Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning

8. Create a Business Growth Strategy Act as an experienced business growth advisor. Help me create a realistic growth strategy for my business. First, ask me the essential questions about my current revenue, customers, products or services, acquisition channels, conversion, retention, team, resources, and goals. Then identify the biggest growth opportunities and create a prioritized strategy with clear actions, metrics, and milestones. 9. Build a Stronger Business Brand Act as a brand strategist. Help me strengthen the positioning of my business. First, ask me the essential questions about my target customers, competitors, product or service, customer problem, current positioning, and business goals. Then help me clarify what my business should be known for, how it should differentiate itself, what message it should communicate, and how I can consistently present that positioning across my marketing channels. 10. Find My Biggest Business Opportunity Act as a strategic business advisor. Help me identify the single biggest opportunity I may be overlooking. First, ask me the essential questions about my business, customers, revenue, products, competitors, operations, resources, challenges, and goals. Analyze my answers and identify the opportunity that could have the greatest positive impact. Explain why it matters, what assumptions need to be tested, and what I should do first. Double Tap ❤️ For More Useful Prompts

💼 10 ChatGPT Prompts Every Business Owner Should Know 1. Improve Customer Retention Act as an experienced customer-retention strategist. Help me improve customer retention for my business. First, ask me the essential questions about my customers, product or service, customer journey, current retention, feedback, and common reasons customers leave. Then identify the most likely retention problems and suggest practical strategies to improve customer satisfaction, repeat purchases, loyalty, and long-term customer value. 2. Improve My Sales Process Act as an experienced sales strategist. Help me improve the sales process for my business. First, ask me the essential questions about my target customers, offer, current sales process, lead sources, conversion rates, sales cycle, and common objections. Then identify the biggest weaknesses in my sales process and create practical improvements for attracting, qualifying, converting, and following up with potential customers. 3. Find New Revenue Opportunities Act as a business growth strategist. Help me identify new revenue opportunities for my business. First, ask me the essential questions about my current products or services, customers, pricing, sales, capabilities, and business goals. Then identify realistic opportunities such as new products, services, customer segments, pricing models, partnerships, upselling, or recurring revenue. Rank them based on potential impact, effort, and risk. 4. Improve My Pricing Act as a pricing strategist. Help me evaluate the pricing of my product or service. First, ask me the essential questions about my customers, value proposition, costs, competitors, current pricing, sales results, and business goals. Then identify whether my pricing may be too low, too high, or poorly structured and suggest practical pricing approaches I could test. 5. Create a Customer Acquisition Strategy Act as a customer acquisition expert. Help me develop a strategy for consistently attracting customers. First, ask me the essential questions about my target audience, offer, current customers, marketing channels, budget, sales process, and goals. Then identify the most suitable acquisition channels, explain how I should test them, and create a practical plan for turning the best-performing channels into a repeatable customer-acquisition system. 6. Turn Customer Feedback Into Improvements Act as a product and customer-experience strategist. I will provide customer feedback about my business. Analyze the feedback and identify recurring problems, unmet needs, positive patterns, feature requests, and potential opportunities. Separate individual opinions from meaningful patterns and prioritize the improvements that could have the greatest impact on customer satisfaction and business growth. 7. Improve My Business Operations Act as a business operations consultant. Help me identify ways to make my business more efficient. First, ask me about my key processes, team, tools, recurring tasks, bottlenecks, costs, and operational challenges. Then identify what I should simplify, standardize, delegate, automate, or eliminate. Prioritize the changes based on time saved, cost reduction, quality improvement, and ease of implementation. **8.

🎯 GigaChat 3.5 Reasoning: 5 Key Features 1️⃣ Advanced Reasoning: Explores multiple step-by-step paths, using automated verification to reinforce correct answers and self-correct 2️⃣ Autonomous Tool Usage: Independently decides when to call external APIs or revise earlier steps 3️⃣ Linear Attention: Proprietary architecture retains key context points without re-matching from scratch 4️⃣ Token Economy: Uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems 5️⃣ Proven Performance: Open-source LLM (built on GigaChat 3.5 Ultra) with massive benchmark gains: • IFBench: 44 → 77 • Natural Plan: 64 → 80 • LiveCodeBench v6: 56 → 85 🔗 MIT License. Weights on Hugging Face:  fp8 | bf16

How to use ChatGPT to improve your decision-making 🧠🎯 Prompt: I want you to act as my personal decision-making coach. My goal is to make clearer, more logical, and better-informed decisions. Help me by: • First, assess how I currently make decisions through questions and real-life scenarios • Identify common patterns, biases, or mistakes in my thinking • Teach me practical decision-making frameworks • Give me realistic situations where I have to make a choice • Ask me to explain my reasoning before giving feedback • Challenge my assumptions and help me consider alternative perspectives • Show me how to separate facts, assumptions, emotions, and opinions • Help me evaluate risks, trade-offs, and consequences • Give me exercises to strengthen my critical thinking • Track my progress and gradually increase the difficulty Don't make decisions for me. Help me develop the ability to make better decisions independently. Start with the first scenario. Double Tap ❤️ For More Useful Prompts

