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#Llms Reel by @mavenhq (verified account) - Agentic AI roadmap. 

Start with system design, then learn deployment, then focus on autonomous agents. Comment "agent" for the links! #maven #ai #llm
80.8K
MA
@mavenhq
Agentic AI roadmap. Start with system design, then learn deployment, then focus on autonomous agents. Comment “agent” for the links! #maven #ai #llms #agenticai
#Llms Reel by @parasmadan.in (verified account) - Now run big LLM's on normal PC's

AirLLM hells makes running Ai Models easier

#airllm #llm #developer
160.0K
PA
@parasmadan.in
Now run big LLM’s on normal PC’s AirLLM hells makes running Ai Models easier #airllm #llm #developer
#Llms Reel by @leadgenman (verified account) - LLMs are AI models, but not all AI models are LLMs 👀

Here are 8 specialized architectures pushing AI beyond text:
1️⃣ LCMs - concept-level (Meta SON
161.0K
LE
@leadgenman
LLMs are AI models, but not all AI models are LLMs 👀 Here are 8 specialized architectures pushing AI beyond text: 1️⃣ LCMs – concept-level (Meta SONAR) 2️⃣ VLMs – vision + language 3️⃣ SLMs – small, fast edge models 4️⃣ MoE – efficient mixture of experts 5️⃣ MLMs – the OG masked models 6️⃣ LAMs – action-taking models (do tasks) 7️⃣ SAMs – pixel-level segmentation 8️⃣ LLMs – text + reasoning Each is built for a purpose: speed, size, or multimodality.
#Llms Reel by @zauey.talks (verified account) - The man who helped build modern AI just raised $1B to prove it's all wrong

🏆 Yann LeCun (Turing Award winner and ex-Meta AI chief) just closed a $1B
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@zauey.talks
The man who helped build modern AI just raised $1B to prove it’s all wrong 🏆 Yann LeCun (Turing Award winner and ex-Meta AI chief) just closed a $1B seed round at a $3.5B valuation for his new startup AMI 🧠 His thesis is that LLMs are just pattern matchers that predict text, and they’ll never get us to real intelligence 🌍 AMI is building “world models” - systems that learn from video, spatial data, and real-world interactions using a framework called JEPA #meta #yannlecun #startup #aimodel #tech
#Llms Reel by @jessramosdata (verified account) - comment "data" for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN!

84% of people have NEVER used AI. What level are y
108.0K
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@jessramosdata
comment “data” for full YouTube tutorial on how I built a LinkedIn Data Analyst AI Agent in 6 MIN! 84% of people have NEVER used AI. What level are you on?? Level 1 LLMs (You prompt, it responds): Claude, Gemini, and ChatGPT are fluent in language tasks, but they only predict based on your input. They don’t have awareness once you close down the chat window. Level 2 Agents (It works alongside you): Cursor, Zapier AI Agents, n8n, GitHub Copilot, and Claude Code. These combine a language model with real tools like browsers (Notion, Google Sheets, Slack, and more). You’re no longer in every loop. Level 3 Agentic AI (It works without you): ManusAI, Gemini Deep Research, Claude Research. These run in a continuous loop. One prompt, full output with no hand-holding required. Agents are reactive to your process, while agentic systems are autonomous. That distinction changes what’s actually possible!
#Llms Reel by @keerti.purswani (verified account) - Such interesting times!

#aiml #whitepapers #llms #softwareengineers
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@keerti.purswani
Such interesting times! #aiml #whitepapers #llms #softwareengineers
#Llms Reel by @iamswapnilsinha - Local LLMs? Nah, we're running Local Hypertrophy. 🦍💻

Prompting the model to automate my entire job so I can focus on the only "parameters" that mat
3.0M
IA
@iamswapnilsinha
Local LLMs? Nah, we’re running Local Hypertrophy. 🦍💻 Prompting the model to automate my entire job so I can focus on the only “parameters” that matter: these arms. Zero hallucinations, 100% muscle saturation. “Make no mistakes” isn’t just a prompt; it’s a lifestyle. #claude #AI #GigaChad #AIRevolution #PromptEngineering
#Llms Reel by @datasciencebrain (verified account) - 🎓 FREE Stanford AI & ML Courses You Can't Miss!

