Alyan Qazalbash’s Post

There was a time when tech giants used to innovate rapidly in three different segments like platforms, models and technologies to win the trust of AI consumers/researchers. Like Google Cloud has developed Vertex AI, AutoML etc in platforms, BERT, LamDA, PaLM, Gemini, Gemma in Models, Scikit-Learn, Transformer, Tensorflow 2.0 etc in Technologies. I reckon we are at a shift now, where there is more and more emphasis on collaborations, partnerships etc possibly propelled by the demand for rapidness in innovation, rather than investing entire energy into innovating across the entire spectrum. These collaborations are shaping up between Tech giants like Microsoft, Google, IBM, Meta + Startups who are rapidly innovating + Academia, universities where research is happening at a faster pace too. Tech giants bring infra + data, startups come up with innovative ideas and academia comes with path breaking research. A combination that fosters rapid progress in a decentralised manner. Please share your thoughts in the comments.

The July 25th Open-Source LLaMA 3.1 release deserves attention, especially to the investors of close source LLM models. 3 model sizes of 8B, 70B and 405B parameters enables edge to datacenter usage. Expanded context windows to 128k tokens supports much large prompt and multilingual support. The 405B parameter model competes well with GPT-4 and Claude 3.5 and is integrated with various cloud platforms. The LLaMA model can be fine-tuned and adapted for specific tasks without full retraining with techniques like LoRA as full retraining requires 2048 A100 GPUs for 21 days (estimate). The hardware costs alone for the training could reach tens of millions of dollars (painful to VCs) so efficient alternatives to full retraining is key to AI startups leveraging LLaMA. The approaches are growing, but include LoRA, 8-bit precision to reduce memory footprint and fine-tuning on specific datasets or tasks. Why did Meta open-source LLaMA? Meta aims to disrupt the competitive edge of companies with proprietary models such as Google and OpenAI. The traditional open-sourcing benefits of building a large developer base, fostering innovation and adoption. It also helps Meta attract and retain top AI researchers who prefer working with open and accessible technologies. Likely, Meta will offer managed services with specialized hardware in the future.