✅ Top 5 Mistakes to Avoid When Learning Artificial Intelligence 🤖❌ 1️⃣ Skipping Math Foundations AI relies on linear algebra, calculus, and probability. Learn the basics or struggle later. 2️⃣ Confusing AI with ML and DL AI is the broad field. ML and DL are subsets. Know the difference to learn the right tools. 3️⃣ Focusing Only on Code Don't just run models. Understand why and how algorithms work under the hood. 4️⃣ Neglecting Ethics and Bias AI systems affect real lives. Always check for fairness, explainability, and transparency. 5️⃣ Not Building Real-World Projects Theory won't get you hired. Apply AI in fields like healthcare, finance, or NLP. Share results. 💬 Tap ❤️ for more!

🤖 AI News of the Day: 11 September 2026 1️⃣ AI misuse raises major security concerns ⚠️ Anthropic says it disrupted multiple attempts to misuse its Claude models for cyberattacks, surveillance, weapons development and biological research. The findings are intensifying debate over AI safeguards. 2️⃣ US lawmakers push for tougher AI rules 🏛️ Growing concerns about advanced AI systems have prompted lawmakers from both parties to consider stronger oversight, independent evaluations and emergency controls for powerful AI models. 3️⃣ China's Z.AI raises $5 billion 💰 Chinese AI company Z.AI has launched a massive $5 billion fundraising effort to finance computing infrastructure, research, acquisitions and expansion as competition with US AI companies intensifies. 4️⃣ AI agents become the new cybersecurity challenge 🛡️ Anthropic's latest report says attackers are increasingly using AI agents to automate reconnaissance, data theft and cyber operations, reducing the amount of human involvement required. 5️⃣ India becomes increasingly important to global AI 🇮🇳 Anthropic's India leadership says the country's large developer community and willingness to experiment are helping shape AI products and adoption strategies for global markets. Double Tap ❤️ For More

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Top AI Models for Developers There is no single winner for every dev task. 1. Claude — Anthropic Best for: Complex coding & large codebases Excellent for: Debugging, refactoring, code reviews, multi-file changes, agentic coding, understanding existing codebases Best choice: Complex production development 2. GPT — OpenAI Best for: All-round software development Excellent for: Coding, debugging, architecture, algorithms, code explanation, agentic workflows Best choice: Developers who want one versatile model 3. ChatGPT — Google Best for: Large codebases & multimodal development Excellent for: Large-context code analysis, coding, documentation, multimodal inputs, Google Cloud development Note: Very large context window is great for big repositories 4. DeepSeek Best for: Cost-effective coding & reasoning Excellent for: Coding, mathematics, reasoning, debugging, high-volume development Best choice: Strong performance at lower cost 5. Qwen Best for: Open-weight coding Excellent for: Code generation, coding agents, local deployment, customization, multilingual development Best choice: You want control over deployment and open-weight models 6. Grok — xAI Best for: Coding + real-time information Useful for: Coding, reasoning, web research, current information, developer experimentation 7. Mistral Best for: Efficient/open AI development Useful for: Enterprise applications, coding, local/private deployments, multilingual applications 8. Llama — Meta Best for: Open-weight AI development Useful for: Local AI, fine-tuning, research, custom AI applications, private deployments 9. Kimi — Moonshot AI Best for: Reasoning + long-context development Useful for: Complex reasoning, coding, large-context tasks, AI agents 10. GLM — Zhipu AI Best for: Coding + agents + open models Useful for: Code generation, reasoning, agent development, open-weight experimentation Quick Ranking for Developers 🥇 Claude → Complex coding & refactoring 🥈 GPT → Best all-rounder 🥉 ChatGPT → Large codebases & multimodal work 4️⃣ DeepSeek → Cost-effective coding 5️⃣ Qwen → Open-weight/local coding 6️⃣ Grok → Coding + real-time information 7️⃣ Mistral → Efficient/open AI 8️⃣ Llama → Custom/local AI 9️⃣ Kimi → Long-context reasoning 🔟 GLM → Agents + coding These rankings are task-dependent. Different models win different coding scenarios. How to pick for your workflow: Working on a 100k line repo → Claude or ChatGPT for context + refactoring Need one model for everything → GPT Budget + high volume → DeepSeek Need local/private deployment → Qwen, Llama, Mistral Building agents → GLM, Kimi, Claude Need live docs + X trends → Grok Double Tap ❤️ For More ----- 2.14 ₽ · /balance_help

