OpenAI Mastery

Prompt share: Disney Prince Caricature 💬 Prompt: A professional 3D caricature of [famous person] reimagined as a charming Disney-style [royal character], Pixar-inspired animated character design, recognizable facial features, exaggerated facial proportions, oversized expressive eyes, [facial expression], wearing [elaborate royal outfit], intricate gold embroidery, luxurious fabric textures, [confident pose], whimsical fairytale aesthetic, stylized realistic skin, detailed hair sculpting, cinematic studio lighting, Octane render, full-body composition, pure white background, ultra-detailed, premium animated movie quality

🔅 PREMIUM CHANNELS -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 Web Development -◦-◦--◦--◦-◦--◦--◦-◦-- 216k| 🔰 Linkedin Learning 143k| 🔰 Zero To Mastery 133k| 🔰 Web Development -◦-◦--◦- 125k| 🔰 Learn Python 3 096k| 🔰 Machine Learning 096k| 🔰 Learn JavaScript -◦-◦--◦- 071k| 🔰 Artificial Intelligence 070k| 🔰 Data Analysis and Databases 068k| 🔰 Linux and DevOps -◦-◦--◦- 053k| 🔰 Business and Finance 051k| 🔰 100 Days of Python 050k| 🔰 AI Tools -◦-◦--◦- 042k| 🔰 Udemy Learning 041k| 🔰 Best Telegram Channels 041k| 🔰 ZTM Courses -◦-◦--◦- 039k| 🔰 Mobile Apps 035k| 🔰 Linkedin Learning Courses 035k| 🔰 Soft Skills -◦-◦--◦- 034k| 🔰 Codedamn Courses 030k| 🔰 Crypto Tutorials 030k| 🔰 Coding Interview -◦-◦--◦- 027k| 🔰 Agentic AI Coding 025k| 🔰 The Coding Space -◦-◦--◦--◦-◦--◦--◦-◦-- 🔰 Add Your Channel -◦-◦--◦--◦-◦--◦--◦-◦--◦--◦-◦--◦- 🔰 2hrs on top & 8hrs in channel!

🔰 10 Python libraries every AI engineer should know: PyTorch: Deep learning models Hugging Face Transformers: Pretrained AI models LangChain: LLM apps & agents LangGraph: Stateful agent workflows OpenAI Python SDK: OpenAI model integrations Pydantic: Data validation Sentence Transformers: Text embeddings FAISS: Vector similarity search FastAPI: Web APIs MLflow: Experiment tracking & ML lifecycle management

📚 An Illustrated Guide to AI Agents Artificial intelligence is entering a new phase. AI agents can now reason, plan, and act with increasing independence. From accelerating scientific breakthroughs to supporting... 🌐 Website

357 sources. One MCP server. AI agents are only as good as the data they can reach. Most only see search snippets and open pages, missing the registries, marketplaces and business databases. NeuralVerge is the data layer for agentic AI. Your agent gets structured, cited data from 357 sources plus the open web, over MCP: 🛒 128 e-commerce & marketplace sources: Amazon, eBay, Walmart, AliExpress, Shopify, Zalando… 🏛 95 corporate registries: UK, France, Spain, Netherlands, Nordics, Poland, Brazil, Canada… 🚀 93 startup & funding sources: Dealroom, PitchBook, Tracxn, Product Hunt, Y Combinator… 📊 16 company intelligence sources: Crunchbase, Gartner, Capterra, Trustpilot 💬 23 social media sources: LinkedIn, Instagram, Facebook, YouTube 👥 B2B data — 7: Company and people search, Company and people profiles, Company employees 📇 Enrichment: Email lookup, Phone lookup, LinkedIn Finder, Email finder Works with Claude, ChatGPT, Gemini, Cursor and any MCP client. 👉 https://tglink.io/42e9a1b9721653

Kling Prompt share Prompt: Dynamic low-angle tracking shot: A Formula 1 driver speeds down a twisting track, the camera hugging the ground beside the car as tires screech and sparks fly from the chassis. Engines roar while the driver shifts gears with precision, overtaking a rival at the turn. cinematic adrenaline-filled racing footage

