ChatGPT & Free AI Resources

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🏆 Learn ChatGPT & Artificial Intelligence 🤖 Learn Python & Data Science 🔰All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML ✌️Follow for quality content amid all the noise in #AI Admin: @coderfun Buy ads: https://telega.io/c/learngpt

Сітка:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Індія10 979 Технології та додатки3 703...

📈 Аналітичний огляд Telegram-каналу ChatGPT & Free AI Resources

Канал ChatGPT & Free AI Resources (@learngpt) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 36 296 підписників, посідаючи 3 703 місце в категорії Технології та додатки та 10 979 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 36 296 підписників.

За останніми даними від 08 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 734, а за останні 24 години на 22, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 7.81%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.57% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 2 832 переглядів. Протягом першої доби публікація в середньому набирає 570 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 10.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як learning, link:-, description, microsoft, analytic.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“🏆 Learn ChatGPT & Artificial Intelligence 🤖 Learn Python & Data Science 🔰All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML ✌️Follow for quality content amid all the noise in #AI Admin: @coderfun Buy ads: https://telega.io/c/lea...”

Завдяки високій частоті оновлень (останні дані отримано 09 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

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Підписники

+2224 години

+1697 днів

+73430 день

2 832

Перегляди допису

~ 57024 години

~ 79748 годин

7.81%

Коефіцієнт залучення

Немає даних

Дописів на день

Ads index

beta

Архів дописів

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Mistral just open sourced a TTS model! (3 second voice cloning, beats ElevenLabs!!!) Voxtral TTS is a 4B parameter multilingual text-to-speech model. It clones any voice from just 3 seconds of reference audio using a hybrid architecture that combines autoregressive decoding for semantics with flow-matching for acoustics. - 68.4% win rate over ElevenLabs Flash v2.5 - 9 language support with benchmarks - Outperforms ElevenLabs on speaker similarity across all languages - Sub-second latency, 32 concurrent streams on a single H200 - DPO adapted for hybrid discrete-continuous generation Link to the paper and model weights : https://huggingface.co/papers/2603.25551

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🤖 CHATGPT PROMPT FOR ECOMMERCE ✅ Write Product Descriptions

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🔩Claude vs Cursor: Which one is better for vibe-coding? If you want to code fast, prototype ideas, and keep the flow, here’s the simple breakdown. ⚙️ Claude Code • Great at understanding large projects and complex logic. • Helps with architecture, clean code, refactoring, and deep reviews. • Better for long-term, serious projects. • But it works through the terminal, so the workflow is less “instant”. ⚙️ Cursor • Full IDE experience with quick edits, autocompletion, and fast responses. • Perfect for prototyping, experiments, small features, and rapid development. • Super convenient when you want speed and smooth workflow. • But in very large projects it can lose context and be less reliable. What to choose? • For smart, clean, scalable code — choose Claude Code. • For fast vibes, experiments, and quick builds — choose Cursor. Most developers use both: Cursor for speed, Claude for depth.

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🤖 10 new AI tools you cannot miss: 1. Summarize YouTube video eightify.app/ 2. AI Meeting Summarizer Tldv.io 3. Websites in 60 Seconds Durable.co 4. Images and Logo Generator Stockimg.ai 5. User Growth platform for SaaS Cello.so 6. AI ChatBots Maker Dante-ai.com 7. ChatGPT for Whatsapp Yatterplus.in 8. AI tool for Research Paperpal.com 9. AI Tool for Study Beta.monic.ai 10. AI App Store Vondy.com

