How ChatGPT is built: from perceptrons to Transformers

ChatGPT's LLM transforms everyday tasks by processing natural language inputs to generate responses, code, or content in seconds. It's like having an AI assistant that understands context and delivers precise outputs without complex setups. Content Creation: Automate blog drafts, social media posts, or email replies with tailored prompts. Workflow Integration: Pair it with n8n for seamless automation, like routing queries or generating reports on demand. Customization: Fine-tune prompts for industry-specific needs, from marketing copy to code snippets. Scalability: Handle high-volume queries efficiently, making it ideal for teams or multi-client systems. This visual represents the neural power behind ChatGPT—simple yet transformative. How are you using LLMs to streamline your work? #ChatGPT #LLM #AIAutomation #LargeLanguageModels #OpenAI #ContentGeneration #WorkflowAutomation #n8n #Productivity #AItools #TechInnovation #DigitalTransformation #MachineLearning #NaturalLanguageProcessing #AIBusiness

Human rotations and AI simplifications: how ChatGPT solved my quantile problem My problem for today: given two quantile functions (right-continuous, step-shaped), when do they strictly cross? I put this to GPT and got an answer that didn't quite work. I pasted in a graph to show why GPT was wrong. It "understood" the picture enough to tell me I'd specified the problem incorrectly!  We iterated but still failed repeatedly. I asked Gemini, still no luck. All else failed, so **I thought about it** more. I remembered that rotating the graphs makes proper functions with no jumps, and from there the answer is obvious. I coded that, and it *almost* worked---but it was unsatisfyingly complicated. I asked GPT and Gemini to fix my bug. Gemini did what I asked, I was interpolating incorrectly, and made my messy solution work. GPT thought for seven minutes and then came up with the stunning insight (to me, who'd missed it): because quantile functions are flat between knots, crossings can only happen at the *union of the knot points*. Evaluate both functions at the *midpoints* of those intervals, watch for sign flips, and you're done! That's real geometric insight and creativity - exactly the sort of thing people say LLMs lack. #LLM #MachineLearning #GPT #Gemini #Creativity #ProblemSolving 

Regarding ChatGPT's custom GPT feature, there is a common misconception that a maxed-out prompt and a knowledge set stuffed with information will yield a fully conversational and complete solution. I've found these to be better solutions for highly targeted use cases with extremely distilled context support in the knowledge set. Ideally, the prompting instructions can be simple and left to handle specific user guidance or experiences. My latest test case is an ICS file creator that takes various forms of event or scheduling information and quickly constructs them into something my calendar can ingest. Think practice schedule flyers or screenshots of upcoming important dates. https://lnkd.in/eFTeq4FD Now, if you can open up one of these to a custom action that facilitates the discovery and retrieval of a massive library. In that case, the perceived breadth of the GPT can expand to encompass the library.

The next big unlock for getting the best results from ChatGPT isn't individual prompts. It's complete SYSTEMS. Most people and businesses right now are treating AI like a calculator for words. Checking their grammar and writing emails. And there's no doubt AI is useful for this. But this is just barely scratching the surface of what it can do for you. The next level is using AI as a mirror, co-founder, strategist and simulator. Utilizing robust systems that take the user from start to finished product. This means constructing thinking environments inside ChatGPT. Creating nested systems, multi-layered requests and simulating entire workflows. 1/ #chatgpt #ai #systems #prompts

Fun exercise. Ask ChatGPT (or your preferred AI chat) to summarize your presence on the internet into three succinct paragraphs. Bonus: Ask it to write it in the form of a poem.

🔓 Discover how to unlock ChatGPT's "super memory" for FREE with a simple phrase! 🤖💡 📰 According to ComputerHoy, OpenAI has launched a new experimental feature called "memory" for ChatGPT, allowing the chatbot to remember key information from previous conversations. This means you won’t have to repeat details over and over in each interaction. 🧠 How to activate it? It’s very simple: just type the phrase "Activate my memory" in the chat. From that moment on, ChatGPT will remember your preferences, relevant personal data (such as your profession or interests), and context from past conversations, improving the fluency and personalization of responses. ⚙️ Memory can be managed: - You can ask it to forget something specific at any time. - There is also the option to use ChatGPT without memory, ideal for conversations requiring privacy. - Plus, Team, and Enterprise users can already test this feature. It will soon be available for more plans. 🚀 This innovation brings AI even closer to being a smart, adaptive personal assistant capable of learning from every interaction with you. For more information visit: https://enigmasecurity.cl Would you like to implement conversational AI strategies in your company? Let’s connect and talk! 👇 https://lnkd.in/eGvmV6Xf #ChatGPT #OpenAI #ArtificialIntelligence #TechInnovation #AIMemory #VirtualAssistants #Technology #AI #Chatbots #DigitalProductivity 📅 Tue, 26 Aug 2025 16:42:11 +0200 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt

