ibl.ai

Discover how universities can harness aligned AI agents to support students, faculty, and administration. From personalized tutoring and language assistance to workflow automation and predictive analytics, ibl.ai enables the creation of unlimited AI agents tailored to educational needs. Read our latest article to learn more:

🚀 Unlock Your Potential with Our AI Engineering and Computations Mentor! Hey everyone! I'm excited to introduce our latest innovation at ibl.ai—the AI Engineering and Computations Mentor designed to supercharge your learning in Intro to Engineering Computations courses, especially if you're working with Python! 🐍💻 What Can Our Mentor Do for You? 🔹 Personalized Python Introduction New to Python? Get an easy-to-understand introduction, including its history and key features. 🔹 Code Snippets with Explanations Access examples of Python code snippets along with detailed explanations of their functions. 🔹 Step-by-Step Guidance Learn how to effectively use code snippets with clear, step-by-step instructions. 🔹 Master Key Concepts Discover essential considerations for engineering computations to enhance your skills. Why Choose Our AI Mentor? 🌟 One-Stop Learning Resource More guidance than a traditional classroom, right at your fingertips. 🎯 Tailored to Your Needs The mentor adapts to your questions, helping you dive deeper into topics you’re curious about. ⏰ 24/7 Availability Learn at your own pace, anytime, anywhere. Visit 👉 ibl.ai to learn more and start your journey with our AI mentor today! Let's push the boundaries of learning together! 🚀 #AIinEducation #EdTech #Python #Engineering #Learning #Coding #Innovation #Students #iblai

🚀 Platform Updates: November 29, 2024 Here's the latest roundup of updates across ibl.ai's ecosystem. Dive into the highlights and improvements we've rolled out this week: 🧠 AI Mentor Updates - Introduced chat history summaries and enhanced analytics with mentor filtering. - Enabled multimodal chat using Gemini, improving AI Mentor interactions. - Optimized mentor flows with advanced metadata management and resource tracking for scrapped resources. - Streamlined integrations by moving webhook processing and review functionalities to the AI worker queue. 🌐 Frontend Enhancements - Mobile Optimizations: Improved course outline and breadcrumb styling in ibl-web-react-skills-spa for better mobile UX. - Document Previews: Added file and image preview functionality to ibl-web-react-mentor-spa. - Optimized activity timelines in ibl-web-react-components 🛠️ Backend Improvements - Enhanced credential management with automated issuance for completed courses and added tracking to remove unnecessary credentials. - Upgraded Search with advanced filtering for skills and program pathways, plus improved prompts search. - Mentor Training Updates: Optimized endpoints for document training and mentor metadata management. 🔧 DevOps Highlights - Resource Controls: Enhanced AI agent worker resource allocation with memory/CPU limits. - Swarm Support: Added configurations for IBL Status Pro, including SSL/HTTPS enhancements and better volume management. - Custom Emails: Expanded custom email capabilities in ibl-edx-custom-emails-app for greater communication flexibility. 📈 Ecosystem Updates - Self-Enrollment: Added self-enrollment endpoint to ibl-edx-enrollment-api. - Aggregated Reporting: Enhanced ibl-dm-axd-app for improved report aggregation and single report status retrieval. - Free-Text Responses: Integrated new Free-Text Responses xBlock capabilities. https://lnkd.in/edsVstEF

🤖🚨  We now have an ibl.ai agent on our GitHub that reviews engineers' pull requests and checks for issues related to cybersecurity, performance and code quality – as a webhook. It digests the entire repository and provides targeted feedback. ✉️ DM us for free access. Runs on OpenAI's o1 and gpt4o, Google's Gemini (great context windows) and Meta's Llama.

ibl.ai AI Mentor Implementation at Tompkins Cortland Community College in New York: - 100% Student Satisfaction - 10-minute implementation

Introducing Our New AI Mentor: Secure Code & Essay Assessment Mentor! 🚀 I'm thrilled to unveil one of our latest innovations at IBL.AI—the Secure Code & Essay Assessment Mentor! 🔐 Code Security Analysis - Identify Vulnerabilities: Analyzes your code to spot potential security and safety risks. - Actionable Insights: Provides recommendations to address and mitigate issues like SQL injection attacks. ✍️ Plagiarism Detection - Spot Potential Plagiarism: Scans sentences and passages in student writing that might be flagged. - Maintain Academic Integrity: Offers guidance on proper citation and how to avoid plagiarism. Powered by GPT-4 Turbo, this mentor is a game-changer for both educators and learners. We've rigorously tested it with sample essays and code snippets, and the results are outstanding! 👉 See it in action and elevate your learning experience today! #AI #Education #CyberSecurity #PlagiarismPrevention #Innovation #iblai #AIMentor #HigherEducation #EdTech #CIO

