Introducing MeiGen AI's "MultiTalk" , a novel framework for audio-driven multi-person conversational video generation. Given a multi-stream audio input, a reference image and a prompt, MultiTalk generates a video containing interactions following the prompt, with consistent lip motions aligned with the audio. 💬 ​​Realistic Conversations​​ - Support single & multi-person generation 👥 ​​​​Interactive Character Control​​​​ - Direct virtual humans via prompts 🎤 ​​​​Generalization Performances​​​​ - Support the generation of cartoon character and singing 📺 ​​​​Resolution Flexibility​​​​: 480p & 720p output at arbitrary aspect ratios ⏱️ Long Video Generation: Support video generation up to 15 seconds Check out some of the video generations here : https://github.com/MeiGen-AI/MultiTalk You can try it out here on Huggin Face: https://huggingface.co/spaces/fffiloni/Meigen-MultiTalk Or check out more projects by MieGen AI here: https://github.com/MeiGen-AI

N8N Beginner Course from N8N official Youtube https://www.youtube.com/watch?v=4BVTkqbn_tY&ab_channel=n8n An introduction to automation highlights its importance for data-driven decisions, reducing human error, and improving efficiency. Key concepts include triggers, filtering, actions, and workflows. Mapping processes before automation is essential for feasibility and understanding. The course aims to equip beginners with foundational knowledge for building effective automation workflows. N8N Advanced Course from N8N official Youtube https://www.youtube.com/watch?v=TFTLMQLozCI&ab_channel=n8n This video introduces n8n's advanced course, focusing on complex data flows. It explains node execution order, how to split and merge branches using if and switch nodes, and the merge node's functionalities. Additionally, it covers the loop over items node for handling large data sets and API rate limits, enhancing workflow efficiency. Resources: ❔ Need help or want to discuss the course? Join the conversation on our forum: https://community.n8n.io/t/beginner-course-1-9-introduction-to-automation/48589 🛠 Workflow templates: https://n8n.io/workflows/ 📚 Documentation: https://docs.n8n.io/ #n8n #automation #workflowautomation #lowcode #nocode #integration #dataflows #ifnodes #switchnodes #mergenodes #loopoveritems #apilimits #zapier #make #automatetheworld

Agnes AI is a versatile artificial intelligence platform designed to enhance productivity and collaboration in various professional settings. It offers a prospecting system that utilizes AI to identify and qualify potential clients through personalized automated interactions (https://agnesai.app/ ). Additionally, Agnes AI serves as a collaborative workspace tool, enabling teams to create documents, slides, and reports efficiently with smart content suggestions and real-time co-editing capabilities (https://www.producthunt.com/products/agnes-ai ) (https://www.producthunt.com/posts/agnes-ai ). The platform has recently introduced innovative features like an AI-powered slide creation tool, which aims to streamline presentation development (https://www.linkedin.com/company/agnesaisapiens ). Furthermore, Agnes AI is positioned as a next-generation unsupervised AI platform that excels in processing and making sense of unstructured data at scale, catering to the needs of modern businesses (https://x.com/agnesintel ). Overall, Agnes AI combines advanced AI functionalities to support team workflows and enhance client engagement across various industries. https://agnes-ai.com/ #AgnesAI #AI #ArtificialIntelligence #ProductivityTool #CollaborationTool #Prospecting #LeadGeneration #SlidesAI #GoogleWorkspace #UnstructuredData #AutomatedMarketing #Salesforce #HubSpot #CRMAI #Teamwork #DigitalTransformation #Innovation

VibeTest encompasses a range of tools and platforms focused on enhancing interactions with AI and automating quality assurance (QA) testing for websites. One of the primary offerings is VibeTest.io, which specializes in teaching prompt engineering. This platform provides hands-on coding challenges that help users effectively communicate with AI systems such as Claude and GPT-4, aiming to improve the transformation of code through better prompts (https://vibetest.io/ ) (https://github.com/browser-use/vibetest-use ). On the other hand, the Vibetest MCP (Multi-Channel Platform) servers automate QA testing by deploying AI agents to identify various website issues, including UI bugs, broken links, and accessibility problems. This system is designed to streamline the testing process by launching multiple browser agents that crawl and evaluate web pages for technical flaws (https://apidog.com/blog/vibetest-use-mcp/ ) (https://www.mcpworld.com/en/detail/9ab49d16442b62a5e1ec9de97e05726d ). The Vibetest-use MCP server specifically focuses on these automated testing capabilities, emphasizing its efficiency in detecting and flagging potential issues (https://github.com/luk1337/VibeTest ). Overall, VibeTest is at the intersection of AI prompt engineering and automated web testing, providing valuable resources for both developers looking to enhance their AI interactions and teams aiming to ensure the quality of their web applications. https://vibetest.io/enterprise https://vibetest.io/ #VibeTest #PromptEngineering #QAAutomation #AITesting #WebTesting #VibeTestIO #Claude #GPT4 #MCP #Selenium #Cypress #AccessibilityTesting #UIBugs #BrokenLinks #AutomatedTesting