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🤖 CONTENT CREATION PROMPTS CHEATSHEET 🧠 Use these prompts to generate ideas, write faster, and level up your content game. 🎭 Role - Act as a content strategist - Act as a scriptwriter - Act as a social media manager - Act as a copywriter - Act as a brand voice expert - Act as a content editor 📌 Context - You’re creating for Instagram - You’re writing for LinkedIn - You want viral hooks - You need carousel copy - You’re stuck on ideas - You want to repurpose content 🎯 Task - Create 10 hook ideas - Write a 30-sec script - Turn this into a carousel - Summarize this blog post - Generate a content calendar - Rewrite this caption to boost engagement 🔧 Restrictions - Use short sentences - Avoid fluff - Add real examples - Keep tone friendly - Make it skimmable - Use emojis where helpful 📑 Output Format - Hook list - Carousel outline - Short script - Step-by-step guide - Caption pack - Post + CTA combo 🗂️ Extra Controls - Ask clarifying questions first - Give 3 tone/style options - Show before vs after - Suggest visuals - Add hashtags or CTAs - Provide 3 content angles ✅ Example Prompts 1️⃣ “Act as a content strategist. Create 10 short hooks for a post on [topic], each under 12 words, for beginners using simple language and no filler.” 2️⃣ “Act as a scriptwriter. Turn [topic] into a 30-second short video script with a hook, core idea, and clear takeaway. Use one real example and short sentences.” 3️⃣ “Act as a social media manager. Create a 7-slide carousel outline on [topic] — Slide 1: hook, Slides 2–6: key points with examples, Slide 7: clear action.” 4️⃣ “Act as an editor. Write 5 concise captions for a post on [topic], each under two lines. Use a friendly tone, clear message, and no emojis.” 5️⃣ “Act as a content strategist. Create a 7-day content calendar for [platform] on [topic]. Include one post per day with format and goal specified.” 🔥 Save this for future! 💡 Double Tap ♥️ For More!

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🚀 AI System Builders — finally something serious. A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B AI platform on April 2026. This is NOT: ❌ a freelance marketplace ❌ an agency network This is: ✅ a verified AI builder network If you're accepted, you can offer your AI systems (e.g. Lead Gen, Customer Support, Recruiting Automation) for ~$2,499 setup + monthly maintenance. 👉 You focus on building systems 👉 Brainlancer handles clients & takes 20% --- 💡 If you can build real, end-to-end AI systems (not just prompts), this is for you. --- ⚡ Apply here (form takes 5–7 min): https://assesment.brainlancer.com/?src=tinvite 🎥 Quick overview video (thumbs up 👍): https://www.youtube.com/watch?v=jwhxqB-idsg&t=1s 👤 CEO (LinkedIn): https://www.linkedin.com/in/soner-catakli/ --- Early access is limited.

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5️⃣ ILLEGAL CHATGPT PROMPTS THAT ACTUALLY WORKS For building AI busimesses , creating content, and making money online. 1⃣. BUILD AI AGENCY "Transform into my automation agency founder who identifies 5 repetitive business processes ripe for AI replacement across [target industry]. Analyze inefficiencies, data entry, and service pain points to design AI solutions that save 10+ hours weekly. Create service packages from chatbot integration to full automation, priced by time saved and ROI. Include discovery questions, timelines, and [pricing tier] options that position your agency as the go-to AI efficiency expert." 2⃣. MULTIPLY YOUR CONTENT "Become my viral content multiplier who transforms one [content type] into 15 formats using AI repurposing. Analyze top content across platforms to find which formats drive the most engagement per niche. Build a workflow to extract key insights, quotes, and data from original content, then reshape them into threads, carousels, video scripts, newsletters, and podcast segments. Add platform tips and [audience targeting] brackets so each piece feels native and valuable." 3⃣. CREATE AI COURSE "Channel your inner education entrepreneur who builds a profitable online course teaching [specific AI skill] to busy professionals in 30 days. Research market demand, competitor pricing, and student pain points to design a curriculum with practical results. Structure 8 core modules with hands-on exercises, real-world case studies, and downloadable templates. Include pre-launch validation, pricing psychology, and [bonus material] to boost completion rates and testimonials." 5⃣. BUILD NEWSLETTER BUSINESS "Act as my newsletter strategist who launches a monetized AI-focused newsletter for [specific profession] that hits 1,000 subscribers in 60 days. Study winning formats, engagement patterns, and monetization models to create content busy professionals read and share. Build a calendar with insights, tool reviews and tips. Develop revenue via sponsorships, affiliate deals, and premium subscriptions. Include growth hacks and [content theme] that build loyal readership." 5⃣. BUILD CHATBOT SERVICE "Transform into my specialized chatbot consultant who builds AI assistants for [business type] that boost satisfaction and cut support costs. Analyze common inquiries, response patterns, and escalation triggers to design bots that handle 80% of routine questions. Develop packages for setup, training, integration, and optimization, with ROI metrics and guarantees. Include industry-specific flows and [integration platform] options that drive real business value."

