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@AdvancedTechBiz
Innovative Ideas change and modernize the world and creative solutions make this world better place to live and grow
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RAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector database. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by…
AI Agents vs RAG vs LLM Workflows - A Strategic Comparison for Modern AI Solutions
Traditional RAG vs. Graph RAG, clearly explained:
𝗔𝗜 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗠𝗲𝗺𝗼𝗿𝘆 is the most important piece of 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, this is how we define it 👇 In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and…
5 Ways to Use Agentic AI 1. Prompt Routing: Dynamically decide whether to respond, search internal data, or hit the internetbased on the user’s prompt. 2. Query Writing: Write its own query functions with filters, sorting, and parameters to get exactly the right results. 3.…
How to Choose Charts for Your #Data by @Python_Dv #DataScience #BigData cc: @kirkdborne @ogrisel @alvinfoo
7 patterns to build multi-agent systems:
Why is DeepSeek-OCR such a BIG DEAL? Existing LLMs struggle with long inputs because they can only handle a fixed number of tokens, known as the context window, and attention cost grows quickly as inputs get longer. DeepSeek-OCR takes a new approach. Instead of sending long…
🚨NEW Whitepaper on AI Agents by OpenAI The maker of ChatGPT shares how it builds AI Agents. Get the 34-page white paper here:
Master Agentic AI in 2025 - A Practical Roadmap for Builders ---- Follow @techNmak
We process the world through all of our senses, not just text. Your AI shouldn't be stuck with just one. Humans don't process information in just one format - we digest information with photos, graphs, charts, and more to understand the world. Why should our AI systems be…
8 key skills to master LLM Engineering: (free/open-source resources below)
𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚 and what you need to know about it as an AI Engineer? Simple naive RAG systems are rarely used in real world applications. We are usually adding some agency to the RAG system - ideally a minimal amount. There is 𝗻𝗼 𝘀𝗶𝗻𝗴𝗹𝗲 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 on how…
How #AgenticAI work by @genamind #GenerativeAI #ArtificialIntelligence #MI #MachineLearning cc: @paula_piccard @iainljbrown @karpathy
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