Save your money! 💸 Check out these Free alternatives to top AI TOOLS! . #Claude2 - Free #chatgpt alternative with 2023 Updated Data. #BlueWillo- Free Alternative to @midjourney .Microsoft Deignser - Free Alternative to @canva .Google Docs AI - #1 @NotionHQ Free alternative

🌐 “The Future of Tech Unfolds Here – Don’t Miss @GITEX_GLOBAL 2025!” 🌐. 📅 Oct 13–17, 2025 . 📍 Dubai World Trade Centre & Dubai Harbour.🎯 Organizer: GITEX GLOBAL – The World’s Largest Tech & Startup Show. 🚀 200,000+ tech leaders, AI experts & innovators. 40+ massive halls.

Blazing-fast image creation – using just your voice. Try Grok Imagine.

AI won’t replace great developers. But devs using AI will replace those who don’t. Start building 10x faster one tool at a time. Which one are you trying first? 👇. #AItools #Developers #Coding #AIinDev #100DaysOfCode #aimojo

6. Keras.Build deep learning models—without getting buried in TensorFlow. Clean, high-level APIs + powerful flexibility. 🔗

5. AskCodi.Stuck on a problem?.AskCodi explains code, finds bugs, and generates snippets in seconds. 🔗

4. Voilà.Turn natural language into code. Explain what you want in plain English—Voilà writes the logic. Best for quick prototyping. 🔗

3. Codametrix.Code smarter, not harder. Codametrix helps automate testing, documentation, and optimization using AI prompts. 👉

2. Tabnine.Trusted by over 1M+ devs, Tabnine suggests entire lines of code using context-aware AI ideal for pros and beginners alike. 👉

1. SuperCoder.Struggling with repetitive code? SuperCoder helps you auto-complete, refactor, and debug faster with AI. 👉

🚨 Stop Wasting Hours Writing Code Manually. AI coding assistants are changing the game for developers saving time, boosting productivity, and even helping you learn faster. Here are 6 powerful AI tools every coder should know in 2025 👨🏻‍💻👇

Struggling to remember n8n workflows? This helps. If you're new to n8n or often find yourself searching for how certain nodes, triggers, or expressions work, this cheat sheet by Ambassador Inyoung Lee is for you. It covers everything from setting up basic workflows to using AI

The world isn’t waiting for AI. It’s already scaling it. On October 17, the global AI community converges in Metro Manila for AIR Summit 2025 a high level forum built for leaders shaping the future of artificial intelligence. From generative AI to governance, this isn’t just

🔥 "Finance is Evolving Fast! Be Part of the Revolution at 'GenAI & HyperAutomation 2025' in Chicago!" 🔥. 📅 Date: 16 October 2025.📍 Venue: Chicago, IL, USA.📋 Organizer: @kinfos_events . Join HAF 2025 to explore cutting-edge innovation, connect with top industry leaders, dive

Which drop impressed you most?. Was it OpenAI’s agent ambitions, Qwen2’s open release, or Microsoft’s AgentTuning?. Visit : #OpenAI #GoogleAI #NVIDIA #Claude #Qwen2 #AgentTuning #LLM #ArtificialIntelligence #AI #aimojo

7/ Microsoft Research introduces AgentTuning. A step beyond standard fine-tuning. It helps LLMs reason across tools, follow plans, and act independently, making AI agents more reliable. @AnthropicAI

6/ Alibaba Unveils Open-Source Qwen2 with Powerful Capabilities. Qwen2 is available in five model sizes, supports up to 128K context tokens, and ranks highly on key benchmarks. It's fully open for both research and commercial use. @Alibaba_Qwen

5/ Anthropic’s Claude AI Levels Up. Claude 2.1 now handles 200K context with improved accuracy and memory. They’re also working on Constitutional AI to align models with human intentions more safely. @claudeai

4/ OpenAI is getting weird and smarter. They’re exploring AI agents that can reason, navigate the web, and take action, not just chat. This signals a clear shift from static models to interactive AI agents.@OpenAI

3/ NVIDIA’s Next-Level AI Foundation Models. NVIDIA has introduced Nemotron-4, a powerful open-source model built for generating synthetic data designed to make training smaller, task-specific models more efficient. @nvidia

2/ Google’s new AI infrastructure update:. They revealed supercharged TPU v5p and announced a training scale upgrade with Gemini 1.5 on 500,000+ TPU chips. This could change how fast and large AI models are trained. @googleaidevs

Google DeepMind’s Gemini 1.5 Gets a Power Boost.Gemini 1.5 Pro now supports:.2 million token context for ultra-long inputs.✅Improved code generation & reasoning.✅Better performance in chat-style tasks.✅Still in preview via AI Studio & Vertex AI.@Google