Paul Abraham’s Post

🚀 Exciting News in the Tech World! 🚀 Meta CEO Mark Zuckerberg has called on the tech industry to embrace open-source AI. In a recent Instagram post, Zuckerberg emphasized the benefits of open-source AI models over closed ones developed by companies like OpenAI and Google. He believes that open models will be more secure and efficient, thanks to global collaboration among developers and researchers. In his blog post, Zuckerberg wrote, "Open source will ensure that more people around the world have access to the benefits and opportunities of AI, that power isn’t concentrated in the hands of a small number of companies, and that the technology can be deployed more evenly and safely across society." As part of this push, Meta is rolling out its latest Llama AI model, Llama 3.1, which Zuckerberg claims is one of the most advanced in the industry. This move positions Meta against AI giants like OpenAI and Google, who primarily offer closed-source models. Zuckerberg also addressed concerns about open-source models potentially aiding adversaries, arguing that closed models are not immune to being compromised. He advocates for collaboration with the government to leverage open-source AI for a competitive edge. With this bold stance, Meta continues to champion open-source technology, echoing its past successes with open-source programming languages like React. The future of AI might see a blend of open and closed models, just as we've seen in other software domains. What are your thoughts on this development? Let's discuss! 💬 #AI #OpenSource #Meta #Zuckerberg #TechNews #Innovation #LlamaAI

A little late to the party, but still excited to share our progress nonetheless!!🎉🎉 It’s been such a whirlwind experience getting to be a part of this milestone in Meta AI’s continued success. I’ve been learning so much, thanks to my team, regarding Gen AI systems and the tools needed to further advancement in the field as a whole. Some days are more challenging than others, and it can be hard to see your goal at times, but once you finally achieve it you know every part of the process is worth it. Open source has always been a fun and challenging paradigm as I’ve used it immensely in forensics and neuroscience research; it will continue to be a tool that many should invest in. Meta's commitment to open-source AI is a great measurement of how much it is willing to build upon itself to improve for years to come! For more details on Meta's commitment to open-source AI, check out this article: [Open Source AI is the Path Forward](https://lnkd.in/gNQMRBuh)

📢 Tried Meta's Llama-3.1 405B model on Hindi culture-specific conversation and the results were exceptionally good and outshined the competition! 🚀 Following are my takeaways from the open-source announcement of Llama-3.1, a tough competitor to ChatGPT-4 and Claude-3. •Accelerating AI Innovation: Open-sourcing LLaMA-3.1 enables rapid advancements by leveraging global expertise. 🌍🔍 •Community Collaboration: Just like Linux revolutionized tech, LLaMA-3.1 invites global collaboration, driving AI to new heights. 🤝🔧 •Lower Barriers: Democratizing AI research by reducing costs and complexities. Perfect for startups and individual developers! 💡🔓 •Industry Standard: Potential to become the backbone of various AI applications, similar to how Linux is foundational for Android. 📱🛠️ •Attracting Talent: Open-source leaders attract top talent. Be part of the revolution and contribute to LLaMA-3.1! 🌟👩💻👨💻 •Linux Legacy: Remember how Linux powered Android's success? LLaMA-3.1 could be the next big thing in AI! 📈📱Like Linux, Llama-3.1 will be the backbone of many advanced AI development in near future. By embracing the open-source model, Meta is poised to lead a new era of AI development, much like how Linux transformed the tech landscape. Demo 405B model : https://www.meta.ai/ Llama-3.1 paper : https://lnkd.in/dt7wvBkb #OpenSource #AI #Innovation #LLaMA3.1 #Meta #Linux #TechCommunity #AIResearch #TechInnovation #LinkedIn

Exciting developments are happening in the #GenAI world! Meta announced Llama 3.1, and you can already use it locally with Ollama. Details here: https://lnkd.in/d5pjpTi5 Mark Zuckerberg reaffirmed Meta’s dedication to open-source LLM research, comparing it to the pivotal role of open-source Linux compared to proprietary OSs. His message is: Open-source LLMs are the future! Read more here: https://lnkd.in/dxwy4wsq

Very interesting development on the #LLM arms race. 🎢 With Mark Zuckerbergs last blog post, #Meta seems to be going all-in on the notion of them having a scale advantage in training models over a model advantage itself: https://lnkd.in/dcwsruHz With this, Meta has put the bar for language models higher (both in performance and community support) and I wonder when we see the wind shift from #OpenAI's black box model approach financed via API subscriptions to firms competing on most cost-optimally hosting #Meta's models and sharing profits with them. 🎁 Or in other words: if you are now running a company whose only goal is to host Meta's (and other) models (with no training or model development whatsoever), you now have a business model that can potentially outperform ChatGPT. 💪 Ironically, OpenAI's announcement of collaboration with #Apple to me suggests that Apple has understood this too and is instead focusing on hardware serving fine-tuned models locally on phones: https://lnkd.in/djcs6Dhk. For now, Meta has put some of the power back in the hands of the community, but I am excited to see where other actors in the space are going next. #Mistral, #Alibaba, #Google and many others are still working on their own models and I can only imagine all of their LLM groups to be losing hair and sleep over the fact that now models pretty much converge to one and the same transformer architecture with competition moving from model architecture and data collection to model hosting. 🍿🍿🍿 Exciting times (that also make me happy that I never went into working with #LLMs, because the rate of new developments there is rather... exhausting💤).