The Prompt Report: A Systematic Survey of Prompting Techniques "The Prompt Report," is the result of an extensive study analyzing over 1,500 academic papers on prompting conducted by a team of researchers from leading institutions. It introduces a structured taxonomy of 58 prompting techniques organized into six categories, highlighting effective strategies such as Few-Shot and Chain-of-Thought prompting. Additionally, the report discusses the importance of In-Context Learning and assesses the performance of various prompting techniques while offering insights into future challenges and developments in human-AI interactions. Key Points - A systematic analysis resulted in the creation of "The Prompt Report," detailing over 58 prompting techniques within a comprehensive 80-page document. - The report categorizes prompting techniques into six problem-solving areas, enabling users to identify and apply the best methods for their tasks. - In-Context Learning (ICL) allows language models to perform tasks based on examples within prompts, emphasizing the power of Few-Shot techniques. - Effective prompt design hinges on various factors including the quality, quantity, and format of examples used in prompts. - Benchmarking results reveal Few-Shot Chain-of-Thought techniques as superior for reasoning tasks, while Self-Consistency is less effective than anticipated. - Comparisons show that AI-driven prompt engineering tools can outperform manual efforts, highlighting advancements in automated prompting techniques. - The report addresses future challenges in prompting, including prompt drift, multilingual applications, and integrating multimodal inputs. https://learnprompting.org/blog/the_prompt_report https://huggingface.co/papers/2406.06608 https://www.researchgate.net/publication/381318099_The_Prompt_Report_A_Systematic_Survey_of_Prompting_Techniques #PromptReport #PromptEngineering #InContextLearning #FewShotLearning #ChainOfThought #PromptingTechniques #AI #NLP #LanguageModels #HumanAIInteraction #PromptDrift #MultilingualAI #LearnPrompting #AISurvey #PromptTaxonomy #SelfConsistency #PromptTools

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes. n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively. Main Function Points - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes - Offers a range of tools for node discovery, configuration, validation, and workflow management - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ https://www.n8n-mcp.com/ https://github.com/czlonkowski/n8n-mcp #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT

AgentLocker, which serves as a directory of AI agents, showcasing a diverse range of automated solutions tailored for various needs. Highlighted are AI tools for enhancing digital marketing, optimizing content creation, automating customer interactions, and facilitating project management. The platform aims to empower businesses by streamlining operations and leveraging artificial intelligence across numerous applications. Key Points - AgentLocker provides a comprehensive directory of AI agents designed to fulfill various business needs. - Featured AI tools include automated SEO writing, AI-driven voice agents, and content translation services. - The platform offers innovative solutions like document translation, performance optimization for SEO, and autonomous headhunting. - AI agents like ACME.BOT enable businesses to streamline content creation and digital marketing efforts. - Intelligent tutoring systems and personalized nutrition assistants reflect the diversity of applications in the education and health sectors. - Automation tools for sales development and staffing enhance operational efficiency for agencies. - AgentLocker also highlights independent features such as task management systems and web automation platforms to improve productivity. https://www.agentlocker.ai/

Why Stagehand? Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production. Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do. Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens. Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code. https://www.stagehand.dev/ https://github.com/browserbase/stagehand https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping

How to get N8N workflow templates (Free and Paid) n8n offers a vast library of automation workflow templates, exceeding 3000, created by a global community. These templates are designed to simplify automation tasks. Creators, like David Ashby, contribute to the available templates. These templates can be readily used to automate a range of tasks, making it easier to integrate and automate various processes and workflows. There are free and paid. And now remember when they popped up a couple of sites sellign Prompts ??? Well now we selling N8N workflow templates. Checkout n8nmarket - n8nMarket.com is a marketplace specializing in n8n workflow templates. It connects automation experts with businesses seeking to automate their processes by providing a platform where template creators can offer their solutions to potential buyers. The platform focuses on facilitating the connection between creators and buyers without handling sales transactions or reviewing templates. https://n8n.io/workflows/ https://n8nmarket.com/ #n8n #n8nworkflows #n8nmarket #automation #workflowtemplates #nocode #lowcode #ipaas #zapier #make #integromat #davidashby #businessautomation #processautomation #templatesmarketplace

