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Watch our in-depth exploration of Mixtral 8x7B, the cutting-edge AI model reshaping the landscape of machine learning! Our AI expert sheds light on the evolution and details of Mixtral 8x7B, what sets it apart, and how it leverages the concept of of MoE (Mixture of Experts). Click to Watch https://ow.ly/TCTQ50QS8Hp

Special episode - #xLSTM and a gripper - 🎧listen to it on any catcher search for Industrial AI „We have enhanced #LSTM to xLSTM by exponential gating with memory mixing and a new memory structure. xLSTM models perform favorably on language modeling when compared to state-of-the-art methods like Transformers and State Space Models. The scaling laws indicate that larger xLSTM models will be serious competitors to current Large Language Models that are built with the Transformer technology. xLSTM has the potential to considerably impact other deep learning fields like #ReinforcementLearning, Time Series Prediction, or the modeling of physical systems.“ Have a look 👀 Peter Seeberg / Jakub Tomczak Thanks to Sepp Hochreiter Johannes Brandstetter Günter Klambauer Albert Ortig and the whole team. Next step: scaling and a product. #AI #Machinelearning #GenAI

xLSTM: A Step Towards Technological Independence for Europe? 🌍 The recent release of the #xLSTM paper, an evolution of the famous LSTM architecture by Sepp Hochreiter and Jürgen Schmidhuber, presents a new opportunity for Europe. xLSTM introduces innovative features such as residual stacking, LayerNorm, and a complex matrix memory, significantly enhancing its capabilities over traditional transformer models. Jensen Huang, CEO and founder of NVIDIA, has emphasized earlier this year the strategic importance of each country developing its own AI model to reduce dependency on others on this critical technology. With the advent of xLSTM, Europe is hopefully better positioned to forge its own path in the AI landscape. Lets hope our leaders and entrepreneurs will have the oversight to support this exciting model. #AI #NeuralNetworks #MachineLearning #DeepLearning #Technology #Innovation #EuropeAI

Excited to share my latest #medium article on Generative Artificial Intelligence! ✨   Building upon my previous exploration of Generative AI, where I delved into the most frequently used words in #genai this article takes a deeper dive into its foundational approaches. From Generative Adversarial Networks (GANs) to Transformer architecture, Large Language Models (LLMs), and Diffusion Models, we'll uncover the fascinating world of Generative AI.   Check out the article to learn more about these technologies and their potential applications: [https://lnkd.in/dPEpFHBb]   Looking forward to delving into the intricate details of these models in future articles! 💡 A special thanks to Baturay Serhat Karaduman for his incredible AI-generated artwork! #genai #techinsights #llms

FrontierMath Pushing the Boundaries of Mathematical AI FrontierMath is a groundbreaking new benchmark that is poised to transform the landscape of AI mathematical reasoning. Developed by a team of leading experts, this challenging benchmark comprises hundreds of novel and intricate mathematical problems that push the limits of current AI capabilities. Unlike existing benchmarks, FrontierMath has been meticulously designed to be far more difficult, requiring even seasoned mathematicians hours or days to solve. Crucially, the benchmark also prevents data contamination, ensuring that AI models cannot simply rely on having seen the problems before during training. The results are sobering - state-of-the-art AI models can currently solve no more than 2% of the problems in FrontierMath. This dramatic gap between human and machine mathematical prowess underscores just how far AI still has to go in truly emulating advanced cognitive abilities. As AI systems continue to advance, FrontierMath is poised to become an invaluable tool for charting progress and identifying areas in need of breakthrough innovations. The authors believe this benchmark will stand out as a critical milestone in the journey towards artificial general intelligence that can rival human-level mathematical mastery. https://lnkd.in/giRyDPMB https://lnkd.in/gpmdgV7K https://lnkd.in/gF2me5jr https://lnkd.in/gw2rB3ip #FrontierMath #AIBenchmark #MathematicalAI #AIReasoningChallenge #AIvsHuman #AIMathProwess #MathBreakthroughs #AILimits #AICapabilityGap #MathBeyondAI #PushingtheAIFrontiers #AIVisionForTheNextGen #AITransformation #MathematicllyIntelligentAI #AICompetition #AIProgressTracker

This could be a most relevant new #AI approach - coming from #Europe! Large language models (LLM) are the driver behind the current AI revolution. All current #LLMs are based on the #transformer technology. #xLSTM is a totally different approach, working without a transformer. They have trained relatively small models (max 1.3B parameters) with relatively small amounts of training data. For that, they reach very good results on scientific benchmarks like next word prediction. Using less compute for inference at the same time. The important next question is: how will they perform on the standard benchmarks like #MMLU, compared with small LLMs like #GeminiNano (1.7B parameters) or Microsoft’s #Phi2 (2.7B params). If they take this next step really well, then the best choice for an LLM on a #phone might soon come from Europe! :-) #AI #KI #GPT Sepp Hochreiter

Mastering Gen AI isn't just a click away! It's an intricate blend of algorithms and data analytics, a testament to the advancements and capabilities of large language models (LLMs).  Gen AI involves understanding and working with intricate algorithmic architectures, such as neural network designs and attention mechanisms, which form the backbone of the AI models.       To delve deeper into the world of Gen AI, visit www.picloud.ai or write to us reachus@picloud.ai       #PiCloudAI #PiDatacenters #GenAI #Algorithms #DataAnalytics #Neuralnetwork #Techinnovation #Machinelearning 

In the latest issue of Agentplex Weekly, dive into the ever-evolving world of AI Agents. From early definitions by pioneers like Turing and Wiener to modern interpretations involving LLMs, the article covers a range of perspectives and insights from industry leaders like Andrew Ng and LangChain's CEO, Harrison Chase. Whether you’re an AI enthusiast or a seasoned professional, this piece sheds light on the latest advancements and ongoing debates in the AI community. Read on to discover how these agents are shaping our future. https://lnkd.in/eXGdvuTy #AI #MachineLearning #AIAgents #LLMs #TechInnovation #FutureTech #ArtificialIntelligence #AgentplexWeekly

To provide the the students with insights in upcoming trens and Technology, organized session on Text Generation and Augmentation in Big Data Pipelines Using Generative AI

Exciting news in the realm of AI and machine learning! We are thrilled to announce the release of our latest blog post on VPTQ: Extreme Low-Bit Quantization for Real LLMs. This comprehensive piece explores the innovative techniques behind low-bit quantization that can significantly enhance the efficiency and performance of large language models. Discover how VPTQ can optimize model deployment and reduce memory usage without sacrificing accuracy. We invite you to read more about these groundbreaking advancements and their implications for the future of AI by visiting our blog post at https://ift.tt/AfarV3v.