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Cerebras’ Inference Breakthrough Extends AI’s Speed Advantage The AI computing company Cerebras Systems has achieved a significant breakthrough in AI processing speed, running Meta’s Llama-3.1-70B model at over 2,100 tokens per second with their latest inference software. This means the AI system can write approximately 90,000 words per minute. For reference, most people type at under 100 words per minute; humanity’s fastest typists reach over 300 words per minute; and record-breaking talkers can enunciate over 600 words per minute. In this sense, humans are now over one hundred times slower than AI. To put this in perspective: a Cerebras-powered Llama model could produce all seven Harry Potter books in about twelve minutes. Looking ahead, future AI models will operate many times faster than the current state of the art. Indeed, Cerebras’ latest release is already three times faster than the company’s previous inference system from earlier this year. The speed differential between human and machine processing will create challenges for controlling future AI models, which will not only be faster, but also more competent. For instance, it may be difficult to maintain meaningful human oversight over systems that can form and evaluate countless plans in the blink of an eye. #AI #Inference #Speed Pictured: Cerebras promoted an ad video where their chip smashes through glass, symbolizing how it broke the 2,000 tokens/second barrier.

I attended a fireside chat on the advancements in "AI infrastructure for Enterprises" with Erik Bernhardsson, CEO at Modal, and Teddy Citrin from Definition. The chat highlighted the evolving landscape of AI products within enterprises, touching on infrastructure development and offering insights into the future of AI, data, and machine learning. Businesses are set to experience exciting developments as they leverage AI technologies. #AI #EnterpriseAI #FutureTech

A special shoutout to our CRO, Spencer Huang, who will take the stage at The Montgomery Summit next week. Spencer will share insights on streamlining the creation of AI and machine learning models for edge hardware during the Data Infrastructure track. Learn more about the summit https://hubs.ly/Q02mHBJr0. #ai #edgeai #edgeimpulse #machinelearning

Tech enthusiasts, behold! 🌟 Apple's new MM1 AI models are here, blending visual and textual data like never before! 🍏👀 With up to 30 billion parameters, these models are learning from minimal examples and standing strong against AI giants like GPT-4V. 🚀 The secret sauce? Fine-tuning image encoders and a mix of image-text data. Results? The MM1-30B scores impressively in reasoning tests, proving it's not just smart, but also resourceful! 🧠📈 Article: https://lnkd.in/etfztBG2 For the latest in AI, keep following Maxime Jabarian 🔔 #AppleAI #TechNews #Innovation

Google's latest innovation, GenChess, marks a significant advancement in the realm of generative AI. By reimagining chess pieces through AI-driven creativity, Google is enhancing the traditional game and pushing the boundaries of AI applications in design. This development showcases the potential of AI to transform conventional experiences into something extraordinary. As we explore the future of AI in creative domains, GenChess stands as a testament to the endless possibilities that lie ahead. Read more from The Verge here => https://tulle.cc/93x #AIInnovation #ChessReimagined

David vs Goliath: The AI Underdog Takes Aim! 💪🏽🤖 Meet Molmo, the game-changing open-source multimodal AI model that's taking on the giants of Visual LLM! 🚀 In the battle of Visual LLM, Molmo is David to the industry Goliaths like Google, OpenAI, and Anthropic. But don't underestimate its power! 💥 🙌Slaying the giants: Molmo matches the capabilities of GPT-4, Gemini 1.5 Pro, and Claude-3.5 Sonnet. 🥷Efficient warrior: 72B, 7B, and 1B-parameter variants for flexible deployment. Smart strategy: Trained on 600,000 curated and annotated images, ensuring accurate and conversational results. Molmo's arsenal includes: ✅Visual question answering 🤔: Identify objects, count items, and answer complex questions. ✅Zero-shot actions 🔍: "Points" at relevant image parts and navigates web interfaces. ✅Cross-modal understanding 💡: Seamlessly integrates vision and language. Why is Molmo a game-changer? 😎Democratizing AI 🌎: Empowers developers, researchers, and creators to build AI-powered apps without permission or subscription fees. 😎Disrupting the AI landscape 🌪️: Challenges the notion that only big tech companies can develop state-of-the-art models. Share your thoughts! Can Molmo take down the giants? 💬 #AI #OpenSource #Molmo #Multimodal #ComputerVision #NaturalLanguageProcessing #Innovation #Tech #DavidVsGoliath #VisualLLM https://lnkd.in/gR2eEu5M

🚨 Yesterday Anthropic released its new Claude 3.5 Sonnet model with state of the art AI code generation capabilities. 👇 My take on this news as the creator of G2’s AI code generation category: 🤖 Claude is currently the sixth-most-popular product in the category by traffic. This benchmark-leading release could see them climb those ranks if competitors don’t respond. 🤖 This release contributes massively to the fast-growing generative AI space - monthly pageviews for G2’s AI code generation category saw a 119% surge from June 2023 to their peak in April 2024. See below for the top 10 most popular products in G2’s AI code generation category, along with a visualization of the traffic surge the category has experienced in the past year. Check out the comments below for more info and to share your take! #technews #Claude #AICodeGeneration

🚀 1,000,000 public models milestone achieved on Hugging Face! 🤯 This chart shows the explosive growth of open-source AI. It's not just about numbers - it's a thriving community combining cutting-edge ML with real-world applications. Can't wait to see what's next! #OpenSourceAI #MachineLearning #HuggingFace

OpenAI Unveils O1: The Next Leap in AI Reasoning OpenAI’s latest model, O1, has arrived, bringing advanced reasoning capabilities to the forefront of AI technology. Designed to tackle complex problems with greater precision, O1 enhances decision-making and problem-solving across various industries. Meet O1: OpenAI’s latest breakthrough in AI reasoning and problem-solving. #KirshiTechnologies #OpenAI #O1Model #AIReasoning #TechInnovation #ArtificialIntelligence #AIAdvancements #FutureOfAI #TechTrends #AIInBusiness #MachineLearning #SmartTech #DecisionMaking #ProblemSolving #AIRevolution

Feeling Proud of my AI team and of the MLOps Platform we built in the past few years at sennder! And guess what? #weAreHiring  🚀 🚀 🚀 Nikunj challenged me to go live on TrueFoundry talks and unveil the magic behind the world of #machineLearning, #mlOps and #artificialIntelligence. And the end result was a blast! We talked about the classic "us and them" between ML deployment and R&D and how we overcome this at sennder with a "there is no small task" mindset, collaboration and full sense of ownership - you built it, you run it. We also discussed how we can operate ML at scale. Getting the recognition of the great technical work that my teams are doing was "the cherry on the top of the cake". Weights & Biases, Flyte, BentoML and Ray where the stars of the show on the technical side (with an honorable mention to Amazon SageMaker). I am grateful for this opportunity and for the invite - had a great time! And you? Are you Interested on disrupting #roadLogistics in Europe? Passionated about #artificialIntelligence applications? Want to grow, have business impact and get to "the real deal"? Then join our team! We are hiring in Germany and Spain with #remote options available: * Staff Machine Learning Engineer: https://lnkd.in/eXWcNjXc * (Senior) Artificial Intelligence Engineer: https://lnkd.in/ea2D3cZS #ChangingTheGame #DataDrivenLogistics #AIInnovation #sennder #Logistics #logisticssolutions #TrustInData #Digitalization #KeepOnTrucking #artificialintelligence #machinelearning #recommendersystems #dynamicPricing #reinforcementLearning #operationsResearch #optimization #pricing