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No time to check the news this week? Let's dive into the latest Tech highlights you shouldn't miss this week, one new at a time 💥 1️⃣ Meta Unleashes Llama 3 Meta has unveiled Llama 3, claiming it's one of the best open models out there. This new generative AI model aims to enhance how we interact with machine learning across various applications. https://lnkd.in/dZdjKy7x 2️⃣ Hugging Face's New AI Benchmark: Hugging Face introduces a new benchmark for evaluating generative AI in health-related tasks. This could revolutionize how AI supports decision-making in healthcare, offering more accurate and reliable tools. 🏥 https://lnkd.in/dD3qawnt 3️⃣ LinkedIn Premium Upgrade LinkedIn's latest update boosts visibility for Premium company pages, offering deeper insights into who's checking out your business. This could be a game-changer for B2B engagement on the platform. 📈 https://lnkd.in/dUsG5A45 4️⃣ Intel's Open AI Commitment Intel is stepping up with other tech giants to commit to building open generative AI tools for enterprise use. This collaborative effort underscores the industry's move towards more transparent and accessible AI solutions. https://lnkd.in/dG769Nkm 5️⃣ Google Cloud Next Google is going all-in on generative AI at its Google Cloud Next event to shape the future of cloud. They're integrating AI deeply into their cloud offerings, signaling a major shift in how businesses will use cloud computing. ☁️ https://lnkd.in/dpBfAxAw Exciting AI news just dropped! From Meta's Llama3 to the Google's all-in on AI, the future is zooming towards us! Stay tuned as we continue exploring these tech marvels. Keep innovating, keep learning! 🚀 Did you like this TechRoundUp? Then you better subscribe MLPills and enjoy free Machine Learning and Data Science content straight to your email every Saturday! 😉 https://t.co/ZHtPRHgyUT

🌐 Microsoft's Phi-3-mini vs. Meta's Llama 3 🌐 In the rapidly evolving domain of AI language models, size and efficiency are at the forefront of the debate. Microsoft's Phi-3-mini, with its 3.8 billion parameters, is setting new standards in the field, outshining competitors like Meta's Llama 3 on multiple performance benchmarks including BigBench Hard, MMLU, and various reasoning tasks. 🚀 Phi-3-mini's compact size belies its capabilities, allowing it to run on smartphones and other edge devices, democratizing AI technology thanks to its open-source availability under the MIT license. This model’s use of high-quality filtered web data combined with synthetic data for enhanced reasoning abilities makes it a robust tool for developers and researchers alike. On the other hand, Meta's Llama 3, with its 8 billion parameters, excels in tasks requiring deep factual recall and complex pattern recognition. Its size, while requiring more powerful hardware, supports superior performance in long-context information retrieval, making it ideal for intensive applications. As AI continues to integrate into our digital experiences, the trade-offs between model size, efficiency, and task suitability remain critical. The development of such models not only pushes technological boundaries but also sparks essential discussions on the future landscape of AI applications. How do you see these advancements influencing your industry? #AI #Microsoft #Meta

🌐 Meta has open sourced Llama 3.1 405B finally to give tough fight to GPT-4o 🔑 Key Developments: • 🚀 Meta has open sourced Llama 3.1 405B: First frontier-level open source AI model • 💪 Competitive with advanced closed models • 🔓 Open, modifiable, cost-efficient • 🆕 New improved 70B and 8B models also released 🛠️ Ecosystem Growth: • 🏢 Amazon, Databricks, Nvidia: Fine-tuning services • ⚡ Groq: Low-latency inference • ☁️ Available on major cloud platforms • 🤝 Partnerships with Scale.AI, Dell, Deloitte for enterprise adoption 💡 Benefits for Developers: • 🎯 Customization for specific needs • 🔒 Data protection and control • 💰 ~50% cost reduction vs. closed models like GPT-4 • 🔀 Avoid vendor lock-in 🌍 Why Open Source AI Matters: • 🔬 Accelerates innovation and research • 🤝 Promotes equitable access • 🛡️ Enhances safety through transparency • 🌐 Decentralizes AI power 🔮 Meta's Perspective: • 🏗️ Building best experiences and services • 🔓 Avoiding constraints of closed ecosystems • 📈 Long-term benefits outweigh short-term advantage 🔐 Safety Considerations: • 🧪 Rigorous testing and red-teaming • 👥 Community-wide scrutiny • ⚖️ Balancing innovation and responsible development 🚀 The Future: • 📈 Rapid advancement in open source AI • 🌱 Building robust ecosystem for long-term growth • 🌎 Democratizing AI access globally Join the open source AI revolution! Access Llama 3.1 at llama.meta.com #OpenSourceAI #LlamaAI #AIInnovation #TechFuture

