Build a chatbot using Kimi K2 thinking. This guide shows you how to use RAG and Streamlit to create an AI that truly understands and reasons.
Learn practical LLMOps: deploy LLMs in production with LangChain, FastAPI, Docker, and Streamlit, from prototype to scalable RAG chatbot.
Transformers vs Mixture of Experts: Understand self-attention, conditional computation, expert routing, and how MoE vs Transformer models.
Learn about Zomato's MCP Server, enabling complete AI-powered food ordering with ChatGPT, Claude, and Gemini.
Discover 7 innovative Model Context Protocol (MCP) projects for AI engineers, including multi-agent researchers and financial analysts.
Students - here is a super-easy-to-follow step-by-step guide for using Google Gemini and its AI features for your midterm exam preparation
This review explores Gemini's new presentation feature to generate slides from prompts and documents, comparing with its contemporaries.
Kimi K2 Thinking beats GPT 5 and Claude models on all benchmarks. Find all about the Kimi K2 Thinking performance and how to use it.
With the new Manus 1.5, building an app is as easy as writing a few English sentences. Here, I try the no-code app development on Manus AI.
Understand the fundamental differences and synergistic relationship between LLMs, RAG and AI Agents. Also, how the are used in synergy.
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