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

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

Desktop Commander is an open-source tool that allows terminal command execution and file editing within the Claude Desktop app. It functions as an MCP (Master Control Program) tool, enabling desktop operations based on prompts. It's a popular tool, especially on Smithery. https://desktopcommander.app/ #DesktopCommander #Claude #Smithery #MCP #MasterControlProgram #OpenSource #Terminal #FileEditing #DesktopApps #Automation #Raycast #Alfred #CommandBar #Productivity #AIWorkflow

PromptPanda is an AI-powered prompt management system aimed at simplifying and improving the use of AI prompts. It offers features suitable for small businesses, startups, and personal use, including a free tier. The system helps users manage prompts, preventing loss and enabling efficient team collaboration through prompt variables and OpenAI integration. https://www.promptpanda.io/ #PromptPanda #AIpromptManagement #OpenAI #promptengineering #promptoptimization #promptlibrary #promptvariables #teamprompts #promptsharing #AItools #productivitytools #JasperAI #CopyAI #promptmanagement #promptorganization

PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch

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

A gold mine for prompt engineering code. Grab the link on GitHub: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P After completing this course, you will be able to: • Recognize common failure modes • Master the basic structure of a good prompt • Understand Claude's strengths and weaknesses • Build strong prompts from scratch for common use cases #PromptEngineering #AI #Claude #Anthropic #GitHub #Prompting #AIML #LLM #LargeLanguageModels #GenerativeAI #FailureModes #PromptStructure #AISolutions #AICourse

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 to generate AI videos using VEO 2 free ! Fort those of you interested in Video Generation consider using Veo 2 its free (Not unlimiited still quotas apply) but still very very good. VIsit : Google Ai Studio the select Generate media then VEO then voila ! 1. https://aistudio.google.com/ 2. https://aistudio.google.com/gen-media 3. https://aistudio.google.com/prompts/new_video

Where to find Anthropic's on-demand Courses: https://github.com/anthropics/prompt-eng-interactive-tutorial https://www.anthropic.com/learn https://github.com/anthropics/courses This repository contains an interactive tutorial created by Anthropic to provide a comprehensive understanding of prompt engineering within the Claude language model. The tutorial covers various aspects of prompt engineering, from basic prompt structure to advanced techniques for building complex prompts. #Anthropic #Claude #PromptEngineering #AIML #LanguageModels #InteractiveTutorial #GitHub #PromptStructure #AdvancedTechniques #AIeducation #AICourse #PromptBuilding #GenerativeAI #AItools