Google Updates Gemini Model Lineup Amid Rise of "AlphaChip" 🚀💻 Google has announced significant updates to its Gemini model lineup, including two new production-ready models. 🎉 Here are the key highlights: The new models demonstrate improvements in overall quality, with notable gains in: Math tasks Long context handling Vision tasks Google claims a 7 percent increase in performance on the MMLU-Pro benchmark and a 20 percent improvement in math-related tasks. However, the usefulness of AI benchmarks is a topic of debate in the AI community, with some questioning their accuracy and relevance. The updates to the Gemini model lineup come as the AI landscape continues to evolve, with the rise of "AlphaChip" and other emerging technologies. 🌐 Meta also updates its AI models In a related development, Meta has also updated its AI models, as the company continues to invest in its AI research and development efforts. 📈 Stay tuned for further updates on the latest AI trends and developments! 📰 Like, Share, and Reshare to spread the word! 🤩 Follow us for more updates on the latest AI and tech news! 👉 Share your thoughts and opinions in the comments below! 💬 #Google #GeminiModel #AIUpdates #AlphaChip #Meta #AIBenchmarks #TechNews

Stable Diffusion 3 Open Weights Stability AI has released SD 3 weights for non-commercial use, with commercial use available on request. This is a major step forward for the AI community! Shutterstock ImageAI, Powered by Databricks Stability AI continues to innovate with the release of SD 3 weights for non-commercial use, with commercial use available on request. This collaboration is set to drive significant advancements in AI-powered image processing. OpenAI Annualized Revenue Doubles OpenAI has more than doubled its annualized revenue, reaching an impressive $3.4B! This milestone highlights the growing impact and adoption of AI technologies across industries. Maintaining Large-Scale AI Capacity at Meta Meta is upgrading its global data centers to support AI demands, planning to scale to 600,000 GPUs for AI training jobs. With innovative maintenance strategies and tools like OpsPlanner, Meta ensures minimal disruptions and consistent performance while rapidly scaling infrastructure. Meta Could Threaten Google's Search Crown Meta, leveraging its vast reach through WhatsApp, Instagram, and Facebook, poses a credible threat to Google's search dominance. By potentially redirecting searches to its own results, Meta could disrupt Google's market share. Marketers should be prepared for potential shifts in search behaviors driven by this emerging competitor. To get regular update on AI Visit - https://lnkd.in/gPWMtti5 #AI #TechInnovation #MachineLearning #DataScience #StabilityAI #OpenAI #Meta #TechNews #FutureTech #AIRevenue #DigitalTransformation #SearchEngineMarketing #AIInfrastructure #Shutterstock #Databricks #GPUs #EmergingTech #ArtificialIntelligence #AIInnovation #MachineLearning #DeepLearning #AIDevelopment #TechNews #AIResearch #AITechnology #DataScience #BigData #AITrends #AIUpdates #TechIndustry #AIRevolution #FutureTech #AIinBusiness #AIApplications #AIAdvancements #AIInsights #AICommunity #AI