🚀 The Role of Artificial Intelligence in Our Future 🤖🌍 We recently had an exciting discussion with ChatGPT on how Artificial Intelligence is shaping our world. From healthcare 🏥 to education 📚, transportation 🚗 to climate solutions 🌱, AI is transforming the way we live, work, and think. 💡 Highlights from our discussion: How AI is changing jobs and creating new opportunities 💼 Ethical challenges of AI: privacy, bias, and responsibility ⚖️ Futuristic applications that could redefine daily life 🌐 How humans and AI can collaborate for innovation and growth 🤝 ✨ Key Takeaway: The future belongs to those who understand AI and can work with it, not against it. Preparing the next generation with AI skills is the key to a smarter, safer, and more innovative world. 🔗 Watch our full discussion with ChatGPT here: https://lnkd.in/gbY9d99i #ArtificialIntelligence #FutureOfAI #Innovation #AIForGood #TechTrends Talk with ChatGPT 8 Gulsana Mansha,Rehana Siddiqui EducationWali,Doulat EducationWala,Jai Parkash EducationWala

Transformers & Attention: The Brain of AI Scenario: How does ChatGPT know “it” in a sentence refers to the “ball” and not the “dog”? Definition: Transformer architecture uses self-attention to link context. Analogy: A teacher scanning all students—focusing more on the one raising a hand. Real-Time Example: Sentence: “The dog chased the ball because it was fast.” 👉 Attention links “it” → “ball”. Flow: Tokens → Attention Layer → Context-aware Representations Tips: Transformers process tokens in parallel, unlike RNNs. Memory Trick: Transformer = Multi-focus camera lens. Interview Q: Why transformers > RNNs? ➡️ Because they capture global context in parallel. Conclusion: Attention is the magic trick—AI doesn’t just read, it understands context.

Your brain runs on about 20 watts of power. That’s the same as a dim lightbulb. ChatGPT-5? It needs thousands of GPUs, using megawatts of electricity, to run. And yet… With all that power, it still can’t do what a 3-year-old can do: See one example and remember it for life. Do you know, a neural network learns by brute force. To recognize the digit 2, it needs a ton of data to be trained on. To “know” what a cat is, it might need to see millions of cat photos. But a 3-year-old only needs one. Because a child doesn’t just see patterns. They attach meaning. The brain doesn’t store “pixels of fur.” It stores: 👉 the thing that meows 👉 the thing that feels soft 👉 the thing I was once scared of That’s why knowledge in humans lasts. It’s not just a pattern. It’s a pattern with meaning. AI doesn’t have that. It’s great at making patterns, but it doesn’t know what they mean. That’s why: ChatGPT can write 50 versions of a sales pitch.  …But it takes a person to know which one won’t upset a client. It can write a sympathy note.  …But I have no idea what grief feels like. It can pass the bar exam.  …But it doesn’t care if justice is done. AI is a machine for patterns. Humans are the ones who give those patterns meaning.

The future arrived quietly, yet it’s impossible to ignore now. ChatGPT, #Gemini, and Perplexity are reshaping the world of AI and data like never before. Just a few years ago, AI was mostly about automating repetitive tasks. Today, it’s about understanding, predicting, and creating with intelligence that feels almost human. I still remember the first time I asked ChatGPT a complex data question and received not just an answer, but a structured analysis I could act on immediately. Gemini entered the scene next, pushing boundaries in reasoning and multi-modal intelligence, handling text, images, and even intricate workflows seamlessly. And Perplexity? It’s changing the way we navigate knowledge, offering answers that anticipate what we really need to know. Businesses are no longer asking if they should leverage AI, they’re asking how fast. Teams that once spent days cleaning and analyzing data now get insights in minutes, making decisions with unprecedented confidence. Innovation cycles are shortening, and ideas that once felt futuristic are now operational realities. AI isn’t just a tool anymore; it’s a co-pilot for decision-making, creativity, and strategy. ChatGPT, Gemini, and Perplexity aren’t just taking over they’re taking us to the next level of intelligence. And the journey is just beginning. #ai #Chatgpt #gemini #perplexity