Want to be a pioneer in AI? Our immersive bootcamp is your gateway to mastering LLMs and building the future of enterprise applications. ⏰ Last Bootcamp of the year is here – Secure your spot now ➡️ Join us for 5 days of:.✔ Hands-On Learning: Build

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Retrieval-Augmented Generation (RAG) might sound technical, but its purpose is simple: make AI less forgetful, more factual. LLMs are powerful, but they don’t know what they don’t know. RAG changes that by letting models “look things up” before answering. In this carousel, we

Small Language Models Will Power the Next Generation of AI Agents. While most of today’s agentic systems rely on large language models (LLMs), this new position paper argues for a fundamental paradigm shift: small language models (SLMs) are not only good enough, but they’re also

Next Up in Our Community Webinar: Build a Data Analytics Agent Using LLMs - No Paid Tools Needed📊. Join Rimsha Ishtiaq, Associate Data Scientist at Data Science Dojo, for a hands-on session on building your own LLM-powered data analytics assistant using free and open-source

How Do You Measure a Thinking Machine?.This comprehensive survey from IBM Research, Yale, and Hebrew University maps the emerging science of evaluating LLM-based agents — intelligent systems that plan, reason, and act with autonomy. As agentic systems become more capable,

Next Up in Our Community Webinar: Build a Data Analytics Agent Using LLMs - No Paid Tools Needed📊. Join Rimsha Ishtiaq, Associate Data Scientist at Data Science Dojo, for a hands-on session on building your own LLM-powered data analytics assistant using free and open-source

🔍 How can LLMs improve their own reasoning — without external judges or hand-crafted rewards?. This paper from Microsoft and UCLA introduces Direct Reasoning Optimization (DRO) — a novel reinforcement learning framework where the model rewards and refines its own reasoning for

Next Up in Our Community Webinar: Build a Data Analytics Agent Using LLMs - No Paid Tools Needed📊. Join Rimsha Ishtiaq, Associate Data Scientist at Data Science Dojo, for a hands-on session on building your own LLM-powered data analytics assistant using free and open-source

🚀 Ready to Build the Future of Autonomous AI?. Join the Agentic AI Bootcamp — starting July 15th — and gain hands-on experience designing, deploying, and scaling intelligent AI agents. This 8-week, instructor-led online program covers everything from LLM context-awareness to

🤖 Agentic AI ≠ Chatbots.Most people still associate AI with a text box and a clever response. But modern agentic systems go far beyond conversation. This carousel breaks down 4 ways agentic AI is fundamentally more capable:. 🔹 1. Persistent Memory.Agents don’t just respond

🔍 Your model might be accurate — but is it fair, safe, and trustworthy?. Whether you're building models for healthcare, finance, or even content, accuracy isn’t enough. To build AI systems that are actually safe and useful, you need to get 5 things right:. 1. Fairness keeps

Can LLMs Learn Strategy — or Are They Just Guessing Smarter?. A fascinating new paper explores whether large language models (LLMs) like Qwen2.5 and LLaMA3.1 can develop strategic reasoning, not just logic, but long-term planning, opponent modeling, and positional

Next Up in Our Community Webinar: Build a Data Analytics Agent Using LLMs - No Paid Tools Needed📊. Join Rimsha Ishtiaq, Associate Data Scientist at Data Science Dojo, for a hands-on session on building your own LLM-powered data analytics assistant using free and open-source

🧠 Context Engineering: The Secret Weapon Behind Smarter AI Agents. Most agent failures don’t come from the model; they come from missing context. Agents hallucinate, forget things, or behave generically not because they lack intelligence… but because they weren’t given the

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🧠 How Can LLM Agents Reason Efficiently Over Long Tasks Without Context Explosion?.This paper introduces MEM1, a memory-reasoning framework that moves beyond static context windows and builds something smarter: dynamic memory that evolves as the agent thinks. The core idea: In

Master the skills to build enterprise-grade AI agents that can reason, plan, and act autonomously. 🧠 Learn how to build agentic AI applications with real-world use cases and hands-on projects. 📅 Starting July 15th | ⏳ 8 Weeks | 💻 Instructor-led Online. 📚 Curriculum

🛠️ Agentic AI needs more than prompts. It needs infrastructure. From reasoning to retrieval, planning to orchestration — building autonomous AI agents requires a new class of tools. And the open-source community is leading the way. This carousel breaks down 10+ open-source

Next Up in Our Community Webinar: Build a Data Analytics Agent Using LLMs - No Paid Tools Needed📊. Join Rimsha Ishtiaq, Associate Data Scientist at Data Science Dojo, for a hands-on session on building your own LLM-powered data analytics assistant using free and open-source

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