AWS AI’s Post

Organizations are increasingly harnessing their own intellectual property (IP) and data to build customized AI engines using foundational AI platforms from AWS and partners like NVIDIA. In enterprise settings, specialized and proprietary data is the bedrock of competitive advantage. These "company secrets"—ranging from data on people, processes, formulas, and business practices—are immensely valuable when combined with AI's automation and analytics capabilities. To maximize AI's value while safeguarding sensitive data, enterprises are developing smaller, customized AI models. These models leverage local proprietary data sets and on-site computing resources, ensuring data privacy and security. Additionally, algorithm training can be enhanced with synthetically generated data, providing robust and versatile AI solutions. This article by NVIDIA research scientist Bryan Catanzaro and published in from Harvard Business Review explores this in more details: https://lnkd.in/eNkiD3Fs. By integrating their unique data with advanced AI tools, businesses can unlock new levels of innovation and efficiency, maintaining their competitive edge in an ever-evolving market #EnterpriseAI #Innovation #AWS #NVIDIA #AI #TechInnovation

As part of the EDGE program, funded by the German Federal Ministry for Economic Affairs and Climate Action, Apheris contributes to the OpenFlaaS project. Our Compute Gateway enables secure, private ML and analytics on distributed data, focusing on NLP use cases for the automated analysis of industrial documents. This effort aims to digitalize corporate knowledge efficiently without constant data scientist oversight, potentially transforming the manufacturing sector's approach to continual learning on edge devices. Learn more about our work with OpenFlaaS and the impact on #Sustainability, #EdgeComputing, #DataPrivacy, and #MachineLearning: https://hubs.li/Q02kD-Nv0

2024 is fast approaching, and 2023 has been a year marked by innovations so groundbreaking that to call them merely disruptive would be an understatement. Here are some fascinating articles from the industry giants to either revisit or discover together how we've come this far! ✅ "2023: A Year of Groundbreaking Advances in AI and Computing," by Jeff Dean, Chief Scientist at #Google #DeepMind & Google Research, Demis Hassabis, CEO of Google DeepMind, and James Manyika, SVP at Google Research, Technology & Society. URL: https://lnkd.in/daSqPhQu ✅ "#IBM Debuts Next-Generation #Quantum Processor & IBM Quantum System Two, Extends Roadmap to Advance Era of Quantum Utility". They already worked on AI (see the chart). URL: https://lnkd.in/d7TQUPnJ ✅ "Continuing to Advance State of the Art Model and Tooling Support in #Azure AI Studio". Lot of stuff inside, don't care of the title! URL: https://lnkd.in/dsq_EjER ✅ I have been very impressed also by #Midjourney v6, a significant advancement over the previous generation in many aspects, especially in prompt engineering. URL: https://lnkd.in/ewzkHAHp ✅ As #SML, I am currently focused on #Phi2 (Phil-2: https://lnkd.in/dVcsNQib) and #Orca2 (https://lnkd.in/eaqwCmvn) but I feel in the future the approach will be what already spotted out by #MistralAI, Mixtral of experts: #Mixtral8x7B  (https://lnkd.in/exv2aAc3). ✅ The #BillGates's letter The road ahead reaches a turning point in 2024. URL: https://lnkd.in/dqCZBFMx ⭕ I posted some other interesting topics a few days ago related to #Governance and #ResponsibleAI: take a look at them. ⭕ I believe 2024 will be even crazier than 2023!!! 😎 #GenerativeAI #OpenAI #Predictions #GenAI #FrontierTechs #AI #ArtificialIntelligence #ML #NextGen #Innovation

2024 is the year of Deep Tech at SeerBI 🚀 Over the last year we have built our capabilities in multiple sectors and collaborated with some amazing organisations such as Digital Catapult, NVIDIA and Innovate UK to provide our clients with the most robust and cutting-edge solutions available. In 2024 we look to further improve and develop these capabilities in what we are calling "The Year of Deep Tech". Taking technology beyond what we have seen before to develop solutions that bring out-weighted ROI. While we can't tell you about everything we are doing just yet, this year starts with the release of our AI-powered customs Automation product Flytta, working with our clients on numerous data science, AI and space-based solutions and further developing our Quantum Computing capabilities with the Digital Catapult QTAP programme. To learn more about the Year of Deep Tech read more here: https://lnkd.in/eqymu-Tx #AI #quantumcomputing #Deeptech #DeepTechnology #Technologu #UK

