Joshua Wöhle’s Post

THERE ARE THREE R'S IN STRABERRY 🍓🍓🍓 Looking through OpenAI's new o1 launch today, it got me thinking about Daniel Kahneman's book, Thinking, Fast and Slow 📚. In it, Kahneman explains that our brains operate using two systems of thought. System 1 is fast, automatic, and intuitive—it handles everyday decisions without us even realizing it 🤔. System 2, on the other hand, is slow, deliberate, and analytical 🧠. It's what we engage when we're solving complex problems or learning something new. This dual-process theory highlights how we balance efficiency and thoroughness in how we think. By the way, did you catch the typo in "STRABERRY"? If not, that's System 1 at work—glossing over details to get the gist quickly. It takes System 2 to slow down and spot the error 🔎 OpenAI's o1 feels like a significant step towards embracing that System 2 thinking — more deliberate and analytical, targeting high-complexity (or high-risk) scenarios. Meanwhile, the current GPT models are akin to System 1: fast, intuitive, but at times superficial or even inaccurate. Both systems are necessary—in our brains and in our quest towards AGI. In future, it's not hard to imagine that you won't have to pick the right model to use - based on the prompt the AI will pick the right system to use to optimize the energy and time - just like our brain does. Exciting times! 🚀🌐 P.S. – The title (except the typo) and the screenshot come from the o1 launch examples, which I thought was very witty of them given all these AI strawberry memes. #OpenAI #o1 #ThinkingFastAndSlow #AI #AGI #Innovation

Two days ago, I set out to find a way to build a recommendation system with OpenAI but most of the stuff I found made it more complicated but after a crash course on "Embeddings", I think I have figured it out. Embeddings + Vector DB is the solution. #AI #Vector #Embeddings

Today, I’m excited to share some insights on the groundbreaking release of DeepSeek’s R1-Lite-Preview—a potential king-slayer in the AI landscape that is taking direct aim at giants like OpenAI! What sets R1-Lite-Preview apart? 🤔 1️⃣ Superior Performance: Surpassing benchmarks with 52.5% accuracy on AIME and 91.6% on MATH—setting a new standard for LLMs. 2️⃣ Transparent Reasoning: Unlike traditional models that operate in a "black box," users can now see the logic behind every answer—building trust and empowering users. 3️⃣ Open Source Commitment: By embracing an open-source framework, DeepSeek democratizes high-performance AI, fostering innovation and collaboration across the globe. The most interesting thing about R1-Lite-Preview is that it is produced by DeepSeek, a Chinese platform that is almost on par with OpenAI, Anthropic, and other industry heavyweights who gobble up [comparatively] obscene amounts of money to build their proprietary platforms. As AI continues to evolve, I think that it’s safe to say that R1-Lite-Preview, and indeed DeepSeek, may be a dark horse in the race for AI supremacy. I’ll leave a link in the comments if you want to try it out yourself! #AI #DeepLearning #OpenSource #R1LitePreview #DigitalTransformation #Innovation #Leadership

Just got some time out to try llama 3.1 on my machine, oh it is way better than previous models, though other models also works fine but this is ahead of the them. Let's see what OpenAI comes with in GPT5. What I feel about OpenAI is just another name they are having closed Business Model. Just like FRESH Tomato Ketchup, here FRESH is the name, not the feature of ketchup, it's fresh but not fresh. Like ketchup, choose your AI wisely. #GenAI #MockingAI

The industry puts $B into training the best LLMs systems (and rightly so). You’ve all seen investments in OpenAI, Mistral AI, Anthropic, Inflection AI, etc.  This is a high-stakes tech competition where differentiating is very hard, and resource needs very important. What’s good for us is that all the models produced from it will be commoditized soon enough.  Open source models published on Hugging Face are already starting to match state of the art competitors like OpenAI’s GPT-4. # There is another race. The race of how you use these new (mostly interchangeable) systems, which can structure unstructured content and reason, to build a product that will disrupt entire industries.  This race is about usage. It’s about pain points. It’s about erasing industry inefficiencies with 10x or even 100x productivity tools. This race is way more accessible, and while very competitive too, it gives competitors way more tools to differentiate themselves from one-another.  Competing on innovation is so much more fun than competing on resources! -- Want to see how we do in this race? Follow us at https://creative-robots.ai !