Stanford just dropped 11 game-changing courses that'll take you from ML basics to cutting-edge LLMs
655.2K
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@datasciencebrain
🎓 FREE Stanford AI & ML Courses You Can't Miss! Stanford just dropped 11 game-changing courses that'll take you from ML basics to cutting-edge LLMs - and they're all FREE! 🚀 Whether you're starting your AI journey or leveling up your skills, this is your roadmap: ✅ Machine Learning fundamentals ✅ Deep Learning & Computer Vision ✅ Reinforcement Learning ✅ NLP & Transformers ✅ Generative AI & LLMs ✅ Building Language Models from scratch No fluff. No gatekeeping. Just world-class education from Stanford's top professors. The best part? You can learn at your own pace and build a portfolio that stands out. Which course are you starting with? Drop a number 1-11 in the comments! 👇 ⚠️ ALL COURSES ARE ON YOUTUBE. JUST SEARCH WITH THE NAMES. Save this post and share it with someone leveling up their AI career in 2025! 💡 📲 Follow @datasciencebrain #datasciencebrain for Daily Notes 📝, Tips ⚙️ and Interview QA🏆 . . . . . . [datascienceroadmap, airoles, mlengineerpath, datasciencejobs, analyticscareer, datatechskills, mlopsengineer, dataengineerskills, aiindustrytrends, techlearningguide] #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp
#Llms Reel by @jam.with.ai (verified account) - 7 AI Engineering Skills. 7 YouTube Videos. All Free.

every AI engineer needs these in 2026:

→ LangGraph - build AI agents with Python
→ Claude Code
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@jam.with.ai
7 AI Engineering Skills. 7 YouTube Videos. All Free. every AI engineer needs these in 2026: → LangGraph — build AI agents with Python → Claude Code — get started fast → AI Skills — why these matter more than you think → OpenClaw — every AI engineer I know has worked with it; companies are already building their own → Agent Evaluation — if you’re not testing your agents you’re guessing → LLMs — understand them deeply in one hour → LLMOps — deploy models in production like a pro I curated the exact YouTube video for each one comment “youtube” and I’ll DM you all 7 links [AI engineer, AI engineering, AI agents, LangGraph, Claude Code, OpenClaw, LLMOps, LLM evaluation, machine learning, AI skills 2026]
#Llms Reel by @zuhrah.tech - Interview Question for AI Engineers 👇

Q: How do you handle hallucinations in LLMs?

Most candidates say:
"Prompt it better."

That's not what interv
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@zuhrah.tech
Interview Question for AI Engineers 👇 Q: How do you handle hallucinations in LLMs? Most candidates say: “Prompt it better.” That’s not what interviewers are looking for. I want to see how you would solve it 👀 So don’t Google it. 💬 Comment your answer and I’ll DM you the complete, production-ready approach. (Yes, with RAG, validation & guardrails.) Save this if you’re preparing for AI roles. #AIEngineer #LLM #GenAI #TechInterviews #MachineLearning
#Llms Reel by @artificialintelligencetimes (verified account) - ⚠️ AI Is Hitting a Compute Wall

Everyone thinks bigger AI models will automatically become smarter.

But new research suggests something different.
79.8K
AR
@artificialintelligencetimes
⚠️ AI Is Hitting a Compute Wall Everyone thinks bigger AI models will automatically become smarter. But new research suggests something different. Even the most advanced LLMs and generative AI systems are starting to hit what experts call the Efficient Compute Frontier. Meaning this: Adding more GPUs, data, and compute power doesn’t always lead to better intelligence. At some point, the gains become smaller… while the costs explode. This is why the next AI breakthrough may not come from bigger models. It may come from smarter architectures, better training methods, and more efficient AI agents. The race is shifting from who has the most compute to who builds the most efficient intelligence. ⚡ The next era of artificial intelligence may be about efficiency, not scale. Do you think bigger AI models will continue dominating the industry? Comment Scale or Efficiency below 👇 Save this post if you follow the future of AI. #artificialintelligence #generativeai #llm #aiagents #machinelearning
#Llms Reel by @sayed.developer (verified account) - How do LLMs understand all languages?🤯 
It doesn't "learn" English, Arabic, or Japanese like humans do. It learns patterns. Every sentence gets broke
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@sayed.developer
How do LLMs understand all languages?🤯 It doesn’t “learn” English, Arabic, or Japanese like humans do. It learns patterns. Every sentence gets broken into tiny pieces called tokens, those pieces get merged, reused, and shared across languages. No grammar rules, no language switch, just math and patterns. That’s why it can understand English, Arabic, and even emojis 🤖🔥 in the same prompt. AI isn’t multilingual, it’s pattern-lingual. Save this for your next interview for the AI Engineer role 🚀🚀and follow for more🫡

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