cBrain’s Post

We are excited to announce a partnership with Aleph Alpha To boost the adoption and potential of generative AI across Europe's industrial landscape, we announce a long-term strategic partnership with Aleph Alpha, another leading European AI firm. This collaboration aims to provide scalable, sovereign, and transparent AI solutions tailored for European companies and government organizations. Through this partnership, customers will gain access to Aleph Alpha’s enterprise-grade AI tech stack, while drawing on Silo AI’s open source large language models for European languages and the 300+ strong AI team with experience in delivering and deploying AI. Both companies are already working with large European enterprises – Aleph Alpha’s existing clients include Bosch, SAP and Schwarz Gruppe, while Silo AI’s include for instance Allianz, Philips, Rolls-Royce and Unilever. During the coming months, the companies will extend the joint offering exclusively to existing clients. “We are united in our mission to empower European organizations with sovereign, generative AI technology and enable them to sustainably seize the opportunities that lie ahead and pave the way for new growth. The partnership between Aleph Alpha and Silo AI provides customers with a one-stop-solution designed to deliver all the resources and capabilities needed to create value from day one,” says Jonas Andrulis, co-founder and CEO of Aleph Alpha. "We are delighted to partner with a company that shares our commitment to sovereign AI. Aleph Alpha’s deep research and technology expertise, combined with our end-to-end capabilities and open-source models, make for a compelling offering." - Peter Sarlin, co-founder & CEO of Silo AI. See our blog for more, link in the comments.

We are excited to announce a partnership with Aleph Alpha To boost the adoption and potential of generative AI across Europe's industrial landscape, we announce a long-term strategic partnership with Aleph Alpha, another leading European AI firm. This collaboration aims to provide scalable, sovereign, and transparent AI solutions tailored for European companies and government organizations. Through this partnership, customers will gain access to Aleph Alpha’s enterprise-grade AI tech stack, while drawing on Silo AI’s open source large language models for European languages and the 300+ strong AI team with experience in delivering and deploying AI. Both companies are already working with large European enterprises – Aleph Alpha’s existing clients include Bosch, SAP and Schwarz Gruppe, while Silo AI’s include for instance Allianz, Philips, Rolls-Royce and Unilever. During the coming months, the companies will extend the joint offering exclusively to existing clients. “We are united in our mission to empower European organizations with sovereign, generative AI technology and enable them to sustainably seize the opportunities that lie ahead and pave the way for new growth. The partnership between Aleph Alpha and Silo AI provides customers with a one-stop-solution designed to deliver all the resources and capabilities needed to create value from day one,” says Jonas Andrulis, co-founder and CEO of Aleph Alpha. "We are delighted to partner with a company that shares our commitment to sovereign AI. Aleph Alpha’s deep research and technology expertise, combined with our end-to-end capabilities and open-source models, make for a compelling offering." - Peter Sarlin, co-founder & CEO of Silo AI. See our blog for more, link in the comments.

I had the chance to discuss with this wonderful group of people about the benefits of #OSS #GenAI and how such benefits outweigh any of the (often exacerbated) risks. See Francisco Girbal Eiras post below for the full details. Shorter version to be presented at #ICML2024. Luxembourg Institute of Science and Technology (LIST) SnT, Interdisciplinary Centre for Security, Reliability and Trust #LISTDigital

Is it wise to allow increasingly capable generative AI models to be open-sourced? We believe that, with certain caveats, humanity stands to benefit greatly from broad access to powerful open-source AI models. Concentrating these technologies in the hands of a few well-resourced players presents significant risks. It can lead to missed opportunities for individuals and organizations worldwide who are best positioned to develop tailored systems using their own experience and knowledge for their unique needs. After all, if we want to ensure that artificial intelligence benefits all of humanity, we need to enable all of humanity to utilize its utmost potential.

// Generative AI Open-Washing to Evade Responsibility // "Our survey has offered a first glimpse at the detrimental effects of open-washing by companies looking to evade scientific, regulatory and legal scrutiny. And our framework hopefully offers the tools to counter it and to contribute to a healthy and transparent technology ecosystem in which the makers of models and systems can be held accountable, and users can make informed decisions." See also, my reaction to Open-Washing in the US where I made the analogy to getting a city's fire departments together to debate the color of fire while the city is burning. Link in the comments.