🎄 Day 2 of OpenAI's Christmas: Reinforcement Fine-Tuning Gets a Major Upgrade Just unwrapped OpenAI's second gift: Advanced reinforcement fine-tuning for O1 models. After spending the morning testing it, here's my deep dive into what this means for AI customization. 🎯 The Big Promise: Train models on reasoning patterns, not just data Claims you only need 12 examples to see results "Easy-to-use" interface for complex tuning 🧪 Reality Check: Having extensively tested similar tools, I can confirm these aren't empty promises. The "12 examples" claim holds up – you can achieve remarkable specialization with surprisingly small datasets. This mirrors my experience with earlier iterations of fine-tuning tech. 💰 The Cost Equation: Highly efficient for small, focused datasets Gets expensive quickly at scale Cost-benefit ratio skews unfavorable for large training sets 🔍 Key Learning From My Testing: Here's the secret sauce I've discovered: Don't try to create a "jack of all trades" model. The magic happens when you: Fine-tune for narrow, specific tasks Keep your general-purpose model separate Use them in tandem: Specialized model for specific tasks, general model for communication Think of it like having a highly specialized expert (fine-tuned model) consulting with a skilled communicator (general model) to deliver the perfect response. 🎓 Pro Tip: For those watching costs, I've found fine-tuning smaller models can often deliver better ROI for specific use cases. The key is being strategic about what you're trying to achieve. 🤔 Strategic Implementation: Rather than asking "Can we fine-tune this model?" start with "Should we fine-tune this model?" The best results I've seen come from clear, narrow use cases where the standard model consistently misses the mark. Question for my network: What specific tasks would you want to fine-tune a model for? Let's discuss use cases where this could be game-changing. Stay tuned for Day 3! 🎁 #AI #OpenAI #MachineLearning #ArtificialIntelligence #FineTuning #AIInnovation #TechNews

I've created an AI agent to streamline email outreach for salespeople! 🚀 Key features: - Automatically generates personalized emails using prospect data from a CSV file - Powered by OpenAI's GPT-3.5-turbo model - Saves time and improves personalization Interested in trying it out? Here's the GitHub repo: https://lnkd.in/dkf_pv-G Let me know what you think!  #langchain #streamlit #openai #ai

OpenAI just dropped o1 – a new type of model that takes a while longer to answer, but is better at reasoning. Sam Altman say's its still limited, but nevertheless a paradigm shift where AI can now do general-purpose complex reasoning. Read all about the new model in the latest edition of my newsletter. Want to get a daily breakdown of what's brewing in AI? Sign up here: https://lnkd.in/e9Xh766H https://lnkd.in/eFGfH5AG

🌟 Exciting News: The Future of AI with OpenAI O1! 🌟 🚀 OpenAI has just introduced the OpenAI O1 preview, a huge leap in building more efficient, scalable, and accessible AI systems. 🎯 With its innovative framework, O1 is designed to revolutionize how we approach AI development, making it more adaptable to complex tasks and scalable across industries. 🔑 Key Features of OpenAI O1: Faster performance, increasing productivity and efficiency 🔄 Enhanced fine-tuning capabilities for more specific, real-world applications 🎯 Advanced API integration, streamlining AI workflows 🤖 The O1 preview gives developers and organizations a sneak peek into the next generation of AI—one that's more reliable, scalable, and versatile than ever before. 🚀 Whether you're in data science, machine learning, or a business exploring AI-driven solutions, this new platform will be a game-changer for future innovations. 🌐 If you're curious to learn more, check out the full details here: OpenAI O1 Preview! #AI #ArtificialIntelligence #MachineLearning #OpenAI #TechInnovation #ScalableAI #AIIntegration

Why is GenerativeAI like a power tool? Yep, written with OpenAI... #WilsonSaidWhyNot #WhateverNext #StandardiseCategoriseSimplify In the world of creation, we find Generative AI, Like a power tool, it helps ideas to fly. Swift and efficient, it streamlines our task, Boosting creativity without any ask. With this digital assistant by our side, Innovation soars, on a seamless ride. So let's embrace this tool, both bright and true, Guiding our creativity, in all that we do.