Ready Tensor, Inc. @ready_tensor

AI systems face both security risks (like prompt injection or data leaks) and safety risks (like toxic outputs, bias, or hallucinations). Guardrails is an open-source Python framework that helps make your LLM applications more reliable, structured, and secure, right at runtime.…

🚀 Exciting News from ReadyTensor! We’re thrilled to announce the launch of our new program for the AI community: “LLM Engineering and Deployment” 🎉 This program is designed to take you deep into fine-tuning foundation models, exploring techniques that make LLMs more effective…

🚀 Call for Contributors! We’re still accepting contributors to our Agentic AI Developer Program, now with over 15,000 AI/ML learners and enthusiasts worldwide! Our mission is to make this the most comprehensive, go-to program for anyone looking to gain practical AI skills. The…

Monitoring and observability are essential for catching the silent failures that agentic systems face, issues like hallucinations, tool misuse, and degraded performance that often go unnoticed by traditional monitoring. But even with the right tools, poor design can undermine…

How to Make Your Agentic Systems More Resilient to Real-World Failures Agentic systems can fail in different ways,  from LLM-related issues, to API/tool errors, and even workflow logic breakdowns. Building resilience into your system ensures it remains reliable and effective,…

🚀 In Module One of ReadyTensor’s Agentic AI Developer Program, learners take on their first major project: building a Retrieval-Augmented Generation (RAG) chatbot, an AI that can answer questions based on their own documents. 📹 To make the process less intimidating, we’ve…

🚀 New Program Launch on ReadyTensor! We’re excited to announce the LLM Fine-Tuning & Deployment Certification Program, commencing soon! 🎉 This 8-week, in-depth program goes beyond prompt engineering to help you customize, evaluate, and deploy open-source Large Language Models…

🔑 Key Licensing Concepts Every AI/ML Developer Should Know 💡 Open-source is often mistaken as “free-to-use,” but that’s a misconception. It simply means the code is accessible. Accessibility and usage are two different things; usage rights depend on the license. When choosing…

⚖️ Choosing the Right License for Your AI/ML Projects Selecting a license for your AI/ML project is a critical decision, it determines how your work can be used, modified, and shared by others. Before making that choice, here are some key considerations to keep in mind: 🎯…

🔑Licenses in AI/ML Projects Licensing is a crucial aspect of open-sourcing your AI/ML projects. A license determines how your work can be shared, modified, and deployed, ensuring both protection for you and clarity for others who want to use your project. There are many types…

🌍 The ReadyTensor community has grown to 35,000+ AI/ML enthusiasts and builders across 150 countries! Our platform is a global hub for AI/ML innovation, giving you the opportunity to: 🚀 Showcase your AI/ML projects to a worldwide audience 🎓 Advance your skills…

Best practices for sharing your AI/ML projects The quality of your code repositories directly impacts your work efficiency, career growth, and contributions to the community. A well-structured repository makes your work easier to maintain, helps others understand and use your…

🌟 Exciting News for AAIDC (Agentic AI Developer Certification) Program Participants! 🌟 If you’re already part of the AAIDC program, it's now it’s time to level up. The upcoming "LLM Engineering & Deployment Certification" program, launching next month! 🤖 Register! 👇

Contribution to ReadyTensor’s Agentic AI developer program is still open. The program has already grown to over 15,000 developers and counting, and we’re welcoming community members to contribute articles, tutorials, and technical explainers. Our goal is to make this the most…

Ten categories of vulnerabilities that LLM-powered systems face, as identified by OWASP, which every builder of AI systems should know -Prompt Injection -Sensitive Information Disclosure -Supply Chain -Data and Model Poisoning -Improper Output Handling -Excessive Agency -System…

Function chaining is a foundational concept for building robust, modular, and intelligent AI systems. A single direct prompt works for quick, one-off tasks, but it quickly becomes rigid and hard to scale. That’s where prompt templates come in. Templates separate fixed…

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Common design mistakes that lead to inefficient and fragile agentic systems. 🧰 One Agent to Rule Them All: Creating a single, overloaded agent that tries to do everything. 🧱 Death by a Thousand Agents: Creating too many tiny agents for minuscule tasks, which adds unnecessary…

Thoughtful design is the difference between agentic systems that work and those that don’t work. Poorly designed setups often become slow, expensive, and unreliable . To design agentic systems systematically, you need to think in three levels of abstraction: ✅…

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You don’t always need an agent. For simpler problems, adding unnecessary complexity can actually slow you down. A well-structured workflow,with a few LLM calls, retrieval, and predefined logic,often gives the most reliable and cost-effective solution. Agents, on the other hand,…

Another reminder to take the Agentic AI certification Program by @ready_tensor This is all you need to move from 0 to 100 in the AI engineering field. 100 % free Link: readytensor.ai/agentic-ai-cer…

Isaac the Nigerian @IsaacdNigerian

2 weeks ago

Another reminder to take the Agentic AI certification Program by @ready_tensor This is all you need to move from 0 to 100 in the AI engineering field. 100 % free Link: readytensor.ai/agentic-ai-cer… https://t.co/Sfhl4tgHdu

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