5 Free Courses to Go From AI Beginner to Practitioner 1️⃣ Harvard CS50: Introduction to AI with Python 🎓 Learn the fundamentals of AI before diving into machine learning. Build AI projects like Tic-Tac-Toe, search algorithms, and logic solvers while mastering core AI concepts. 👉 Click Here: https://cs50.harvard.edu/ai/ 2️⃣ Google Machine Learning Crash Course 📊 Google's official ML course teaches gradient descent, TensorFlow, feature engineering, and model training with interactive lessons used by Google engineers. 👉 Click Here: https://developers.google.com/machine-learning/crash-course 3️⃣ fast.ai – Practical Deep Learning for Coders 💻 Build real deep learning models from the very first lesson. Learn computer vision, NLP, PyTorch, and deploy AI applications with practical projects. 👉 Click Here: https://course.fast.ai/ 4️⃣ Hugging Face NLP Course 🤖 Master Transformers, LLMs, and modern Generative AI. Learn to fine-tune open-source models using the Hugging Face ecosystem. 👉 Click Here: https://huggingface.co/learn/nlp-course 5️⃣ Andrej Karpathy – Neural Networks: Zero to Hero 🧠 Build neural networks and a mini GPT completely from scratch. One of the best free resources to deeply understand how LLMs actually work. 👉 Click Here: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ ❤️ Follow AIJobs  for more AI drops

✅ Top Artificial Intelligence Concepts You Should Know 🤖🧠 🔹 1. Natural Language Processing (NLP)  Use Case: Chatbots, language translation  → Enables machines to understand and generate human language. 🔹 2. Computer Vision  Use Case: Face recognition, self-driving cars  → Allows machines to "see" and interpret visual data. 🔹 3. Machine Learning (ML)  Use Case: Predictive analytics, spam filtering  → AI learns patterns from data to make decisions without explicit programming. 🔹 4. Deep Learning  Use Case: Voice assistants, image recognition  → A type of ML using neural networks with many layers for complex tasks. 🔹 5. Reinforcement Learning  Use Case: Game AI, robotics  → AI learns by interacting with the environment and receiving feedback. 🔹 6. Generative AI  Use Case: Text, image, and music generation  → Models like ChatGPT or DALL·E create human-like content. 🔹 7. Expert Systems  Use Case: Medical diagnosis, legal advice  → AI systems that mimic decision-making of human experts. 🔹 8. Speech Recognition  Use Case: Voice search, virtual assistants  → Converts spoken language into text. 🔹 9. AI Ethics  Use Case: Bias detection, fair AI systems  → Ensures responsible and transparent AI usage. 🔹 10. Robotic Process Automation (RPA)  Use Case: Automating repetitive office tasks  → Uses AI to handle rule-based digital tasks efficiently. 💡 Learn these concepts to understand how AI is transforming industries!  💬 Tap ❤️ for more!

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🤝 Agentic AI Explained

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AI agents are no longer just a developer toy. OpenAI published new research on how agents are changing work, and the main takeaway is important: AI is moving from short chat interactions to delegated long-horizon tasks. That sounds abstract, but here is the simple version: Old way: ask AI one question, get one answer. New way: give AI a task, let it work for minutes or hours, review the result. This is the shift that matters. According to OpenAI's research, by May 2026, 80.6% of sampled individual Codex users made at least one request estimated to represent more than 30 minutes of human work. 70.2% made at least one request estimated at more than one hour of human work. And 25.6% delegated work estimated to take more than eight hours. The most interesting part: Non-developer adoption is growing fast. That means agents are not only for engineers anymore. They are becoming useful for: - operations - support - finance - recruiting - marketing - research - reporting - personal productivity - small business workflows This is the practical question now: Not "Which AI model is smartest?" But: "What work can I safely delegate to an agent?" The answer is not "everything." The answer is: one clear task, with context, tools, rules, memory, and human review. This is what we will focus on next: how to turn normal work into agent-ready tasks. Not theory. Not hype. Practical AI systems you can actually build and use. Sources: https://openai.com/index/how-agents-are-transforming-work/ https://www.axios.com/2026/06/25/codex-agents-growth-openai

🤖 Anthropic updates Claude Design with brand style sync Anthropic's Claude Design now integrates your design system directly from repositories, design files, or codebases to maintain your brand style across projects. It builds interfaces using your real components and checks compliance before you see the result. The editor is more stable for daily use and adds new layout controls. You can drag, resize, and align elements on the canvas without extra steps. Claude Design and Claude Code sync bidirectionally, letting you start in code or design and keep projects aligned. Finished work exports to PDF, PowerPoint, or other tools you already use. This update tightens the workflow between design and development with fewer style mismatches. 📊@tech