Creative Ideas Work
@AdvancedTechBiz
Innovative Ideas change and modernize the world and creative solutions make this world better place to live and grow
90% of all new .NET projects in 2026 will use Vertical Slice Architecture Are you still using Clean Architecture or N-Layered? In modern software development, there are 4 popular approaches to structuring your projects: • N-Layered Architecture (Controller-Service-Repository)…
A breakdown of 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 👇 And yes, it can also be used for LLM based systems! It is critical to ensure Data Quality and Integrity upstream of ML Training and Inference Pipelines, trying to do that in the…
50 Steps to master Agentic AI in 2025 - 2026
This repository is all you need to learn and build a RAG application! It’s a comprehensive repository covering Retrieval-Augmented Generation from the ground up. Here’s what it covers: • Query Construction – Translating natural language into structured queries (SQL, Cypher,…
AWS AI Agent Architecture = Chatbots with brains, memory & business logic ⏬⏬
Researchers from Meta built a new RAG approach that: - outperforms LLaMA on 16 RAG benchmarks. - has 30.85x faster time-to-first-token. - handles 16x larger context windows. - and it utilizes 2-4x fewer tokens. Here's the core problem with a typical RAG setup that Meta solves:…
5 levels of Agentic AI systems, visually explained:
🤖 AI Agents are taking over — and 2025 is their breakout year 🚀 From Voice Agents to DeepResearch Agents, this visual cheatsheet shows every top trend shaping AI right now. 🎁 Grab it FREE: 1️⃣ Like ❤️ 2️⃣ Repost 🔁 3️⃣ Comment “AGENT” 4️⃣ Follow me
Agents without memory aren't agents at all. We often assume LLMs remember things — they feel human, after all. But the truth is: LLMs are stateless. If you want your agent to recall anything (past chats, preferences, behaviors), you have to build memory into it. But how to do…
LLM fine-tuning techniques I'd learn if I were to customize them: Bookmark this. 1. LoRA 2. QLoRA 3. Prefix Tuning 4. Adapter Tuning 5. Instruction Tuning 6. P-Tuning 7. BitFit 8. Soft Prompts 9. RLHF 10. RLAIF 11. DPO (Direct Preference Optimization) 12. GRPO (Group Relative…
A Brief History of #ArtificialIntelligence by @Python_Dv #AI #MachineLearning #ML cc: @iainljbrown @gp_pulipaka @yuhelenyu
Top AI Algorithms and Their Use-Cases
A layered overview of key Agentic AI concepts. Let's understand it step-by-step: 1️⃣ LLMs (the foundation layer) At the core, you have LLMs like GPT, DeepSeek, etc. Core ideas: - Tokenization & inference: how text is processed by the model - Prompt engineering: designing…
Phases to master #AgenticAI by @Python_Dv #AI #GenAI #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning cc: @marcusborba @terenceleungsf @miketamir
United States الاتجاهات
- 1. George Santos 4,142 posts
- 2. Prince Andrew 38.7K posts
- 3. No Kings 290K posts
- 4. Duke of York 17.1K posts
- 5. #BostonBlue 1,056 posts
- 6. Norm Benning N/A
- 7. Zelensky 83.3K posts
- 8. Louisville 5,040 posts
- 9. Andrea Bocelli 24.2K posts
- 10. #DoritosF1 N/A
- 11. Teto 18K posts
- 12. Arc Raiders 7,684 posts
- 13. Chandler Smith N/A
- 14. Strasbourg 29.6K posts
- 15. #SELFIESFOROLIVIA N/A
- 16. #iwcselfieday N/A
- 17. #CashAppFriday N/A
- 18. Graham Canyon N/A
- 19. Swig N/A
- 20. Shabbat Shalom 14.3K posts
Something went wrong.
Something went wrong.