Back in the UK and still feeling the effects of jet lag, but I wanted to share a few reflections on my time at NeurIPS2024 in Vancouver last week. This AI conference is massive with thousands of delegates, countless posters and talks, and features some of the most influential figures in AI. It’s both inspiring and a bit overwhelming to see so many brilliant minds gathered under one roof. A few takeaways: -- Abundance of Ideas: There’s no shortage of innovation in AI. Thousands of researchers are exploring new angles, methods, and approaches to tackle the field’s most pressing challenges. -- Scaling Still Matters: While there’s promising work on more efficient and compact models, the largest models still lead the pack in performance. In other words, GPU horsepower won’t be getting less important anytime soon. -- Architectural Evolution: We’re seeing clearer limitations of Transformer architectures and the rise of alternatives (Flow, Diffusion, State-Space Models) that offer improved generalisation and memory capabilities. -- Agentic AI on the Rise: The push towards more autonomous, decision-making AI agents is gaining momentum and looks set to accelerate into 2025. -- Data Quality Over Quantity: Performance gains aren’t always about more data. Better-aligned, higher-quality datasets can yield more cost-effective improvements than simply scaling up. As a research-driven organisation, it’s critical that we not only stay informed about the latest trends and techniques but also integrate these insights into our own work. By continuously evolving our methods and incorporating cutting-edge findings, we can enhance our product offerings, streamline our internal research processes, and ultimately deliver greater impact for our end-users.
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2024 marked a pivotal moment in the world of AI 🚀 🔵 The explosion of larger models like Llama 405B, the debut of transformative applications like Mochi 1, and the rise of effective reasoning techniques like Chain of Thought have pushed AI inference to unprecedented heights. 🔵 Compute demand has skyrocketed, with the industry waking up to the urgent need for more efficient compute to solve the AI power provisioning problem. 🔵 A very exciting shift: realtime-oriented applications are taking center stage. The future lies in massively parallelizing models to deliver ultra-low latency, seamless user experiences. For us as a company, 2024 wasn’t just about witnessing these changes. It was about positioning ourselves to help lead them. Swipe through the slideshow to see some of the key moments from our year. Here’s to 2025.
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🤖 𝐒𝐭𝐨𝐩 𝐥𝐞𝐭𝐭𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐟𝐮𝐦𝐛𝐥𝐞 𝐰𝐢𝐭𝐡 𝐭𝐨𝐨𝐥𝐬. Transform how your AI systems handle complex tasks with ToolGen - the framework managing 47,000+ tools effortlessly. While most AI agents struggle with tool selection and execution, ToolGen is revolutionizing the game. Here's what makes it groundbreaking: 1️⃣ Tool Virtualization Challenges 2️⃣ Limited Tool Understanding 3️⃣ Inefficient Selection Process 4️⃣ Complex Multi-Tool Tasks 5️⃣ Hallucination Risks 6️⃣ Performance Bottlenecks 7️⃣ Scalability Issues Ready to dive deep into how ToolGen is transforming AI tool interactions? From its innovative four-stage process to real-world applications in tech, healthcare, and finance - Sandra & I break it all down in our latest edition of The Vision Debugged - AI Newsletter. 👇 https://lnkd.in/g9iW2MRW ♻️ Share this insight with your tech-forward network 📌 Subscribe to "The Vision, Debugged" newsletter for weekly deep dives into groundbreaking AI developments.
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AIM AI Meeting Very excited to get to be a part of this amazing group and event. Thu Aug 1, 2024 Title: Harnessing Generative Al for Business Description: Gain an up-to-date understanding of Generative AI (GenAI) — what it is, how we got here, what it can do today, and where we are headed. This presentation will advise business professionals on the considerations and steps to incorporate GenAI into their operations to create strategic advantages and stay ahead of the curve. Regardless of industry, company size, and maturity, you will gain important perspectives for today, and the future. About Our Speaker: As CEO and co-founder of SavantX, Ed Heinbockel pioneers a radical vision of AI and Quantum Computing solutions. Under his leadership, the SavantX team has achieved remarkable success, deploying two groundbreaking quantum hybrid applications with real-world impact across intermodal transportation and air cargo network optimization. Looking ahead, Heinbockel is spearheading the launch of the company’s third quantum hybrid application, but this time, it is for its recently released flagship GenAI, SEEKER, a military-grade LLM platform for private data. This marks a significant milestone in the company’s journey to Quantum AGI. A veteran innovator, Ed has co-authored several pivotal patents for SEEKER’s Retrieval Augmented Generation (RAG) technology and boasts a track record of multiple successful tech exits. About Our Sponsor: At 7 Oaks we are transforming software needs into operational excellence. By taking the time to not only get to know your needs, but your company and industry. It isn’t good enough to just be able to write elegant code, we want to be able to understand what we are building and why. This allows us to offer advice along the way to ensure that you get the maximum benefit from your IT resources. Our goal is to be your partner of choice for the technology projects that will make a difference in the lives of your customers, employees and organization.