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META proposed new way of training agents Modern AI is still directly dependent on human labeling and human data in general. And there are a lot of problems with this: it's expensive, time-consuming, "data runs out", etc. 🟢 What META done?

They are also convinced that this is essentially a hard ceiling on the path to AGI: if you only train agents on human traces, then the learning boils down to refining human experience. So can we be 100% sure that such systems can learn something outside the distribution and become smarter than us? This is especially true for areas such as coding, which will be discussed further. The researchers proposed Self-Play SWE-RL - a way to train agents so that they can self-improve on their own data. Self-Play SWE-RL consists of two entities: Bug-injector and Bug-solver. The system receives a repository of code, and the Bug-injector studies it, breaks the code, and weakens the tests so that the bug can hide. The task of Bug-solver is obvious: to fix the code, without issue-text, without hints, without ready-made test runners. And if he breaks something in the process, this case also becomes part of the dataset and expands the sample. It's important to understand that these are not just synthetic bugs. Here, the same policy breaks and fixes the code (that is, these are just different roles of one agent). In this sense, the approach somewhat resembles GAN: the solver learns at the expense of the injector becoming smarter, and vice versa. The results are as follows: - Code World Model (CWM) on 32B, which has already passed the sft stage and was trained in this way, achieved +10.4% on SWE-bench Verified and +7.8% on SWE-bench Pro - Compared to conventional RL, this approach gives +2.4% on SWE-bench Verified and +3.6% on SWE-bench Pro

Not a breakthrough, but few pipelines today give such significant increases, so it's quite interesting (but code wasn't provided). •••••••••••••••••••••••••••••••••••••• 🤖 Data Science, ML & Big Data with @DataXplore

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⚙️ Prompt Engineering Roadmap 📂 LLM Fundamentals (Tokens, Context Window, Temperature) ∟📂 Zero-Shot Prompting (Direct Instructions) ∟📂 Few-Shot Prompting (Examples in Prompt) ∟📂 Chain-of-Thought (Step-by-Step Reasoning) ∟📂 Role Prompting ("Act as a Senior Data Scientist") ∟📂 Self-Consistency (Generate Multiple → Vote Best) ∟📂 Tree-of-Thoughts (Explore Multiple Reasoning Paths) ∟📂 Generated Knowledge (Research Before Answering) ∟📂 Retrieval Augmented Generation (RAG) ∟📂 Automatic Prompt Optimization ∟📂 Structured Output (JSON, YAML, Tables) ∟📂 Multi-Turn Conversations (Memory/Context Management) ∟📂 Advanced Techniques (ReAct, Reflexion, DSP) ∟📂 Tools & Evaluation (Promptfoo, LangSmith) ∟📂 Projects (Build Prompt Library, A/B Test Prompts) ∟✅ Apply for Prompt Engineer / AI Specialist Roles 💬 Tap ❤️ for more!

