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ReAct in AI Explained: How Reasoning and Acting Power Modern AI Agents
I was exploring a core concept about AI and AI Agents and frequently came across ReAct. As I kept seeing it, I thought to take a deeper dive and below is my understanding." Today’s AI models can search the web, use tools, solve multi-step problems, write code, and even interact with software environments. One of the most important concepts behind this evolution is ReAct. ReAct combines reasoning and action into a single framework, enabling AI systems to think step by step whi
4 min read


Getting Started with Gemma 4 in Google AI Studio
Artifical Intelligence is getting interesting day by day as it continues to evolve rapidly, and Google’s Gemma family of models represents an exciting step forward in lightweight, efficient, and developer-friendly AI. With the release of Gemma 4, developers and researchers gain access to improved performance, better reasoning, and streamlined deployment options. Google - Gemma 4 Today, we’ll walk through what Gemma 4 is, how to set it up, and how to test it using Google AI St
2 min read
Harness Engineering for Agentic AI: What Actually Makes Agents Work in Production
Most AI demos look impressive. Most AI agents in production quietly fail. The difference is rarely the model — it's everything built around it. Agentic AI refers to systems where a model takes autonomous, multi-step actions to complete a goal — browsing the web, writing and running code, calling APIs — acting, observing the result, and acting again, often over hours. Harness engineering is the discipline of building the system that makes those actions reliable. As LangChain p
3 min read


Google's Research Paper On Secure AI Agents
Believe it or not AI is here to stay. In 2025, we saw a huge spike of Agentic AI Application and AI Agents. Now the question arise is how secure this AI Agents and Applications are? I was reading a research paper by Santiago Díaz, Christoph Kern, Kara Olive from Google in which they presented Google’s Approach for Secure AI Agents. In the Introduction, Google did presented and shared the potential and risks associated with the AI Agents and did mentioned the need for Agent Se
3 min read
Introduction To LangChain
2023 was all about AI. LLMs played a major role in speeding up the AI revolution but it is not ended yet the future holds a lot where machines can understand and generate language like never before and that to real-time. And according to me LangChain will play a major role in it. You all might be wondering what is LangChain? In simple terms, LangChain is a powerful tool which can help you build AI applications. LangChain was launched in October 2022, making it a relatively yo
2 min read
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