🚀 Dừng giả vờ hiểu thuật ngữ AI! Ở đây là đường dẫn hoàn chỉnh từ học tập đến hệ thống tự động: Học (token → embedding → attention), Lưu (CSDL vector), Tìm (tìm kiếm ngữ nghĩa), Ứng dụng (RAG + Prompt), Hành động (MCP + Agent). Tránh bị lạc trong chuỗi AI bằng bản đồ 4 giai đoạn rõ ràng.

#AIBuzzwords #Developers #AIExplained #VietnamAI #MachineLearning #NLP #VectorDB #RAG #AgenticAI #CodeWithAI #UnderstandingAI #TechVietNam

https://dev.to/devvarsha/how-developers-can-stop-pretending-to-unde

Curious about AI but unsure where to start?
We tackle the top ‘why’ questions to clear up common doubts and spark your understanding of artificial intelligence.
Read more:
#aimartz #aimartz.com #AIQuestions #UnderstandingAI #TechInsights

https://aimartz.com/blog/frequently-asked-why-questions-about-ai/

🤖✨ Welcome to the parallel universe of "Understanding AI," where talking about reinforcement learning with "minimal math and jargon" actually means repeating the same phrase a dozen times until it loses all meaning. 🎓🔍 Because who needs #clarity when you can drown your audience in #buzzwords and call it a "deep dive"? 🌀📚
https://www.understandingai.org/p/reinforcement-learning-explained #UnderstandingAI #ReinforcementLearning #DeepDive #HackerNews #ngated
Reinforcement learning, explained with a minimum of math and jargon

To create reliable agents, AI companies had to go beyond predicting the next token.

Understanding AI
Reinforcement learning, explained with a minimum of math and jargon

To create reliable agents, AI companies had to go beyond predicting the next token.

Understanding AI

Understanding AI: Pros, Cons & Responsible Use

Explore the benefits and risks of AI, helping you make informed, cautious decisions for responsible application in various fields.

Read More : https://aileadersmagazine.com/understanding-the-pros-and-cons-of-ai-to-be-cautious-in-its-application/

#UnderstandingAI
#benefitsandrisksofAI
#ProsandCons
#AI
#aileadersmagazine

Understanding AI: Pros, Cons & Responsible Use

Explore the benefits and risks of AI, helping you make informed, cautious decisions for responsible application in various fields.

AI Leaders Magazine

🧠 Unveiling the Hidden Layers of AI: Understanding the 'Black Box' 📊

Ever wondered what makes AI tick? In my latest video, we dive deep into the 'hidden layers' of artificial intelligence, shedding light on the 'black box' that even experts don't fully understand.

🎬 Watch Now: https://www.youtube.com/watch?v=2FqscUaEH1k&list=PLecaVUVLHPqooXwrEGygjRMJT0K2GZQur&index=2
📥 Download Slides and Script: https://drive.google.com/file/d/1rL3ewdnhstdsuF7OXPSHT6pHfEZN-iq1/view?usp=sharing

#UnderstandingAI #AITransparency #DeepLearningTech #NeuralNetworkInsights #BackpropagationExplained #AIHiddenLayers #BlackBoxAI

Hidden Layers: AI's Invisible Mechanics

YouTube

Quick reminder that this is happening in a week's time, both in person in summerish Umeå, and online (whatever season you are currently experiencing):

What: Panel discussion on *The stories we tell (and are told) about AI*
When: Friday, May 24th, 14.15-15.45
Where: HumLab and Zoom

More information, and how to register for online participation here: https://www.umu.se/en/events/the-stories-we-tell-and-are-told-about-ai_11930541/

All welcome!

#understandingAI #aihype #AINarratives

The stories we tell (and are told) about AI

Yesterday, during a seminar series organised by Stevan Harnad in Montréal, I had the pleasure to present some of my joint work with @raphaelmilliere on grounding in Large Language Models, as well as more recent work of mine on understanding large AI systems through functional ontologies.

If you are interested, the recording can be found here:
https://www.youtube.com/watch?v=uZ5hjU7xAR8

(After an awkward attempt at French in the introduction, I quickly switch to English)

#PhilosophyOfAI #LLMs #understandingAI

SÉMINAIRE - DIC-ISC-CRIA - 21 septembre 2023 avec Dimitri COELHO MOLLO

YouTube

Nice (old-ish) post by Ryan O'Connor on emergent capabilities in LLMs. I particularly liked this passage:

"It would be useful to have an epistemological hierarchy of tasks, in which salient and measurable abilities are identified and listed as a required antecedent to more complicated tasks which utilize them. Such a hierarchy may help us begin to predict at what scale some emergent abilities may occur, or at least provide an ordering on the set."
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#LLMs #understandingAI #PhilosophyOfAI