Bridging the Gap: AI Alignment and the Future of LLMs 🤖🌐 Recently I was doing the study on AI alignment lot of literature is out there but I found this amazing lecture at Princeton University by Professor Devon Wood-Thomas. I found this very interesting so sharing some of insight of it. We have always the question in mind how is the AI systems truly understand and align with our values and intentions? It's a hot topic in the AI community right now, and it’s all about AI alignment and How work with LLMs! 🌟 After doing the research I thought let me share this learning with you so let's explore...!!! 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗔𝗜 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁? AI alignment is the science (and art) of making sure AI systems, especially Large Language Models (LLMs), act in ways that are consistent with human values. Sounds simple? It’s far from it! The real challenge is defining what we really want from AI and ensuring it understands that perfectly. 🧠 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝗔𝗜 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁 𝟭. 𝗛𝘂𝗺𝗮𝗻 𝗗𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻: Can we accurately demonstrate the desired behavior to AI? What if the tasks are too complex? 🕵️♂️ 𝟮. 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗹𝗶𝗴𝗻𝗺𝗲𝗻𝘁: As AI grows smarter, how do we ensure it stays aligned without constant human supervision? 🤔 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝘄𝗶𝘁𝗵 𝗟𝗟𝗠𝘀 Exciting breakthroughs are happening! Models like InstructGPT and Codex are pioneering how we align AI with our values using techniques like reinforcement learning from human feedback (RLHF). They’re getting better at understanding and following our instructions. 📈✨ 𝗧𝗵𝗲 𝗥𝗼𝗮𝗱 𝗔𝗵𝗲𝗮𝗱 The future is bright with continuous research and innovation. Imagine a world where anyone can teach AI systems effectively, ensuring they operate safely and ethically. That's the dream we're working towards. 🌍🚀 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀 𝗳𝗼𝗿 𝗔𝗜 𝗘𝗻𝘁𝗵𝘂𝘀𝗶𝗮𝘀𝘁𝘀 𝟭. 𝗛𝘂𝗺𝗮𝗻-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗗𝗲𝘀𝗶𝗴𝗻:Keep interacting with AI systems to teach them our values. 𝟮. 𝗜𝘁𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: Regularly test and refine AI with real-world data. 𝟯. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗔𝗜: Prioritize ethical considerations from the get-go. Lecture Notes: https://lnkd.in/gYTZJmSs 𝗡𝗼𝘁𝗲:  If you are looking latest paper with code of LLMs of Today Check out the comment !!!! Let's shape a future where AI not only excels but also aligns perfectly with our values. What are your thoughts on AI alignment? Drop your insights below! 💬👇 🤝 Join the Conversation: Engage with me by sharing your experiences or thoughts on AI alignment. Together, we can drive the conversation forward and make a positive impact! 🌐🗣️ #LLMs #Artificialintelligence #SuperAlignment

Some thoughts on #AI alignment and #LLMs.

Tendü Yogurtçu, PhD, Chief Technology Officer at Precisely, shares her views and tips about how to create unbiased Gen AI, its starts with Data Integrity

Exposed: How 'Open-Washing' is Undermining Trust in Generative AI Under the EU AI Act In 2024, the generative AI landscape is undergoing significant scrutiny due to the phenomenon known as "open-washing." This term refers to the practice where companies claim their AI models are open source to gain the associated benefits of transparency and innovation, without truly adhering to the core principles of the open-source movement. This practice has gained momentum as major corporations, such as Meta, release their AI models, like Llama 2 and Llama 3, under the guise of being open source. The EU AI Act, which aims to regulate AI comprehensively and foster open-source innovation, has inadvertently created incentives for this behavior by offering regulatory exemptions to models labeled as open source. [The paper by Andreas Liesenfeld and Mark Dingemanse](https://lnkd.in/ephwKthT), presented at the FAccT '24 conference in Rio de Janeiro, Brazil, delves into the intricacies of this issue. They highlight how the EU AI Act's current provisions allow models released under open licenses to bypass detailed disclosure of training data and fine-tuning methods. This legislative loophole has been exploited by companies to market their AI products as open source while withholding critical information, thereby avoiding scientific scrutiny and regulatory oversight . # Thank you Adele Lefebvre for your submission!

👏 Mistral AI has released their open-source LLM Mixtral 8x7B, which is outperforming LLaMa 2 70B and competing with the existing GPT 3.5 model. 🙈👌 💻 Want to learn more about the benchmarking, deployment, and what's next for LLM Mixtral 8x7B? 👉🏻👉🏻 Check out this insightful article written by our colleagues at Konstantin Lazarov, Joran Vergauwen & Floriant Sturm 👨🚀 Keen to stay ahead of the game and discover how this innovation can benefit you and your business: let us know and we are happy to help 🙏