unlock the full capacity of GPUs for AI developers will lead to accelerated progress in AI research, development, and deployment. 🚀 Exciting Times Ahead for AI! Let's embrace these technological advancements and look forward to a future where AI capabilities soar to new heights! 🌠 #AI #Technology #Innovation #Future #ArtificialIntelligence #TechForward

🌟 I'm absolutely thrilled to witness the incredible advancements in AI interaction capabilities, particularly with Claude 3.5 Sonnet's amazing ability to emulate human interactions with computers! 🖥️✨ The fact that this technology can move YOUR cursor, click, and type on YOUR computer screen is nothing short of groundbreaking. Imagine the transformation it could bring to AI applications across countless industries! 🚀 What excites me the most is its versatility—working seamlessly with any software without requiring speciality tools. This feature presents a massive potential for becoming an invaluable asset across various sectors. Of course, with great power comes the need for strong safety measures to protect against issues like prompt injection attacks. 🔐 Claude's standout performance, scoring an impressive 14.9% on the OSWorld evaluation, clearly demonstrates its leading position among AI models focused on computer interaction—especially when compared to the next highest score of 7.7%. While AI hasn't reached full human-level proficiency just yet, this is a significant leap forward. 🌍 For those in academia and research fields, Claude offers promising niche use cases, like automating tedious data entry tasks or setting up complex simulations—saving valuable time and resources. 🧑🔬🔍 It's an exciting time to be part of the AI community and witness the collaborative efforts to refine and secure such emerging technologies. 🤝🔧😊 Claude's Blogpost on this: https://lnkd.in/d4SMhzpW #AIBreakthrough #Claude #AI