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✅ Chat & AI Important Concepts You Should Know 🤖💡 🧠 Core Chat Concepts - Chat → An AI chatbot that generates human-like responses using large language models. - Large Language Model (LLM) → AI model trained on massive text datasets to understand and generate language. - Generative AI → AI that creates new content like text, images, code, and videos. - Prompt → The input or instruction given to AI. - Prompt Engineering → Designing prompts to get better AI responses. ⚙️ How Chat Works - Token → Small units of text used by AI models to process language. - Context Window → The amount of text the AI can remember in a conversation. - Training Data → Large datasets used to train AI models. - Fine-Tuning → Training a pre-trained model with additional specific data. - Inference → The process where the trained AI generates responses. 🤖 AI Capabilities in Chat - Text Generation → Writing articles, emails, summaries. - Code Generation → Writing and debugging code. - Content Creation → Blogs, scripts, marketing copy. - Data Analysis → Analyzing datasets and generating insights. - AI Assistants → Virtual assistants for productivity. 🧩 Advanced AI Concepts - Embeddings → Converting text into numerical vectors for AI understanding. - Vector Database → Database used to store embeddings for fast AI search. - Retrieval-Augmented Generation (RAG) → AI retrieves external data before generating answers. - AI Agents → AI systems that can perform tasks autonomously. - Multimodal AI → AI that understands text, images, audio, and video. ⚠️ Limitations of Chat - Hallucination → AI generating incorrect information confidently. - Bias → AI reflecting biases from training data. - Context Limit → AI cannot remember unlimited conversation history. - Data Freshness → AI knowledge may not always be real-time. 🚀 Popular Chat Use Cases - Content writing - Coding assistance - Data analysis - Customer support chatbots - Research & summarization 🔥 Pro Tip The people who will benefit most from AI are not the ones who fear it — but the ones who learn how to use it effectively. 💬 Double Tap ♥️ For More

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✅ Useful AI Tools You Should Know 🤖💻 🎙️ Voiceovers & AI Music 1️⃣ ElevenLabs 2️⃣ Speechma 3️⃣ Natural Readers 4️⃣ Suno AI 🎥 Video AI Tools 5️⃣ Kling AI 6️⃣ HaizouAI Minimax 7️⃣ Pika Labs 8️⃣ RunwayML 9️⃣ Heygen AI 🔟 OpenMagic 🖼️ Image Creation 1️⃣2️⃣ Midjourney AI 1️⃣3️⃣ Leonardo AI 1️⃣4️⃣ Microsoft Image Creator 1️⃣5️⃣ Ideogram 1️⃣6️⃣ Rendernet AI 1️⃣7️⃣ Dzine AI 1️⃣8️⃣ Krea AI 1️⃣9️⃣ Freepik AI 📊 Presentation Tools 2️⃣1️⃣ Tome AI 2️⃣2️⃣ Scribe AI 2️⃣3️⃣ Gamma AI 🎨 Graphic Design & Image Editors 2️⃣4️⃣ Canva 2️⃣5️⃣ Kittl 2️⃣6️⃣ Photopea 2️⃣7️⃣ ImgUpscaler 🛠️ Multipurpose AI Tools 2️⃣8️⃣ Grok AI 2️⃣9️⃣ DeepSeek AI 3️⃣0️⃣ Perplexity AI 3️⃣1️⃣ Google AI Studio 🌐 AI Website Builders 3️⃣2️⃣ 10Web 3️⃣3️⃣ ChatSimple 3️⃣4️⃣ N8N 3️⃣5️⃣ Zapier 3️⃣6️⃣ ChatBase 🏢 AI Tools for Businesses 3️⃣7️⃣ Notion 3️⃣8️⃣ BeaconsAI 3️⃣9️⃣ Beehiiv 💬 Tap ❤️ for more!

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🚀 Join Sber500 Batch 7 — Free International Accelerator for Startups Want to scale your startup or launch a pilot with a corporation? Sber500 is now accepting applications for Batch 7. Who should apply: ✅ Startups with MVP and early traction ✅ DeepTech teams: GenAI, robotics, advanced materials, photonics, quantum computing, autonomous transport ✅ International founders exploring the Russian market What you'll get: 1️⃣ 12-week online program in English — strengthen product strategy and business model 2️⃣ International mentors — serial founders, VC partners, corporate executives from Europe, US, Asia, Middle East 3️⃣ Access to investors & corporations — 25 best teams work directly with funds and potential customers 4️⃣ Demo Day at Moscow Startup Summit — fall 2026, present to wider audience 5️⃣ Long-term community — work on growth and deals continues after program ends Results that speak: 📈 Revenue grows 4x on average after program 🚀 Some teams scale up to 1,000x 🤝 10,900+ contracts and pilots with corporations (6 seasons) Previous international teams from: India, South Korea, Armenia, China, Turkey, Algeria and other contries Program stages: 🔹 Stage 1: Online bootcamp for 150 teams 🔹 Stage 2: 25 best teams selected for intensive mentorship 🔹 Stage 3: Demo Day at Moscow Startup Summit 📅 Application deadline: 10 April 2026 💰 Participation: Free of charge 👉 Apply now #Startup #Accelerator #Sber500 #DeepTech #GenAI #Founders #VentureCapital

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Top 100 Claude AI Tips ❤️ Follow AIJobs for more AI drops

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🤖 ChatGPT Best Practices. Save it for Later.

