10 Beast Prompts That Will Supercharge Your Perplexity
Unlock the full potential of Perplexity & Large Language Models with these 10 expert-crafted prompts designed for maximum efficiency and output quality.
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Unlock the full potential of Perplexity & Large Language Models with these 10 expert-crafted prompts designed for maximum efficiency and output quality.
Read More →
We always hear phrases like "70B parameters," "120B parameters," "state-of-the-art LLMs," and it sounds almost mythical. But when you zoom in, the core idea is surprisingly simple. This post breaks down that fundamental flow.
This comprehensive guide explores the fundamental architectures powering modern AI - from traditional rule-based systems to cutting-edge transformers and graph neural networks.
RAG (Retrieval-Augmented Generation) has changed how AI systems work with information. In this post, I'll show you the difference between basic and advanced RAG, and how modern tools like LangChain and LangGraph make building smart AI systems much easier.
The AI-powered command line interface revolution is here. After extensive hands-on testing with Claude Code CLI, Google Gemini CLI, and OpenAI Codex CLI, here's your definitive guide to choosing the best AI coding assistant for your development workflow in 2025.
Claude Code has revolutionized how we interact with AI in development workflows. Today, I'm sharing a conversation memory system I built that goes far beyond Claude Code's static memory management.
Every ChatGPT query you make uses 100x more energy than a Google search. As AI becomes as common as smartphones, we need to talk about its environmental cost before it's too late.
In 2025, AI agents are changing all that. They're not just chatbots anymore – they're intelligent digital workers that can actually do things for you, not just talk about them.
Claude Code is Anthropic’s agentic coding tool that lives in your terminal. In this blog post, we’ll explore two powerful ways to customize and get the most out of Claude Code: subagents and slash commands.
ColPali (Column-Palette) represents a paradigm shift in document retrieval, treating documents as visual entities rather than just text containers. This blog explores how ColPali is revolutionizing multimodal RAG in 2025.
Weight-Based Hybrid RAG represents a sophisticated approach to merging different retrieval methods—dense embeddings, sparse keyword search, and semantic reranking—using optimized weights for each component.
What if your RAG system could critique its own answers and improve them before responding? In 2025, self-improving RAG systems with reflection capabilities represent the cutting edge of AI development.
In 2025, the most effective RAG systems don't rely on a single search method—they combine multiple approaches. This blog explores Reciprocal Rank Fusion (RRF), a powerful technique that merges semantic search (dense vectors) with keyword search (sparse vectors) to deliver superior results.
This blog post explores how to build a powerful multimodal Retrieval-Augmented Generation (RAG) system using CLIP and Pinecone vector database.