📊 Generative AI Market Trends: 2023 vs. 2024 😎 The LLM market is evolving rapidly: - OpenAI's dominance is declining (50% → 34% YoY), reflecting growing competition. - Anthropic has doubled its share (+12%, now 24%), becoming a key competitor. - Google (+5%, now 12%) and Meta (Llama) (stable at 16%) maintain strong positions, while smaller players like Mistral and Cohere hold steady at ~3-5%. 🛠️ Implications for Those Building on Generative AI: - Diversification is Key: Relying on a single provider, especially one losing market share (e.g., OpenAI), may increase risks. Consider integrating multiple LLMs to leverage their unique strengths. - Emerging Providers Offer Opportunities: Anthropic’s rapid growth and Google’s steady gains suggest they are worth evaluating for performance, scalability, and cost-effectiveness. - Tailored Solutions Are Growing: The rise of internal models shows a trend toward customization. Building internal or hybrid models could help maintain control over costs, data, and specialized use cases. - Market Competition = Better Innovation: A less centralized market creates opportunities for faster advancements and reduced costs. Organizations should monitor trends and benchmark models regularly to stay competitive. - Llama’s Consistency is a Strength: Meta's Llama has maintained a solid market share, suggesting it is a reliable option for organizations seeking open, adaptable solutions. For teams building on generative AI, the takeaway is clear: adopt a flexible, multi-provider approach, prioritize customization, and stay ahead of market shifts to future-proof your AI strategy. #GenerativeAI #LLMs #AIInnovation #Llama #OpenAI #Anthropic #Gemini

🚀 Platform Updates: November 22, 2024 This week’s updates bring impactful changes to the ibl.ai ecosystem. Take a comprehensive look at what’s new across AI, frontend, backend, and DevOps platforms. 🧠 AI Updates Mentor Enhancements: - Introduced analytics endpoints for chat history and mentors to provide deeper insights into user interactions. - Enhanced mentor capabilities with flow validation, versioning for saved mentors, and improved HTML data extraction. - Updated chat history for Gemini calls, ensuring consistent access to prior messages during conversations. - Streamlined logging across services with file loggers replacing print statements and root loggers. Performance Optimizations: - Updated resource crawlers to utilize LLMs for better content extraction. - Proactive prompts are now excluded from chat history, enabling cleaner and more focused mentor-student interactions. - Enhanced test coverage and stability with revised serializers and endpoint validations. 🌐 Frontend Updates Improved User Experience: - Revamped navigation with dynamic Next/Previous buttons for course outlines and public credential detail pages. - Enhanced mentor creation with improved workflows and error handling in mentor SPAs. Component Updates: - Enhanced React components to ensure navigation links, headers, and download options are displayed only when logged in. - Incorporated user feedback into mentor SPAs. - Improved navigation and accessibility features to create a smoother user experience. - Introduced new functionality to address specific user needs, such as displaying dataset types for users on trial. 🛠️ Backend Updates License & Invitation Management: - Updated license creation endpoints with enhanced logging, bulk invitation capabilities, and platform-wide invitation management. - Streamlined permissions and query filters for improved course and program invitation workflows. API Enhancements: - Introduced new endpoints in the career app for location submission and retrieval, facilitating user analytics and personalization. - Added bulk credential creation scripts with metadata validation to streamline issuing credentials. Data Synchronization & Reporting: - Enabled public updates for role/skill management and synchronized course block data for real-time updates. - Improved aggregation and centralized management of reports across Django apps. 🔧 DevOps Updates Monitoring & Recovery: - Launched a SQLite-based health check monitoring system with state management and smart recovery mechanisms. - Enhanced DNS resolver with configurable IP lookups and error handling for improved reliability. - Introduced custom email settings in Open edX with streamlined activation commands and documentation. Command Line Enhancements: - Added commands for managing health checks, viewing history, and configuring DNS. - Improved notification systems with detailed reporting on state changes and error handling. https://lnkd.in/eJncFZ-u

New podcast episode on Apple and Spotify 🎧 💡 The Office for Civil Rights, Department of Education explains how federal civil rights laws prohibit discrimination in education based on race, color, national origin, sex, or disability, particularly when artificial intelligence (AI) is used. The guide provides examples of potential discriminatory incidents and discusses how OCR enforces these laws, emphasizing that schools must ensure meaningful communication with parents and guardians who have limited English proficiency, provide equal athletic opportunities, and ensure appropriate accommodations for students with disabilities. The guide also stresses the importance of addressing harassment based on these protected characteristics and clarifies that AI tools should not be used to perpetuate existing discriminatory practices. Podcast on Spotify: https://lnkd.in/e-zdbwZ8 Podcast on Apple: https://lnkd.in/ejkWFqRS Report: https://lnkd.in/e3tzzdEX #aiintheclassroom #chatgpt #education #gemini #llama

ibl.ai AI Mentor implementation at Monroe University in New York: - 97% student satisfaction - 100% net promoter score - 85% cheaper than ChatGPT and 75% cheaper than Copilot