🌐 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

𝙃𝙚𝙡𝙡𝙤, 𝙚𝙫𝙚𝙧𝙮𝙤𝙣𝙚! 🌟 I am ecstatic to announce that I have submitted my innovative project, Explainable AI for Decision Transparency, in the Google Cloud presents AI for Impact APAC Hackathon, powered by @hack2skill. 🎉 🌟 The Problem We’re Solving, In the fast-evolving world of AI, many models function as "black boxes," delivering decisions without explanations. This lack of transparency creates distrust, especially in critical sectors like healthcare, finance, and legal systems. 💡 Our Vision My solution leverages Explainable AI (XAI) to ensure transparency, trust, and usability in AI-driven decisions. ✔️ Features: 𝘈𝘤𝘵𝘪𝘰𝘯𝘢𝘣𝘭𝘦 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘶𝘴𝘪𝘯𝘨 𝘪𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵𝘢𝘣𝘭𝘦 𝘮𝘰𝘥𝘦𝘭𝘴 𝘭𝘪𝘬𝘦 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯 𝘵𝘳𝘦𝘦𝘴 𝘢𝘯𝘥 𝘳𝘶𝘭𝘦-𝘣𝘢𝘴𝘦𝘥 𝘴𝘺𝘴𝘵𝘦𝘮𝘴. 𝘗𝘰𝘴𝘵-𝘩𝘰𝘤 𝘦𝘹𝘱𝘭𝘢𝘯𝘢𝘵𝘪𝘰𝘯𝘴 𝘸𝘪𝘵𝘩 𝘵𝘰𝘰𝘭𝘴 𝘭𝘪𝘬𝘦 𝘓𝘐𝘔𝘌, 𝘚𝘏𝘈𝘗, 𝘢𝘯𝘥 𝘓𝘙𝘗 𝘧𝘰𝘳 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘯𝘦𝘶𝘳𝘢𝘭 𝘯𝘦𝘵𝘸𝘰𝘳𝘬𝘴. 𝘜𝘴𝘦𝘳-𝘧𝘳𝘪𝘦𝘯𝘥𝘭𝘺 𝘪𝘯𝘵𝘦𝘳𝘧𝘢𝘤𝘦𝘴 𝘸𝘪𝘵𝘩 𝘷𝘪𝘴𝘶𝘢𝘭 𝘢𝘪𝘥𝘴 𝘢𝘯𝘥 𝘯𝘢𝘵𝘶𝘳𝘢𝘭 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘦𝘹𝘱𝘭𝘢𝘯𝘢𝘵𝘪𝘰𝘯𝘴 𝘷𝘪𝘢 𝘎𝘰𝘰𝘨𝘭𝘦’𝘴 𝘎𝘦𝘮𝘪𝘯𝘪. 𝘊𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘤𝘦 𝘸𝘪𝘵𝘩 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘢𝘯𝘥 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺 𝘴𝘵𝘢𝘯𝘥𝘢𝘳𝘥𝘴 𝘧𝘰𝘳 𝘧𝘢𝘪𝘳𝘯𝘦𝘴𝘴 𝘢𝘯𝘥 𝘵𝘳𝘢𝘯𝘴𝘱𝘢𝘳𝘦𝘯𝘤𝘺. 🏆 Impact: This innovation can empower users, policymakers, and organizations to trust AI systems, leading to better decision-making and broader AI adoption. 🎯 Technologies Used: Google Cloud tools: Vertex AI, Gemini, Gemma Data processing with Pandas, TensorFlow, and Keras Interactive UIs via React.js and D3.js What’s your take on this idea? 💬 Share your thoughts on how we can amplify its impact. Wish me luck as we await the shortlist announcement! 🌟 Let’s create AI solutions that people can trust. Together, we can make a difference! 💪 🌐 Follow the journey: Hack2skill Google Cloud #AIforImpact #Hack2skill #Hack2skillContest #GoogleCloud #ExplainableAI #TransparencyMatters #AIInnovation #Hackathon #MachineLearning #AIforGood #CloudComputing #FutureOfAI #EthicalAI #XAI #TechForGood #InnovationForImpact #AITransparency #ResponsibleAI #DigitalTransformation #DataScience #TechInnovation #ArtificialIntelligence #AIApplications #SmartSolutions #NextGenTech #Google #innovation, #management, #digitalmarketing, #technology, #creativity, #futurism, #startups, #marketing, #socialmedia, and #socialnetworking

Is there no differentiation among big tech AI companies or is no differentiation possible? Or both? The big man tweets...or "x's." This would make more sense if Meta hadn't open sourced Llama. That was one of the more remarkable decisions in recent tech history, completely upending OpenAI and Microsoft's strategy. Google has now opened source "Gemma," a version of their AI model. To win spend from open source, Big Tech AI models will need to find a way to differentiate. It's unclear how yet. All the while, startups will be building on open source... Also, I wouldn't lump Elon Musk in as a source of hope at the moment... https://buff.ly/48zFDQD

🚨Microsoft just got a massive AI talent boost ‼️ Mustafa Suleyman and Karén Simonyan, co-founders of the prominent AI startup Inflection AI, are joining Microsoft to lead the company's newly formed consumer AI division called Microsoft AI. ❗️Key points: ✅Mustafa Suleyman, who previously co-founded DeepMind (acquired by Google in 2014), will serve as EVP and CEO of Microsoft AI, reporting directly to Microsoft CEO Satya Nadella ✅Karén Simonyan, a renowned AI researcher and thought leader, is joining as Chief Scientist in the Microsoft AI group ✅Several members of the Inflection AI team, including some of the most accomplished AI engineers and researchers, are also moving to Microsoft ✅ Suleyman will lead AI products and research for Microsoft's Copilot, Bing, and Edge[1][3]. - As part of this transition, Inflection AI is shifting its focus to providing an API for its AI models, hosted on Microsoft Azure and other cloud platforms ✅Microsoft had previously invested in Inflection AI, leading a $1.3 billion funding round less than a year ago CEO Satya Nadella emphasized the importance of this move, stating that the company is only in the second year of the "AI platform shift" and must ensure it has the "capability and capacity to boldly innovate".