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🤖 CHATGPT PROMPT FOR ECOMMERCE ✅ Write Product Descriptions

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✍️ 8 ChatGPT prompts to use when you need a spark of inspiration Use those prompts as a starting point to move forward when you are at a dead end or have lost your way: 1. Improve your decision making 💡 Prompt:

I am trying to decide if I should [insert decision]. Give me a list of pros and cons that will help me make this decision.

2. Learn from the best 💡 Prompt:

Analyze the top performers in [insert your field of work]. Give me a list of the most important lessons I can learn from them to boost my productivity.

3. Your personalized tutor 💡 Prompt:

I am currently learning about [insert topic]. Ask me a series of questions that will test my knowledge. Identify knowledge gaps in my answers and give me better answers to fill those gaps.

4. ChatGPT as your intern 💡 Prompt:

I am creating a report about [insert topic]. Research and create an in-depth report with a step-by-step guide that will help readers understand how to [insert outcome].

5. Learn any new skill 💡 Prompt: I want to learn [insert skill]. Generate a 30 day plan that will help a beginner like me learn the skill from scratch. 6. Learn faster than ever with the 80/20 technique 💡 Prompt:

I want to learn about [insert topic]. Identify and share the most important 20% of learnings from this topic that will help me understand 80% of it.

7. Get ChatGPT to write prompts for you 💡 Prompt:

I am a/an [insert your profession]. Generate a list of most powerful prompts that will help someone in my profession get more done and save time.

8. Rewrite and simplify complex texts 💡 Prompt:

Rewrite the text below in simple and easy to understand words. Simple and easy enough for anyone who doesn't know the subject to understand what I'm trying to say.

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🔴 How to MASTER a programming language using ChatGPT: 📌 1. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 2. What are some commonly asked interview questions about [lang]? 3. What are the advanced topics to learn in [lang]? Explain them to me with code examples. 4. Give me some practice questions along with solutions for [concept] in [lang]. 5. What are some common mistakes that people make in [lang]? 6. Can you provide some tips and best practices for writing clean and efficient code in [lang]? 7. How can I optimize the performance of my code in [lang]? 8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts? 9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively? 10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues? 11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]? 12. How can I effectively collaborate with other developers in [lang] on a project? 13. What are some common data structures and algorithms that I should be familiar with in [lang]? How to Create Resume using ChatGPT 👇👇 https://t.me/free4unow_backup/687 Master DSA 👇👇 https://t.me/dsabooks/156

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🧠 Anthropic released a complete guide to Skills in Claude Anthropic just published an official, in-depth guide on how to build Skills for Claude, a way to turn the model into a reliable, repeatable workflow tool instead of a one-off chatbot. What are Skills? Skills are packaged instructions and processes. You define a workflow once, and Claude executes it consistently and predictably every time. What the guide covers: • Skill structure and technical requirements, including how SKILL.md works • Patterns for autonomous Skills and for combining Skills with MCP (the standard for connecting AI to external APIs and services) • How to test, refine, and share Skills • Examples of well-written instructions for real-world use cases Who this is for: Perfect if you use Claude for analytics, writing, research, customer support, or any other repetitive task and want stable results instead of prompt tweaking. With Skills, Claude can generate reports from multiple sources, produce documents from templates, run structured research, or reliably interact with your APIs through MCP, all with one click. ➡️ Read the full guide https://websitemain.claude.com/blog/complete-guide-to-building-skills-for-claude Follow @ainews_daily for more quality AI insights!