Your AI agent might need fewer sub-agents. Anthropic has observed that in several enterprise deployments, a single agent equipped with specific "skills" outperformed a multi-agent system—often delivering better results while also being more cost-effective and faster. For one client, task completion speed roughly doubled. The problem is a familiar one: each team builds its own agent, with an "orchestrator" layered on top. As tasks are passed around, details get lost, instructions conflict, and the extra handoffs introduce additional latency. The alternative is a single primary agent that loads specific instructions and tools as needed. This approach preserves the context of previous steps and allows the agent to adjust its own plan dynamically. For instance, the instructions for a returns specialist could be structured as a "skill," while the processes for verifying an order and executing a return could be implemented as "tools." Sub-agents remain useful when you need independent, parallel research, an additional layer of output verification, or a way to isolate context that would otherwise overwhelm the primary agent. Anthropic suggests a gradual transition: replace one sub-agent w

The Full Stack AI Explained

MASTER CLAUDE CODE IN 7 DAYS From Beginner to AI-Powered Developer with Agentic Coding, Prompt Engineering, Debugging,… (Teklor Auren)

MASTER CLAUDE CODE IN 7 DAYS From Beginner to AI-Powered Developer with Agentic Coding, Prompt Engineering, Debugging,… (Teklor Auren)

👀 Didn't know Microsoft had a whole page of free AI tools lol You can generate stickers, edit photos, design rooms, create social media posts, and a bunch of other stuff. Some are actually pretty useful, so might be worth checking out! 🔗 https://www.bing.com/tools/ai

Claude AI for Beginners The Step-by-Step Guide to Using AI Without the Overwhelm (Archer, Marcus)

Claude AI for Beginners The Step-by-Step Guide to Using AI Without the Overwhelm (Archer, Marcus)

🖥 Using ChatGPT to turn a photo into an iconic design. Transform this image into a grid of minimalist logos using the main subject as the core icon. Abstract and simplify the primary element into multiple unique vector-style logo marks. Each variation should reinterpret the same subject in different ways (geometric, line art, negative space, emblem, badge, monogram). Arrange 16-20 logos evenly on a light background. Keep designs clean, modern, with balanced spacing. Maintain consistency while exploring creative variations of the original subject as a cohesive branding logo collection.

📚 Senior’s Guide to ChatGPT – 1st Edition, 2026

🔥 10 AI Repositories of the Week: From HTML-to-Video to 3D Models via Text Prompts 1. rea — making sense of unfamiliar software Provides an AI agent with tools to analyze applications—ranging from JavaScript and Electron to native binaries—using Ghidra, IDA, or Hopper. https://github.com/morluto/rea 2. skills — engineering habits for AI agents A collection of skills curated by Matt Pocock, covering requirements refinement, task decomposition, TDD, bug diagnosis, and architectural work. https://github.com/mattpocock/skills 3. diagram-design — generating clear diagrams from prompts A tool for coding agents that supports 44 different diagram types. It outputs a standalone HTML file containing an SVG, which can be viewed directly in a browser. https://github.com/cathrynlavery/diagram-design 4. iFixAi — verifying agent performance An independent audit system that checks whether an agent has completed its assigned task while adhering to specified constraints. The creators claim it can perform a diagnostic in under two minutes. https://github.com/ifixai-ai/iFixAi 5. hyperframes — turning HTML into video Converts HTML, CSS, media, and animations into MP4 files. Ideal for creating graphics-

🤖 IMPORTANT AI TERMS & TOOLS YOU SHOULD KNOW 🧠 If you want to understand modern AI better, these are some of the most important terms and tools to know. 🧠 1. Generative AI AI that can create new content such as: ✔️ Text ✔️ Images ✔️ Audio ✔️ Video ✔️ Code Examples include ChatGPT, Gemini and Claude. 💬 2. Large Language Model (LLM) An AI model trained on large amounts of text to understand and generate human-like language. LLMs power many modern AI chatbots and writing tools. 📝 3. Prompt A prompt is the instruction or input you give to an AI system. A clear and specific prompt generally helps you get more useful results. 🎯 4. Prompt Engineering The practice of designing and improving prompts to get better results from AI models. It can involve giving context, defining the task, specifying the format and providing examples. 🔢 5. Tokens AI models process text as tokens rather than simply reading complete words. A token can represent a word, part of a word, punctuation, or other pieces of text. 📚 6. Context Window The amount of information an AI model can consider within a conversation or request. A larger context window allows a model to work with more text and information at once. 🧩

Prompt share: Impasto Oil Painting 💬 Prompt: Expressive impasto oil painting of [subject] in [setting], featuring [distinctive visual elements], [dynamic composition], [color palette], thick sculptural brushstrokes, heavily layered oil pigments, dramatic palette knife textures, bold gestural mark-making, exaggerated forms, rich saturated colors, visible paint ridges, expressive movement, tactile three-dimensional paint buildup, striking contrasts, dramatic directional lighting, contemporary fine art aesthetic, white background