Open ML is going at another pace. In just 5 days 🧱 Databricks releases DBRX 🦾 Mistral AI releases 7B v2 🐍 Qwen1.5 MoE-A2.7B 🚀 Jamba, a MoE SSM LLM 🤏 Wild 1-bit and 2-bit quantization with HQQ+ 3 big pre-trained MoEs, a new Mistral base, and crazy updates for on-device. Research OpenSource Inc. 👉 For Collaboration and Implementation of such projects, feel free to DM us We would love to hear your thoughts! Stay in the loop with the updates by following Antar AI. #computervision #opensource #quantization #ai #openML #aicommunity

HPC News Bytes 20240812: UK Cuts Exascale, Big Round for AI Inference, Llama 3.1 and Open AI, SC24 the Biggest Ever? The UK government cuts more than £1 billion in funding for an exascale-class system in Edinburgh and AI projects. Groq scores major investment round for its AI inference technology. Meta’s Llama 3.1 model: the debate over open potential dangers of source AI. Will SC24 be the largest supercomputing event ever? Source: insideHPC, 12.08.2024 https://lnkd.in/ehD_mj6M

Very interesting course on Generative AI from AWS and Deeplearning.AI. If interested in diving deeper into the fundamentals of GenerativeAI, go for it !! Topics: transformers architecture, LLM fine tuning (PEFT, LoRA, Soft Prompts), RLHF (Reinforcement Learning from Human Feedback), PPO (Proximal Policy Optimization), Constitutional AI, LLM powered applications. #GenerativeAI, #Transformers, #LLM #PEFT #LoRA #RLHF #PPO

🔬 The National Science Foundation (NSF) has initiated the National Artificial Intelligence Research Resource (NAIRR) pilot, receiving support from federal agencies and industry partners. 🌐 The objective of this initiative is to bolster AI research in the United States by leveraging resources from academia, government, and industry. 🤝 Contributors from various sectors, including Microsoft, Amazon Web Services, and IBM, are involved in this pilot project. ⚙️ The NAIRR pilot lays a strong foundation for future collaborations in AI research, promoting innovation and progress in the field. 📖 For more details on this multi-sector endeavor, explore the comprehensive FedScoop article. #AIResearch #Collaboration [Link to article]

Red Hat Summit/Ansible Fest kicked off with an opening keynote from Red Hat's CEO Matt Hicks called The cloud is Hybrid. So is AI. This year, the focus is squarely on the intersection of #opensource and #AI. The advancements are extraordinary. What used to require sophisticated hardware can now run on a simple laptop. That's the power of innovation driven by #opensource and academia working hand in hand. We're witnessing a revolution where #AI capabilities are expanding rapidly, thanks to the democratization of technology. Red Hat is at the forefront of this movement, making AI training accessible to everyone, not just data scientists. Today we announced #InstructLab, a game-changer in simplifying #AItraining. IBM Research and Red Hat are teaming up to open source the Granite family of language and code models, paving the way for collaboration and innovation on an unprecedented scale. You can steam the Summit keynotes live. Join us as we kick off at 10:30 a.m. https://lnkd.in/ggJmZtez #RedHatSummit #OpenSourceAI #RHSummit Fred Patterson Angie Mohr, MBA Krishna Kavoori Roch Cousineau Rick Santing

At the core of the AI conundrum, is how we manage the speed of the advancements around us. Go too fast, society won’t have time to adjust to the new scenario and it can be really complicated. Go slower than others, and not only big companies can lose its power, but the entire geopolitical map may be redesigned (and the consequences of going too fast may come anyway). Fact is the chain reaction has started and there’s not much we can do to stop it. We can only manage it to lead it to the best positive consequences, and the least damaging ones too. This article by Google’s former CEO Eric Schmidt at MIT Tech Review brings an important side of discussion as it advocates for an Apollo program for AI. I won’t advocate for maintaining or disrupting the power of any particular nation here — this isn’t my role — but the point of view is still very important even if you disagree with his ultimate goal. https://lnkd.in/ePQujFTQ