The first half of 2024 has been a period of rapid advancements and significant developments in the field of #AI. Here’s a summary of the key trends and insights shaping the AI landscape, from soaring training costs to groundbreaking new technologies and models. Escalating Costs of AI Training Training AI platforms is becoming increasingly expensive, with costs doubling every nine months, as highlighted by research from Epoch AI. This exponential rise in expenses means that training new models could soon exceed $1 billion when accounting for electricity, hardware, and employee compensation. Whether this trend will continue into the next decade remains uncertain. Some analysts predict that data shortages and rising AI chip prices could plateau both costs and performance gains; overall, this cost explosion will make it harder for smaller startups to compete with industry giants. Huge AI Infrastructure Investments at Major Players Microsoft, in collaboration with OpenAI, is developing a supercomputer with an estimated cost of over $100 billion, comprising millions of chips. This project underscores the massive scale and financial commitment required to advance AI infrastructure, with costs significantly surpassing those of modern-day data centers. Similarly, Meta is ramping up its infrastructure investments, planning to spend billions of dollars more on servers and data centers. Meta’s CEO, Mark Zuckerberg, has pointed out that energy constraints are a limiting factor in their data center buildout. Despite these challenges, Meta forecasts 2024 capital expenditures in the range of $35 billion to $40 billion, making it the largest CapEx investment in the company’s history. The Rise of AI Video Technology June 2024 marks a significant milestone for AI video technology, with tools like Sora, Kling, Dream Machine, and Runway’s Gen 3 AI video model gaining traction. These tools are transforming content creation, enabling more sophisticated and efficient video production processes. Open AI: OpenAI’s Latest Model GPT-4o & Preparing for GPT-5 [read more on the blog post] Alphabet’s AI Innovations & Issues with Google’s AI overview [read more on the blog post] AI PCs and New Chip Technologies [read more on the blog post] Global AI Safety Initiatives & Regulation [read more on the blog post] #artificialintelligence #ai #technology #innovation #alphabet #meta #google #openai #ibm #newsletter #microsoft #future #news

In a world teeming with AI advancements, one might wonder if Silicon Valley giants are racing to build our helpers or our overlords. Microsoft's latest move isn't just a step; it's a giant leap into this contentious debate. 🤯 ➡️ The tech behemoth Microsoft has recently made a bold play in the AI arena by hiring Mustafa Suleyman, co-founder of Google's DeepMind, to spearhead a new consumer AI division. ➡️ This strategic hire underlines Microsoft's intent to dominate the consumer AI market, merging its suite of products under the banner of Microsoft AI. With a hefty investment in OpenAI and the integration of its technology across Microsoft's product line, the company is not just keeping pace but setting the tempo in the AI symphony. ➡️ Suleyman's track record with DeepMind and Inflection, combined with his vision and experience, makes him an invaluable asset to Microsoft. Under his leadership, the new unit aims to integrate AI more seamlessly into everyday tech experiences, enhancing products like Windows, Bing, and Edge with AI-driven features. ➡️ However, this ambitious endeavor raises crucial questions: As AI permeates our daily tools, how will it transform user interaction, privacy, and even our autonomy? ❓ Microsoft's consolidation of AI expertise under Suleyman's guidance reflects a broader industry trend towards immersive, intelligent technology. However, will the integration of AI into consumer products unlock new levels of convenience and creativity, or will it usher in concerns over control, ethics, and the essence of human experience? Read the full story on Microsoft: https://lnkd.in/gpbWrNvD #AI #Leadership #Consumer #BigTech #Ethics ---- 💡 𝗜𝗳 𝘆𝗼𝘂 𝗲𝗻𝗷𝗼𝘆𝗲𝗱 𝘁𝗵𝗶𝘀 𝗰𝗼𝗻𝘁𝗲𝗻𝘁, 𝗯𝗲 𝘀𝘂𝗿𝗲 𝘁𝗼 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝗺𝘆 𝗻𝗲𝘄 𝗮𝗽𝗽 𝗳𝗼𝗿 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗯𝗲𝘆𝗼𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 - you can have real-time insights, recommendations (a lot more than I share here) and conversations with my digital twin via text, audio or video in 28 languages! Join >5000 users who went before and go to app.thedigitalspeaker.com to sign up and take our connection to the next level! 🚀

