Vidnoz AI offers a powerful platform for creating videos quickly and cost-effectively, enhancing engagement and increasing return on investment (ROI). With features like realistic AI avatars, voice cloning, and a wide selection of templates, users can generate high-quality videos for various purposes such as education, marketing, and customer service. The platform's user-friendly interface and robust support system also help non-specialists, making it accessible for diverse applications across organizations. Now lets compare this platform with th eother powerful competitive options ... Heygen, veed.io and Invideo 🔍 Features: Vidnoz AI: Over 1500 AI avatars, 1830 voice options, and multi-language support (140+ languages) make voices come alive! Perfect for engaging educational content. Veed.io: Excellent for real-time collaboration and intuitive edits, but lacks the variety of AI avatars found in Vidnoz. Heygen: Focused on avatar realism, but with fewer customization options compared to Vidnoz’s extensive library. InVideo: Great for customizable templates and stock media, but can be overwhelming for beginners lacking guidance. 💰 Pricing: Vidnoz AI: Offers a free tier with essential features and a competitive pro subscription that unlocks advanced tools. Veed.io: Higher pricing tiers but very effective for teams in need of collaborative features. Heygen: Similar pricing to Vidnoz but with limited features at entry-level plans. InVideo: Affordable options available, but extra fees for premium assets may add up. 💡 Conclusion: Vidnoz AI stands out with its diverse options and affordable pricing, catering to both casual creators and professionals. https://vidnoz.com/ #VidnozAI #AIavatars #voicecloning #videoediting #videomarketing #AIvideo #Heygen #Veedio #Invideo #educationalcontent #marketingvideos #customerservice #AItools #videoengagement #ROI #AIVideoGeneration #texttospeech #avatarmarketing

Post by Rakesh GohelRakesh Gohelon Linkedin Learning AI Agents in 2025 (free resources) https://www.linkedin.com/posts/rakeshgohel01_learning-ai-agents-can-uplift-your-entire-activity-7352317097898594306-gOH0 -------------------------------------------------------------- Learning AI Agents can uplift your entire career in 2025 If you don't know where to start, here are my Fav 15+ resources... This is part 3 of my AI Agent explained series, where I bring you the best AI Agent resources to learn AI Agents. Let's get into it, and you can out parts 1 and 2 in the comments: 📌 YouTube Videos: 1. AI Agent for Beginners by Microsoft - https://lnkd.in/gWzCe8dY 2. Intro to AI Agents by Google Cloud - https://lnkd.in/gP2MHDWk 3. What are AI Agents? by IBM - https://lnkd.in/g2e3uZhM 📌 Free Courses: - OpenAI Academy: Building AI Agents and Assistants https://lnkd.in/g-eKfayR - 9+ Free courses divided as per experience: https://lnkd.in/gE6aaKmQ 📌 Reports: 1. Thomson Reuters: Agentic AI 101 https://lnkd.in/gbcFwkHN 2. Google: Agents Whitepaper https://lnkd.in/gAe3RdWB 3. OpenAI: Practical Guide on Building AI Agents https://lnkd.in/gBp48Frb 4. Anthropic: Building Effective AI Agents https://lnkd.in/gXCVR_bu 5. Galileo: Mastering AI Agents https://lnkd.in/g669eHdn 📌 Blogs and CookBooks: 1. MongoDB - Demystifying AI Agents: A Guide for Beginners https://lnkd.in/gkxX7ibZ 2. IBM - Introduction and in-depth explanation of AI Agents https://lnkd.in/gxddjuuk 3. Hugging Face - AI Agents Course Full in-depth Cookbook https://lnkd.in/gbSvEEvB 4. N8N - Basics of AI Agent guide with practical examples https://lnkd.in/gF95y-mm These resources are super helpful if you are just starting with AI Agents or know a thing or two. However, if you want to learn about the strategies, mindset , and detailed breakdown of enterprise AI Agent Development. We just released a detailed cohort that will help you achieve that. 🔗 Enroll here: https://lnkd.in/gA3zhcfm The book includes all the details you need to learn AI Agents, as well as our 5-level Agent progression framework for business leaders. 🔗 Book info: https://amzn.to/4irx6nI Save 💾 ➞ React 👍 ➞ Share ♻️ #aiagents #ai #agenticai #openai #googleai #anthropic #microsoftai #ibm #huggingface #mongodb #n8n #machinelearning #automation #airesources #learningai #2025 #freecourses #aireports #aiblogs #aicookbook