📢 Elon Musk's Open Source AI Chatbot Grok: A Game Changer for the ML Community! 🌟 🔄 What's New?Elon Musk's XAI has released #Grok ✨ Base model only ✨ MoE architecture (8 experts, 2 active) ✨ 314B params (86B active) ✨ 73% on MMLU, 62.9% GMSK, 63.2% HumanEval ✨ 8K context ✨ RoPe embeddings enabling context extension ✨ Apache 2.0 1️⃣ At first, most won't be able to use it 💻⚠️ Grok needs multiple H100s to run and more to fine-tune, so will remain the preserve of the GPU rich 💰 for now. But, over time the community will find ways to efficiently deploy and fine-tune Grok, cloud providers will then make it accessible opening up use. 2️⃣ Increases pressure on closed #LLM business model 💣 With Grok now, and #Llama 3 soon there will be fewer reasons to pay a premium for #GPT4, #Claude3, #Gemini or #Mistral Large. Eventually, businesses will use frontier models selectively when needed, and choose to privately host next best open models for most workloads. 3️⃣ Reduces reliance on Meta 👑⚔️ Some have bemoaned the reliance on Meta as our sole champion among big tech for #opensource ML. While I disagree given the recent contributions from Tencent, and Google. The release of Grok illustrates there will be continued incentives to release open models and cements a bright future for open ML. 🌈

𝗠𝗲𝘁𝗮 𝗷𝘂𝘀𝘁 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗠𝗲𝘁𝗮 𝗟𝗹𝗮𝗺𝗮 𝟯, touting it as the most advanced openly available large language model yet, aiming to reshape how developers, researchers, and businesses utilize AI. 🦙🦙🦙 ➡️ This new model, accessible on major platforms like AWS and Google Cloud, boasts up to 70 billion parameters and promises enhancements in reasoning and code generation. ➡️ The objective is to make Llama 3 multilingual and multimodal, have longer context, and continue to improve overall performance across core LLM capabilities such as reasoning and coding. ➡️ With tools like Llama Guard 2 and CyberSec Eval 2, Meta emphasizes responsible AI use, aiming to align Llama 3’s abilities with ethical standards. ❓ Amidst this progress, the AI community faces a crucial question: Will Llama 3 truly enhance productivity and innovation, or could it intensify the AI divide, pushing the boundaries of AI ethics and practical utility? Read the full story on The Digital Speaker: https://lnkd.in/gtNEhdJy #Llama3 #LLM #OpenSource #Meta #GenAI ---- 💡 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! 🚀

Microsoft Invests $16M in Mistral AI: A Milestone for Web Tech Exciting news for the tech world! Microsoft's $16 million investment in Mistral AI paves the way for groundbreaking advancements in both Web2 and Web3 sectors. This move highlights the growing importance of AI in shaping the future of internet technologies. As a firm deeply involved in Web2 and Web3 development, we see this as a pivotal moment that could spark innovative solutions and collaborative opportunities within the ecosystem. Let's explore how this investment will influence the tech landscape. For more details, check out the full story. https://lnkd.in/d-z6CNPC #Microsoft #MistralAI #WebDevelopment #Innovation

🚀 Big news from Mark Zuckerberg: Open Source AI is the future!🚀 Article: https://lnkd.in/erVHCdWy Meta is launching Llama 3.1, the first frontier-level open-source AI model, alongside improved 70B and 8B models (an extremely powerful and expensive AI model.) This move is quite intriguing. It’s about empowering creators, artists, students, businesses, developers, and organizations to innovate by allowing them to create their own AI Agents. Zuckerberg highlights how open source allows customization, enhances security, and avoids vendor lock-in. By working with companies like Amazon, Databricks, and NVIDIA, Meta fosters an ecosystem that supports developers in fine-tuning and deploying AI models efficiently and cost-effectively. The implications? A future where AI is more accessible, secure, and innovative. This is a game-changer for startups, universities, and businesses of all sizes. What are your thoughts on the potential of open-source AI? How do you see it impacting your industry? Do you think this is harmful? What are your thoughts? Concerns? Let’s discuss it in the comments below! 🚀🤖 #AI #OpenSource #Innovation #TechNews #FutureOfWork