Strongly.AI

🚨 Major AI Liability Case: Air Canada's Chatbot Mishap Signals Warning for Businesses In a landmark ruling, Air Canada was held liable for incorrect information provided by their AI chatbot regarding bereavement fares. The company's defense that the "chatbot is a separate legal entity responsible for its own actions" was firmly rejected by the tribunal. This case sets a crucial precedent for companies implementing AI solutions. As AI adoption accelerates, businesses must ensure their chatbots provide accurate information or face legal consequences. At Strongly.AI, we're committed to preventing AI hallucinations and maintaining accuracy in AI-powered applications. Let's talk about how we can help protect your business from similar situations. Read the full story: 👇

Fantastic piece from Anthropic on building effective LLM agents. Here are the key insights: Successful agent implementations often rely on simple, composable patterns rather than complex frameworks. The post outlines several proven patterns including prompt chaining, routing, parallelization, and orchestrator-workers architectures. Key takeaways: - Start simple and only increase complexity when needed - Workflows offer predictability for well-defined tasks - Autonomous agents are best for open-ended problems requiring dynamic decision-making - Focus on crafting clear tool documentation and interfaces Particularly interesting is their emphasis on measuring performance and iterating on implementations rather than building the most sophisticated system possible. Great read for anyone building with LLMs! What patterns have you found most effective in your agent implementations? Article link in comments 👇 #AI #LLM #SoftwareEngineering #ArtificialIntelligence #TechTrends

🔮 Demystifying Agentic Systems: The Future of AI-Powered Problem Solving We're excited to share our comprehensive exploration of agentic systems, now updated with the latest industry research and insights from Anthropic (Dec 2024). Key highlights: 🤖 The crucial distinction between true LLM-driven agents and specialized AI tools 🛠️ Production-tested implementation patterns that actually work 📊 When to use (and not use) multi-agent architectures 💡 Real-world applications in finance and healthcare 🔄 Latest frameworks and tools in the ecosystem Whether you're a technical leader, developer, or decision-maker exploring AI solutions, this guide provides practical insights for building effective agentic systems while avoiding common pitfalls. One key takeaway: Success isn't about building the most sophisticated system—it's about building the right system for your specific needs. Read the full article here: https://lnkd.in/esPcwAwA #ArtificialIntelligence #LLM #AgenticAI #TechInnovation #AIEngineering #SoftwareDevelopment

🚀 Exciting News: Introducing Strongly AI - Your Complete Generative AI Governance Solution! We're thrilled to share how Strongly AI is solving this challenge. 🛡️ Our platform offers: * Real-time protection against PII & IP leaks * Multi-model support (ChatGPT, Claude, Mistral, Gemini) * Seamless browser integration * Advanced analytics & compliance monitoring * Proprietary agent chain framework for optimal prompting 🎯 Perfect for enterprises looking to: * Safely scale AI adoption * Protect sensitive information * Maintain regulatory compliance * Gain visibility into AI usage * Boost team productivity 🔥 Ready to transform your AI governance? Start your 30-day free trial today! Watch our quick demo video to see Strongly AI in action ⤴️ Learn more: strongly.ai #GenerativeAI #EnterpriseAI #AIGovernance #Innovation #Technology #DataSecurity #ArtificialIntelligence P.S. Tag someone who needs to see this! 🤝

🚀 Excited to share our latest blog: "Mastering API Integration for AI Agents" In this deep technical exploration, we break down the complex challenges of connecting AI systems with external services. Having worked with numerous organizations implementing AI solutions, we have seen firsthand how critical robust API integration is for success. This guide covers essential topics including: * The agent vs. tool paradigm in API integration - when to treat APIs as autonomous agents and when to implement them as utilities. * Automated API discovery and documentation analysis - reducing integration time from weeks to hours. * Real-world authentication challenges and practical solutions for production systems. * Advanced strategies for working with third-party LLMs in agentic systems. Whether you're an AI engineer, system architect, or technical leader, you'll find actionable insights for building more robust and intelligent integrated systems. Read the full guide here: https://lnkd.in/eMzZsrjw #ArtificialIntelligence #APIs #SoftwareEngineering #AIEngineering #TechnicalArchitecture #LLM #AI #GenAI

AI Agents for prompt engineering ... let's go 💥 The first use case for Strongly's agentic system is prompt engineering. Build your own chain of prompt refining agents and we will take care of the rest. ✅ Any LLM model ✅ Custom skills training ✅ Chain visualization and tracing ✅ Drag and drop builder More to come ... #AgenticSystem #AI #ML #PromptEngineering #ATLStartup #LLM #GenAI

Excited to announce the launch of our new Prompt Comparison feature at Strongly.AI! Choosing the right LLM and crafting optimal prompts can be a significant challenge for organizations. Our new feature solves this by allowing you to: ✨ Compare responses from multiple LLM providers simultaneously ✨ Test different system and assistant prompts side-by-side ✨ Save and reuse your optimized configurations ✨ Seamlessly integrate with your existing workflows through our UI or REST API Whether you're working on customer support automation, content generation, or data analysis, Prompt Comparison helps you identify the perfect model and prompt combination for your specific use case - saving valuable time and resources. Check out our latest blog post to see how companies are already using this feature to enhance their AI operations and deliver better results: https://lnkd.in/eGCkc-7F #ArtificialIntelligence #Innovation #ProductAnnouncement #AI #LLM #TechInnovation #ProductivityTools

50% of organizations we have spoken to have enabled Copilot while blocking ChatGPT and other LLMs due to security reasons. Not only is CoPilot Clippy 2.0 (unusable in our opinion) it apparently also has data leakage problems and is not secure after all. Strongly.AI can help your organization use any LLM securely without concern of data leakage. Schedule a demo to experience how. #LLM #GenAI #Security #DataPrivacy #Clippy https://lnkd.in/d_ffX-ND

🚫 Did your organization block ChatGPT due to data security concerns? Don't let compliance fears hold you back from the AI revolution. Introducing Strongly.AI's enterprise-grade solution: * Advanced DLP guardrails * Secure access to leading LLMs * Seamless integration via StronglyGPT UI * Direct ChatGPT plugin option Unlock the power of AI while keeping your sensitive data protected. Ready to safely embrace AI productivity gains? Let's connect. #GenAI #Security #AISecurity #Enterprise #Innovation #ChatGPT

🔍 Breakthrough in AI Text Detection: Google DeepMind's "SynthID-Text" Google DeepMind has introduced SynthID-Text, a scalable watermarking system that can reliably identify AI-generated content while maintaining text quality. Key highlights: • First watermarking system successfully deployed at scale, now active in Gemini • Validated through 20 million+ real user interactions • Preserves text quality with no significant impact on user experience • Minimal computational overhead • Compatible with fast text generation techniques used in production systems Why this matters: As AI language models become increasingly sophisticated, distinguishing between human and AI-written content grows more challenging. SynthID-Text offers a practical solution for transparency and accountability in AI deployment, helping manage the evolving information ecosystem responsibly. The system has already been integrated into Gemini and Gemini Advanced, demonstrating that AI watermarking can work effectively in real-world applications. Congratulations to the research team led by Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, and Rob McAdam for this significant contribution to responsible AI development. Read the full paper: https://lnkd.in/e5FfbNvR #ArtificialIntelligence #MachineLearning #ResponsibleAI #DeepLearning #GoogleDeepMind #Technology #Innovation