The European Commission has recently released guidelines aimed at clarifying the obligations for providers of general-purpose AI (GPAI) models under the upcoming AI Act (https://digital-strategy.ec.europa.eu/en/news/learn-more-about-guidelines-providers-general-purpose-ai-models ). These guidelines are intended to ensure that these AI models adhere to principles of transparency and comply with EU and national copyright laws (https://digital-strategy.ec.europa.eu/en/policies/guidelines-gpai-providers ). One of the key focuses of the guidelines is the assessment and mitigation of systemic risks associated with the deployment of advanced GPAI models, particularly those that could have significant societal impacts (https://artificialintelligenceact.eu/providers-of-general-purpose-ai-models-what-we-know-about-who-will-qualify/ ). By providing a clear framework, the Commission aims to offer legal certainty for all stakeholders involved in the AI value chain, detailing when and how these obligations will apply (https://bdva.eu/news/ec-released-guidelines-for-providers-of-general-purpose-ai-models/ ) (https://eulawlive.com/commission-publishes-guidelines-for-providers-of-general-purpose-ai-models-to-meet-ai-act-obligations/ ). Overall, the guidelines represent a crucial step in regulating AI technologies within the EU, fostering responsible development while addressing potential risks associated with their use (https://www.integrin.dk/2025/07/19/assisting-general-purpose-ai-models-providers-new-guidelines/ ). #GPAI #AIACT #EuropeanCommission #AIregulation #AIgovernance #SystemicRisk #Transparency #CopyrightLaw #LegalCertainty #ResponsibleAI #EUAIAct #AICompliance #AIethics

What is Context Engineering ? The Context Engineering Framework is a comprehensive framework for creating interconnected documentation systems that enable AI agents to understand, implement, and maintain complex software projects with precision and context awareness. It provides a structured approach to managing project documentation, ensuring that all specifications stay consistent and interconnected throughout the development process. Main Function Points - Establishes a complete documentation system with interconnected documents - Ensures progressive disclosure of information from strategic to tactical to operational levels - Implements verification-driven development with testable acceptance criteria for requirements - Provides a phased implementation approach with clear separation between current scope and future enhancements - Offers a quick implementation pattern with document interconnectedness notices - Includes ready-to-use document templates and step-by-step implementation guides https://github.com/mihaicode/context-engineering-framework https://github.com/Meirtz/Awesome-Context-Engineering #ContextEngineering #AIagents #DocumentationSystems #SoftwareProjects #KnowledgeManagement #InformationArchitecture #InterconnectedDocs #VerificationDriven #TestableRequirements #ProjectManagement #GitHub #mihaicode #Meirtz #Confluence #Notion #Docusaurus #MkDocs

Microsoft offers a variety of resources and courses for beginners interested in AI agents. Their learning platform, Microsoft Learn, provides structured modules that cover the basics of AI and how to build intelligent agents using tools like Azure Cognitive Services and Bot Framework . These courses are designed to help newcomers understand key concepts in AI, including natural language processing and machine learning . Additionally, Microsoft has created hands-on labs and tutorials that guide users through the process of developing their own AI applications . This practical approach not only enhances learning but also equips beginners with the skills needed to implement AI solutions in real-world scenarios . Overall, Microsoft's commitment to education in AI ensures that aspiring developers have access to comprehensive resources to kickstart their journey into the world of AI agents. https://microsoft.github.io/ai-agents-for-beginners/ https://microsoft.github.io/AI-For-Beginners/ https://github.com/microsoft/ai-agents-for-beginners #microsoftlearn #aieducation #aiagents #azurecognitiveservices #botframework #nlp #machinelearning #aimicrosoft #airealworld #ai #aiagentsforbeginners #hands-onlabs #aitutorials #googlecloudai #awsai #cortana

Sabrina Ramonov 🍄 The ULTIMATE AI Coding Guide for Developers (Claude Code) Here's my CLAUDE.md file, which you can ask AI to tailor to your codebase. You can also use this in Cursor Rules. https://www.sabrina.dev/p/ultimate-ai-coding-guide-claude-code

Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ... Now back to Kimi AI the chinese controversial release: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. Key Features Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability. MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up. Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving. Model Variants Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions. Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking. https://github.com/MoonshotAI/Kimi-K2 https://www.moonshot.ai/ https://platform.moonshot.ai/docs/introduction#text-generation-model https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide) #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends

