Analytics Vidhya

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Analytics Vidhya

Analytics Vidhya

@AnalyticsVidhya

Building Next-Generation AI Professionals 🚀 Unlocking knowledge, skills & opportunities through blogs, world-class courses, hackathons & a thriving community.

Entrou em Ocak 2014
413 Seguindo30.5K Seguidores
Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
12 RAG Essentials for AI Engineers: Retrieval, Embeddings, Vector DBs, Retriever, Chunking, Context, Grounding, Re-ranking, Hybrid, Metadata, Similarity, & Security. 🧠 Master these to build reliable, production-ready LLM applications in 2026. 🚀 #AI #RAG #LLM #Dev
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
🔥 AI is heating up! 🔥 Check out these 5 groundbreaking updates: 🛡️ @MistralAI's FREE Moderation 2 model is here with 128k context! Keep your AI safe & sound. #AIsecurity 🏭 @MistralAI's Forge lets enterprises build custom AI! #EnterpriseAI 🔒 @perplexity_ai + @CrowdStrike = 💪 AI-native browsing security. #Cybersecurity 🛠️ @UnslothAI Studio: Train LLMs locally & 2x faster! #OpenSourceAI 💨 @OpenAIDevs launches GPT-5.4 mini & nano for lightning-fast AI! #GPT5 Stay ahead of the curve! 🚀 #AI #GenAI #TechNews #Innovation
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
Pro-tip: Don't treat ChatGPT like a peer-reviewed journal. 🛑 It’s great for brainstorming, but with 40% of its "facts" rooted in Reddit, double-checking is mandatory. For deeper research, models like Claude and Gemini are leading the way. #TechTips #AIRevolution #AnalyticsVidhya
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
The AI world is moving fast today! 🚀 From open-source agents to browser-controlling AI, here’s your TL;DR on the biggest updates: 🔹 NVIDIA unveils NemoClaw for open-source AI agents. 🔹 Mistral AI drops Mistral Small 4 (119B parameters). 🔹 Perplexity Comet can now control your browser to finish tasks. 🔹 OpenAI Codex introduces Subagents for parallel workflows. 🔹 Manus AI brings AI agents to your local desktop. The era of AI doing rather than just talking is officially here. 🤖💻 #AI #TechNews #GenerativeAI #NVIDIA #OpenAI #MistralAI
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
Stop tweaking your model and start building a better system. 🏗️🤖 "Harness Engineering" shifts the focus from just prompt engineering to creating a structured environment (system prompts, tools, and middleware) that guarantees reliable outputs. Check out this guide using LangChain’s DeepAgents and LangSmith to build a production-ready coding agent. 👇 analyticsvidhya.com/blog/2026/03/h… #AI #LangChain #LLMOps #GenerativeAI #SoftwareEngineering
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
🚀 Data Scientists, ready to prove your skills? We are hosting a Data Scientist Hiring Hackathon a unique opportunity to demonstrate your end-to-end data science expertise and get noticed for full-time roles. Why participate? ✔ Test your data science skills on a structured challenge ✔ Compete with talented data professionals ✔ Get shortlisted for exciting career opportunities Think you have what it takes? 👉 Register here: analyticsvidhya.com/datahack/conte…
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Analytics Vidhya@AnalyticsVidhya·
🔥 Hot off the press: This week's top AI research! ➡️ Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning – GOLF uses group feedback to guide RL exploration, boosting learning efficiency. This offers a practical approach for training LLMs with informative signals. 🔗 Full Paper: arxiv.org/abs/2603.04597 ➡️ Geometry-Guided Reinforcement Learning for Multi-view Consistent 3D Scene Editing – RL3DEdit leverages RL and pre-trained models to ensure multi-view consistency in 3D scene editing, without needing huge datasets. This enables faster and more data-efficient 3D editing. 🔗 Full Paper: arxiv.org/abs/2603.03143 ➡️ OpenClaw-RL: Train Any Agent Simply by Talking – OpenClaw-RL allows agents to improve through natural interactions, using next-state signals for live learning. It can optimize agent behavior directly from deployed environments. 🔗 Full Paper: arxiv.org/abs/2603.10165 Which breakthrough excites you most? Share your thoughts below!
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
LangChain is the secret sauce for reliable RAG pipelines. 🦜🧪 From Load → Split → Store → Retrieve → Generate, here is the breakdown of the ultimate AI developer stack. Bookmark this for your next build. 💾👇 #PromptEngineering #AIAgents #LangChain #CodingTips
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Analytics Vidhya@AnalyticsVidhya·
AI agents are systems, not single models. 🤖🏗️ To build production-ready agents, you need the right stack: 🧠 GPT/LRM – For reasoning & complex planning ⚡ MoE/SLM – For scale, speed & cost-efficiency 👁️ VLM – To "see" UI, diagrams & screenshots 🛠️ LAM – To take real-world actions via APIs Master the agentic stack in our FREE AI Agents Program! 🚀 🔗 Join here: analyticsvidhya.com/courses/learni…
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Analytics Vidhya
Analytics Vidhya@AnalyticsVidhya·
Strong prompts are structured, not accidental. 🏗️🤖 If your AI outputs feel vague, it's likely a prompting problem, not a model problem. The quality of your input directly shapes the quality of the results. Try these 4 frameworks to level up: 🔹 T-A-G (Task, Action, Goal) – For focused, direct results. 🔹 C-A-R-E (Context, Action, Result, Example) – For marketing & creative nuance. 🔹 R-A-C-E (Role, Action, Context, Expectation) – For persona-driven thinking. 🔹 R-I-S-E (Role, Input, Steps, Expectation) – For execution roadmaps. Stop typing one-liners. Start framing. 🚀 Which one is your go-to? 👇
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