𝐌𝐚𝐫𝐤 𝐙𝐮𝐜𝐤𝐞𝐫𝐛𝐞𝐫𝐠 just announced Meta’s biggest and latest open source AI model ― 𝐋𝐥𝐚𝐦𝐚 𝟑.𝟏 𝟒𝟎𝟓𝐁 In a recent Facebook post, he argues that AI development should follow the open-source model, just like Linux for operating systems. He outlines several reasons why open source AI is beneficial: ➤ Developers will be able to train and modify AI models to fit their specific needs, and they won't be locked into a single vendor. Open source AI is also generally more secure and affordable. ➤Meta won't be restricted by closed ecosystems controlled by competitors, and they believe open source will foster a larger and more innovative AI community. ➤Open source AI will ensure that more people have access to the benefits of AI and that the technology is developed and deployed safely. Zuckerberg acknowledges concerns about the safety of open source AI models but argues that open source models will be more secure in the long run because they are more transparent. He also believes that open source AI will ultimately be safer because it will be more widely deployed, allowing good actors to check the power of bad actors. What do you think? Should AI development be open-source? Let me know your thoughts 👇 P.S. You can access the models now at llama.meta.com #meta #developers

BREAKING! Meta just dropped a bomb in the Al World Llama-3 is the latest LLM Powerhouse, and the best part is that it's Open-Source! Key Features about the release: • Pre-trained and instruction-tuned 8B and 70B parameter models • Excels at language nuance, context understanding, and complex multi-step tasks • Scalable from consumer hardware to large-scale deployments t • Strong reasoning, code generation, and instruction-following capabilities But what makes Llama-3 so special? Unmatched Open-Source Performance: The 70B model showcases exceptional abilities in complex reasoning and code generation, leaving other open-source models in the dust. • Cutting-Edge Architecture: With a new tokenizer reducing token count by up to 15% and Grouped Query Attention across all models, Llama-3 offers unbeatable efficiency and speed. Benchmark Mastery: Extensive human evaluations prove Llama-3 provides the perfect blend of power and precision across diverse Al use cases. • Unparalleled Availability: Coming soon to major clouds like AWS, GCP, and Azure, and optimized for leading hardware, Llama-3 ensures peak performance no matter your setup. Follow TechGear to learn about the latest breakthroughs in Al and tech #LLM #Assistant #Facebook #Llama #AiAssistant

Mark Zuckerberg's recent letter about open-source AI is causing a stir. Here's why it matters: Why Open Source? Zuckerberg thinks making AI available to everyone could help Meta get ahead in the AI race. This is a bold move, especially since Meta is behind other companies in AI right now. By sharing their AI with everyone, Meta doesn't have much to lose. In fact, they might gain a lot. When people all over the world work on LLaMA (Meta's AI), new ideas are likely to come up. Zuckerberg is fighting hard this time, which could be good for all of us. While LLaMA might not be better than ChatGPT or Claude in every way, it's still pretty good. Plus, it costs less to run. A New AI World Meta wants to create a world where everyone has their own AI on their phone, matched to their own likes and needs. Apple is doing something like this too, but they're keeping it private. Meta is sharing their work openly. This is also Zuckerberg's way of trying to catch up after Meta fell behind in the smartphone world. It's similar to what Elon Musk is doing with his AI called Grok. Watching History Happen It's exciting to see all this happening right now. In the future, people will probably look back at this time as a big moment in tech history. These are really interesting times, and it's cool to be here to see it all unfold. Note, an interesting fact you might already know, Amazon recently bought a nuclear-powered data center just for ai. This should tell you how power-hungry their operation can be, and why cost-effectiveness matters. If you want to read Zuckerberg’s article, you can find it here  https://lnkd.in/efA-7sxD #OpenSourceAI #AIInnovation #TechFuture #DigitalTransformation

"Open Source #AI is the Path Forward"💡 Well, if it was a "black or white" decision, which is almost never the case in life nor in #business - especially not in B2B, I'd probably set on that card, too ♥ Though, as there are many shades of gray between black and white, i.e., between open- & closed-source, especially for companies, I'd suppose that the truth could be somewhere in between ⚖ And yet, Meta's Llama 3.1 appears a huge milestone that deserves admiration 🙌 https://lnkd.in/dt-nawQC #Meta #ArtificialIntelligence #MachineLearning #OpenSource #GenAI #Company

🤔 Why Does Mark Zuckerberg Think Closed AI Models Are Holding Us Back? Mark Zuckerberg and Meta are challenging the status quo with the launch of Llama 3.1. 🌟 Open source software is the backbone of today's tech industry. Linux revolutionized computing, and now, Meta's Llama 3.1 is set to do the same for AI. But why is this such a game-changer? Here are 3 key insights you need to know: 1️⃣ Unmatched Flexibility Every organization has unique needs. Llama 3.1 allows you to train, fine-tune, and distill your models with your specific data, ensuring optimal performance for your requirements. 2️⃣ Cost Efficiency Running Llama 3.1 405B on your infrastructure is roughly 50% cheaper than using closed models like GPT-4o. This means more innovation, less cost. 3️⃣ Enhanced Security Open source software tends to be more secure due to its transparency. With Llama 3.1, you can safeguard your data and control your AI destiny without relying on closed, proprietary systems. 🔍 But here’s the real question: Will open source AI truly outpace closed models in driving innovation, or is Meta just setting us up for a new kind of dependency? Drop your thoughts below! ⬇ #FluidAI #Llama #llm #OpenSourceAi #LLM #Meta