🚀Meta Unleashes Llama 3.1: A New Era in Open-Source AI Meta, the tech giant formerly known as Facebook, has just dropped a bombshell in the AI world. Meet Llama 3.1, the largest-ever open-source AI model, boasting a whopping 405 billion parameters. But what’s the fuss all about? Let’s dive in!🤓 🔍Llama 3.1 isn’t just flexing its parameter muscles; it’s also flexing its performance. Meta claims that Llama 3.1 outperforms both OpenAI’s GPT-4 and GPT-4o, as well as Anthropic’s Claude 3.5 Sonnet, across various benchmark tests. Not too shabby, right? 📊 🌐 Meta is on a mission to democratize AI. They’re making the Llama-based Meta AI assistant available in more countries and languages. Plus, they’ve added a nifty feature: image generation based on someone’s likeness. Say cheese! 📸 💰Now, you might wonder why Meta is giving away this AI powerhouse. Llama 3.1 was trained using over 16,000 of Nvidia’s ultraexpensive H100 GPUs (yes, you read that right). The cost? Likely hundreds of millions of dollars. But Meta believes in open-source magic. Just like Linux revolutionized operating systems, Llama 3.1 could be the catalyst for a shift toward open-source AI.🌟 🤝 Meta isn’t going it alone. They’re teaming up with heavyweights like Microsoft, Amazon, Google, Nvidia, and Databricks to help developers deploy their own Llama 3.1 versions. And guess what? It’s roughly half the cost of OpenAI’s GPT-4o to run in production. Cha-ching! 💸 🔍Meta’s keeping the data it used to train Llama 3.1 under wraps. Trade secrets, you know? But here’s a tidbit: synthetic data (generated by models, not humans) played a key role in fine-tuning this behemoth. Llama 3.1 is like the wise teacher guiding smaller models toward greatness. 🧠 🔮Will we hit a data shortage wall? Meta’s VP of generative AI thinks there’s still room to run. But predicting the future? Tricky business. 🤔 So, buckle up! Llama 3.1 is here, and it’s rewriting the AI playbook. 🎉 #AI #opensource #llama31 #MetalMagic Disclaimer: No llamas were harmed in the making of this model. 🦙😉

📰 AI FOR WOMEN - 90 SECOND NEWS 📰 Don't have the time to search for trending AI news? 📉 No problem! Here are some of the latest headlines in AI, summarized in 90 seconds. ⏱ 1. OpenAI Upgrades GPT-4o Mini with Multimodal Features 🔹 Summary: The new GPT-4o mini model now supports multimodal tasks like image generation and file uploads, offering faster, cost-effective access for developers while retaining core functionalities from the full version. 2. Mira Murati Leaves OpenAI 🔹 Summary: Mira Murati, OpenAI’s CTO, announced her departure after six and a half years, citing her desire for personal exploration. Her exit comes as OpenAI restructures into a more for-profit model, with a current monthly revenue of $300 million. 3. Meta Releases LLaMA 3 Multimodal Model 🔹 Summary: Meta introduced LLaMA 3, its latest multimodal AI model. This new version boasts enhanced capabilities in multilingual communication, advanced reasoning, and higher-quality code generation, positioning it as a competitive alternative to OpenAI's offerings. 4. Meta's AR Glasses Revolution 🔹 Summary: Meta announced a groundbreaking update to its AR glasses, aiming for mass adoption. This next-gen technology blends virtual elements with the physical world, pushing the limits of augmented reality and AI. 5. Microsoft Invests More Than $13 Billion in OpenAI 🔹 Summary: Microsoft has invested over $13 billion in OpenAI, solidifying its role as the startup's main investor and exclusive cloud provider. This partnership is evolving as OpenAI introduces competitive products, prompting Microsoft to classify it as a rival in AI and search technologies. 6. Apple Exits OpenAI Funding Talks 🔹 Summary: Reports indicate that Apple has withdrawn from discussions to participate in OpenAI's current funding round, which is expected to close soon. This development comes as OpenAI seeks substantial investments from other tech giants like Microsoft and Nvidia. 7. The Generative AI Market is Projected to Grow 🔹 Summary: The generative AI market is expected to grow significantly, driven by companies like OpenAI, and having companies like Microsoft and Google heavily investing in research and development. This AI market is projected to reach $407 billion by 2027. 💡 Feel free to share your thoughts and insights! #AINews #GenerativeAI #OpenAI #Meta #Microsoft #Apple #Google

Here is a unique prelude to a LinkedIn post in 4 sentences and 5 hashtags: As Meta continues to push the boundaries of AI innovation, Mark Zuckerberg reveals that training Llama 4 will require a significant increase in computing power, a staggering 10 times more than what was needed for Llama 3. This underscores the company's commitment to staying ahead of the curve in AI development. With each new iteration, the demand for computing resources grows exponentially, highlighting the importance of strategic planning and investment in infrastructure. Meta's dedication to building capacity for future AI advancements sets a precedent for the industry. #AI #ComputingPower #LlamaModel #Meta #InnovationInvestment https://lnkd.in/eFrBSHDV