How l switched back to Augment Code from Claude Code ! Tried new Claude Code ... verdict: Worth every penny love the little to-do lists but hell lot expensive ! So what do l do l head back home to the loving arms of Augment Code ... still the best and always will be ! (For now 🤫 ... you know relationships nowadays) So this article exaplins why they are nota big fan of Model Pickers ... makes sense though would be great to have the ooption still !). Here is a low done on Augment code and its recent updates: Augment Code is considered a top AI coding agent due to its advanced context engine, which enables personalized and efficient code generation, and its seamless integration with popular IDEs. It also boasts features like memory persistence, which allows it to adapt to individual coding styles, and Multi-Context Programming (MCP) for connecting to various tools and systems, enhancing its utility in the development workflow. Here's a more detailed breakdown of why Augment Code stands out: 1. Contextual Awareness and Memory: Context Engine: Augment's Context Engine is a key differentiator. It analyzes the entire codebase in real-time, providing context-aware suggestions and code completions, leading to more accurate and relevant AI-driven code generation. Memory Persistence: The platform remembers your coding style and project patterns, ensuring that its suggestions are tailored to your preferences and codebase over time, improving efficiency and reducing errors. MCP (Multi-Context Programming): Augment Code goes beyond just the code by integrating with various tools and systems, such as Vercel, Cloudflare, and more, allowing it to gather more information, automate tasks, and even fix issues in live systems. 2. IDE Integration and Workflow: Seamless Integration: Unlike some AI coding tools that require a separate editor, Augment Code integrates directly with popular IDEs like VS Code, JetBrains, Vim, and GitHub, allowing developers to leverage its AI capabilities within their familiar environment. Code Checkpoints: Augment Code automatically tracks changes and creates checkpoints, enabling easy rollback and providing peace of mind when the agent tackles complex tasks. Remote Agent Functionality: Augment Code can operate in a separate container, allowing developers to work on code even when their main machine is off or unavailable, and even run multiple agents in parallel. 3. Advanced Features and Capabilities: Multi-Modal Support: Augment Code can handle various inputs, including screenshots and Figma files, making it helpful for implementing UI elements and debugging visual issues. Terminal Interaction: Beyond code editing, Augment Code can run terminal commands, streamlining tasks like installing dependencies or running dev servers. Auto Mode: For a more streamlined experience, Augment Code offers an Auto Mode, where it automatically applies suggested changes without requiring explicit confirmation for each action. 4. Focus on Collaboration and Productivity: Developer-Centric: Augment Code is designed to work alongside developers, enhancing their existing workflow rather than replacing it, making it a collaborative rather than a replacement tool. Time Savings: By automating tasks, providing accurate suggestions, and handling repetitive coding tasks, Augment Code frees up developers' time to focus on more complex and creative aspects of their work. Continuous Improvement: Through feedback loops and learning from user interactions, Augment Code continuously improves its performance and adapts to the evolving needs of developers. https://www.augmentcode.com/blog/ai-model-pickers-are-a-design-failure-not-a-feature #augmentcode #claude #aicodingagent #aicode #vscode #jetbrains #vim #github #ideintegration #codingtools #productivitytools #memorypersistence #contextengine #multicontextprogramming #vercel #cloudflare #codecheckpoints #remotework #multimodal #figma #terminalinteraction #automode #developercentric #aitools #aidesign #coding #softwaredevelopment #aitool

News: So AI has begun replacing junior level employees in various sectors .. now the major question is whether AI is ready to lead organistations? Like run a small shop for example ? Thats precisely what Anthropic did ... and the results .... TERRIBLE! But soon .. so don't move fromt hat edge just yet 😆 Project Vend: Can Claude run a small shop? (And why does that matter?) So I stumbled upon a fascinating experiment where Claude, an AI developed by Anthropic, was tasked with running a small vending machine shop for a month. This endeavor aimed to explore the practical applications of AI in economic environments. Here’s the lowdown: Claude demonstrated some ability to handle customer interactions and product sourcing, yet it fell short in several areas like inventory management and pricing strategy, leading to embarrassing setbacks, including losing money and making bizarre decisions. While it reveals AI's potential, it also highlights the limitations of current technology. It’s a vivid reminder that AI still struggles with complex, real-world business management. #ClaudeAI #Anthropic #AINoCode #TaskAutomation #AIManagement #BusinessAI #Productivity #Automation #AIExperiments #TechInsights https://www.anthropic.com/research/project-vend-1

"You got Rizz ... l got Rizz" soon will be "You got Prompts ... l got Prompts" ... let me show you ! Prompts.chat is a curated collection of effective prompts for ChatGPT and other AI assistants, curated by Fatih Kadir Akın. While designed for ChatGPT, these prompts can be adapted for Claude, Gemini, Llama, and other language models to help you get more out of AI interactions. #promptschat #chatgpt #claude #gemini #llama #aiprompts #promptengineering #aiassistants #promptcollection #languagemodels #aiinteractions #promptlibrary #aitools #conversationalai #promptoptimization https://prompts.chat/