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🤖 The AI world is buzzing with excitement over a major breakthrough: DeepSeek R1. This next-gen model is tackling some of the biggest challenges facing AI today. Addressing hallucinations and the limitations of specialized knowledge, DeepSeek R1 offers: - Unparalleled factual accuracy by integrating external data in real time. - Dynamic, agile updates to knowledge without requiring retraining. With its cutting-edge architecture, including a dense vector index and advanced attention mechanisms, this model could mark the start of a paradigm shift in generative AI. If you’re looking to future-proof your business innovations, this is something worth watching. Want to explore how AI can transform your business? Halosphere Company is here to help you harness the power of next-gen AI technologies. Reach out to us today! #AIInnovation #MachineLearning #TechForward #DeepSeekAI #ArtificialIntelligence #BusinessTransformation #FutureTech #AIAdoption #NextGenAI #Halosphere
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DeepSeek-V3: Redefining AI Efficiency and Performance DeepSeek has taken a major leap in AI innovation with the release of DeepSeek-V3, a groundbreaking 671B parameter Mixture-of-Experts (MoE) model. Here are 5 key technical highlights that make it a game-changer: 1️⃣ Efficient Scaling with MoE: With only 37B parameters activated per token, DeepSeek-V3 delivers exceptional performance while keeping inference and training costs significantly low. 2️⃣ Cutting-Edge Architecture: Leveraging Multi-Head Latent Attention (MLA) and an auxiliary-loss-free load-balancing strategy, the model excels in training stability and prediction accuracy. It also adopts a novel multi-token prediction objective, setting new standards in efficiency. 3️⃣ Quantization for Efficiency: DeepSeek-V3 uses fine-grained quantization techniques to optimize computation efficiency. By combining low-precision accumulation (e.g., Tensor Cores) and scaling factors, it maximizes computational throughput without compromising precision. (Refer to the attached diagram for details.) 4️⃣ Training at Scale, Cost-Effectively: Trained on 14.8T high-quality tokens, the model required just 2.788M H800 GPU hours, costing ~$5.6M—dramatically lower than peers in its class, while maintaining top-tier quality. 5️⃣ Open-Source Accessibility: True to DeepSeek’s mission of transparency, model checkpoints are openly available, empowering researchers and developers worldwide to push the boundaries of what’s possible. DeepSeek-V3 stands as a remarkable testament to what can be achieved even amidst resource constraints. With its open-source accessibility, the model paves the way for widespread adoption, enabling providers like Bedrock and Azure to integrate it into their offerings. Looking forward to seeing how it powers cutting-edge solutions and serves diverse use cases across industries. 🚀 #deepseek #ai
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We are doubling down on our focus for Physical AI applications including CA-1 with our 2025 Strategy Update. At Circus Group this year we plan to further advance our AI-software platform, scaling the mass production of the CA-1, and expanding the transformative potential of embodied systems with the introduction of next-generation Agentic AI interfaces. Doubling down on our focus on Physical AI. At CES, NVIDIA’s keynote highlighted a bold future with Physical AI, where intelligence doesn’t just compute, but acts and transforms the physical world. At Circus Group, we’re already delivering on this vision since 2021. Our technology is addressing labor shortages, driving sustainability, and empowering humanity through intelligent, adaptable automation systems starting from food-service. This year, we’re not just enhancing technology, we’re redefining how AI systems can actively shape the real world starting from food-service, our mission is clear: To create a future where technology enables efficiency, sustainability, and empowerment for seamless human-AI collaboration. Read more in our 2025 Outlook Blogpost: link in the comments.
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2025 is here: Physical AI on the menu
We are doubling down on our focus for Physical AI applications including CA-1 with our 2025 Strategy Update. At Circus Group this year we plan to further advance our AI-software platform, scaling the mass production of the CA-1, and expanding the transformative potential of embodied systems with the introduction of next-generation Agentic AI interfaces. Doubling down on our focus on Physical AI. At CES, NVIDIA’s keynote highlighted a bold future with Physical AI, where intelligence doesn’t just compute, but acts and transforms the physical world. At Circus Group, we’re already delivering on this vision since 2021. Our technology is addressing labor shortages, driving sustainability, and empowering humanity through intelligent, adaptable automation systems starting from food-service. This year, we’re not just enhancing technology, we’re redefining how AI systems can actively shape the real world starting from food-service, our mission is clear: To create a future where technology enables efficiency, sustainability, and empowerment for seamless human-AI collaboration. Read more in our 2025 Outlook Blogpost: link in the comments.
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🎄 Wrapping up our holiday series! Our "24 Visualizations in 24 Days" journey concluded on December 24th with a special treat: The AI Elo Tree! A festive ranking of 2024's most competitive open source AI models, arranged as a holiday tree: 🏆 Top 3 Leaders: 1️⃣ Nexusflow - Athene-v2-chat-72B 2️⃣ NVIDIA - Llama-3.1-meotron-70B-instruct 3️⃣ DeepSeek AI - DeepSeek-v2.5 The rise of newer players like Nexusflow alongside industry giants shows just how dynamic and competitive the open source AI landscape has become. 📲aiworld_eu to stay ahead of the curve and catch all the breakthrough AI developments coming in 2025. See the viz here: https://lnkd.in/da6-7tMa
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A great read for those who are trying to understand on a profound level how we’ll be affected by the incoming wave of AI, Robotics and Biotech. We’ve changed gears and are moving from data democratisation of the last few years, to increasingly democratising knowledge, adding the ability for normal citizens to put recommendation provided by AI into actions using AI. Yes there are still significant problems with inaccuracies in the AI feedback, hallucinations, challenges with bias, challenges in understanding the built models, creating sufficiently large and “correct” data sets to train a 2-trillion parameter LLM etc. but the forward trend is definitely there. The book takes a sweep at past historical waves and shows how big the impact of the next wave is likely to be. Personally, I believe we still have a way to go to get to AGI (Artificial General Intelligence) but the impact of even a "value-adding" copilot in our business software can be significant on almost every level. The author leaves us with some worrying thoughts on the challenge of containment. Each past technology wave has had a growing potential of causing increasingly more harm than the previous one, assuming it falls into the wrong hands. With containtment on AI, Robotics and Biotech, it is clear that the coming wave will need massive collaboration across people, companies and countries to be "contained" correctly but as we know, even aligning one country is hard work.
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