Cheers to another viral Prompt Post : PROMPT: You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms. ## THE 4-D METHODOLOGY ### 1. DECONSTRUCT - Extract core intent, key entities, and context - Identify output requirements and constraints - Map what's provided vs. what's missing ### 2. DIAGNOSE - Audit for clarity gaps and ambiguity - Check specificity and completeness - Assess structure and complexity needs ### 3. DEVELOP - Select optimal techniques based on request type: - **Creative** → Multi-perspective + tone emphasis - **Technical** → Constraint-based + precision focus - **Educational** → Few-shot examples + clear structure - **Complex** → Chain-of-thought + systematic frameworks - Assign appropriate AI role/expertise - Enhance context and implement logical structure ### 4. DELIVER - Construct optimized prompt - Format based on complexity - Provide implementation guidance ## OPTIMIZATION TECHNIQUES **Foundation:** Role assignment, context layering, output specs, task decomposition **Advanced:** Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization **Platform Notes:** - **ChatGPT/GPT-4:** Structured sections, conversation starters - **Claude:** Longer context, reasoning frameworks - **Gemini:** Creative tasks, comparative analysis - **Others:** Apply universal best practices ## OPERATING MODES **DETAIL MODE:** - Gather context with smart defaults - Ask 2-3 targeted clarifying questions - Provide comprehensive optimization **BASIC MODE:** - Quick fix primary issues - Apply core techniques only - Deliver ready-to-use prompt ## RESPONSE FORMATS **Simple Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **What Changed:** [Key improvements] ``` **Complex Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **Key Improvements:** • [Primary changes and benefits] **Techniques Applied:** [Brief mention] **Pro Tip:** [Usage guidance] ``` ## WELCOME MESSAGE (REQUIRED) When activated, display EXACTLY: "Hello! I'm Lyra, your AI prompt optimizer. I transform vague requests into precise, effective prompts that deliver better results. **What I need to know:** - **Target AI:** ChatGPT, Claude, Gemini, or Other - **Prompt Style:** DETAIL (I'll ask clarifying questions first) or BASIC (quick optimization) **Examples:** - "DETAIL using ChatGPT — Write me a marketing email" - "BASIC using Claude — Help with my resume" Just share your rough prompt and I'll handle the optimization!" ## PROCESSING FLOW 1. Auto-detect complexity: - Simple tasks → BASIC mode - Complex/professional → DETAIL mode 2. Inform user with override option 3. Execute chosen mode protocol 4. Deliver optimized prompt **Memory Note:** Do not save any information from optimization sessions to memory. https://x.com/minchoi/status/1940251593431257164 #Lyra #AIPromptOptimization #PromptEngineering #ChatGPT #Claude #Gemini #AIMastery #PromptDesign #AItools #PromptTechniques #NLP #AIassistance

Anthropic Academy - Build with Claude Start developing Claude-powered applications with our comprehensive API guides and best practices https://www.anthropic.com/learn/build-with-claude What you learn (Explore by topic) - Claude 4 Learn how to harness the intelligence and capability of our latest models, Claude Sonnet 4 and Claude Opus 4 - APIs & SDKs Learn about Anthropic's APIs, SDKs, and other development tools - Agents Build autonomous agents and agentic systems that understand, plan, and execute complex tasks - Model Context Protocol (MCP) Build advanced applications with the Model Context Protocol - Claude Code Speed up your development with Claude Code - Tool use Extend Claude's capabilities by connecting to external tools and APIs - Extended thinking Improve Claude's ability to solve complex tasks by allowing it to reason - Retrieval augmented generation (RAG) Build effective RAG systems to enhance Claude's responses with external data - Prompt engineering Create effective prompts that maximize Claude's performance - Evaluations Test and improve Claude's performance with structured evaluations - Prompt caching Optimize performance and reduce costs by reusing Claude's responses - Vision Harness Claude's ability to understand and analyze visual information - Computer use Learn how to use Claude models to interact with a computer desktop environment - Hackathon hacker guide Resources to help you get started with Claude, whether you're hacking with us at an event or on your own

On July 1st Replit announced three new capabilities that bring Dynamic Intelligence to Replit Agent. With this advancement, the Agent gains enhanced context awareness, iterative reasoning, and autonomous, goal-driven behavior—enabling it to adapt in real time, navigate complex tasks, and deliver complete solutions with minimal guidance. These three new capabilities are: Extended thinking: Instructs the Agent to slow down and think more deeply, producing more thorough solutions—while showing parts of its step-by-step reasoning before giving the final result. High power model: Increases the Agent’s accuracy by using a more capable AI model Web Search: Enables the Agent to perform intelligent web searches based on your request to fill knowledge gaps https://youtu.be/1JPvi48oVY8?si=4quo0BKQ762UBiYQ #ReplitAgent #Replit #DynamicIntelligence #AI #AIModel #WebSearch #ExtendedThinking #AICoding #AIDevelopment #AutonomousAgent #CodingAssistant #GitHubCopilot #CursorAI

Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen): Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration. https://github.com/BeehiveInnovations/zen-mcp-server #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving

What is Claudia UI and what can it do for your Vibe Coding ? Claudia is a powerful desktop application that transforms how you interact with Claude Code. It provides a beautiful GUI for managing your Claude Code sessions, creating custom agents, tracking usage, and much more. Claudia serves as a command center for Claude Code, bridging the gap between the command-line tool and a visual experience that makes AI-assisted development more intuitive and productive. Main Function Points - Visual Project Browser: Navigate through all your Claude Code projects - Session History: View and resume past coding sessions with full context - Custom AI Agents: Create specialized agents with custom system prompts and behaviors - Usage Analytics Dashboard: Monitor your Claude API usage and costs in real-time - MCP Server Management: Manage Model Context Protocol servers from a central UI - Timeline & Checkpoints: Create checkpoints at any point in your coding session and navigate through your session history - CLAUDE.md Management: Edit CLAUDE.md files directly within the app with live preview and syntax highlighting https://github.com/getAsterisk/claudia #ClaudiaUI #ClaudeCode #GUI #DesktopApp #AIAssistant #AICoding #VisualIDE #SessionManagement #UsageAnalytics #CustomAIagents #MCPserver #TimelineCheckpoints #CLAUDEmdfiles #OpenAI #CursorAI #GitHubCopilot #AIdevelopment #ProductivityTools