Immersive Ai
СтатистикаLearn AI. Build with AI. Shape the Future!. Immersive AI helps you master artificial intelligence through practical tutorials, AI news, tools, workflows and prompts. Contact Me : @MehammedTeshome Subcribe : https://immersiveai-newsletter.beehiiv.com/
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Посты
AI Engineering skills map by andrew ng.
Regression Algorithms.
😊😭
New Video : SciKit-Learn Course for Machine Learning. Train your data with Scikit Learn. https://youtu.be/hJuYeIcn91c
Boom... Zai released GLM-5.3. comparable to Fable and GPT-5.6 Sol. @ImmersiveAi
What is computer history ?
ChatGPT can now know your computer history. I don't like this to be honest 😊 It means.... it known almost everything you do on your computer. 😳 What do you guys think about this ? @ImmersiveAi
без подписи
Google released Gemini 3.7 Flash
You can learn Numpy here : https://youtu.be/mIgz-n5vMQY
EDA with Numpy.
The most important Meta Skill in the Ai era is : Learning how to learn with AI. Instead of only just reading one book, Ask AI to: - explain it - quiz you - debate you - generate projects - create flashcards - simulate experts - find weaknesses AI becomes your personal university. @ImmersiveAi
без подписи
Deepseek launched DeepSeek-V4-Pro today! 🚀 @ImmersiveAI
Probability Distributions.
SpaceXAI just released Grok 4.6.
Types of Machine Learning @ImmersiveAi
The-history-of-llms/ | ├── 2017/ │ ├── transformer/ │ ├── research-papers/ │ ├── architectures/ │ ├── companies-labs/ │ └── major-events/ │ ├── 2018/ │ ├── gpt-1/ │ ├── bert/ │ ├── elmo/ │ ├── research-papers/ │ ├── architectures/ │ ├── companies-labs/ │ ├── 2019/ │ ├── gpt-2/ │ ├── t5/ │ ├── xlnet/ │ ├── roberta/ │ ├── research-papers/ │ ├── architectures/ │ ├── companies-labs/ │ ├── 2020/ │ ├── gpt-3/ │ ├── turing-nlg/ │ ├── 2021/ │ ├── codex/ │ ├── gopher/ │ ├── switch-transformer/ │ ├── research-papers/ │ ├── architectures/ │ ├── companies-labs/ │ ├── 2022/ │ ├── chinchilla/ │ ├── palm/ │ ├── opt/ │ ├── bloom/ │ ├── instructgpt/ │ ├── chatgpt/ │ ├── research-papers/ │ ├── architectures/ │ ├── companies-labs/ │ ├── 2023/ │ ├── gpt-4/ │ ├── claude/ │ ├── llama/ │ ├── llama-2/ │ ├── falcon/ │ ├── mistral-7b/ │ ├── mixtral/ │ ├── qwen/ │ ├── palm-2/ │ ├── gemini/ │ ├── deepseek/ │ ├── 2024/ │ ├── gpt-4o/ │ ├── claude-3/ │ ├── claude-3.5/ │ ├── gemini-1.5/ │ ├── llama-3/ │ ├── llama-3.1/ │ ├── llama-3.2/ │ ├── llama-3.3/ │ ├── mistral-large/ │ ├── mixtral-8x22b/ │ ├── qwen2/ │ ├── qwen2.5/ │ ├── deepseek-v2/ │ ├── deepseek-v3/ │ ├── phi-3/ │ ├── phi-4/ │ ├── gemma/ │ ├── gemma-2/ │ ├── command-r/ │ ├── jamba/ │ ├── dbrx/ │ ├── falcon-2/ │ ├── falcon-3/ │ ├── aya-23/ │ ├── exaone/ │ ├── hyperclova-x/ │ ├── 2025/ │ ├── deepseek-r1/ │ ├── gpt-4.5/ │ ├── o3/ │ ├── o4-mini/ │ ├── claude-4/ │ ├── gemini-2.5/ │ ├── llama-4/ │ ├── grok-3/ │ ├── grok-4/ │ ├── qwen3/ │ ├── qwen3-coder/ │ ├── glm-4.5/ │ ├── glm-4.6/ │ ├── kimi-k2/ │ ├── minimax-m2/ │ ├── mistral-small-3/ │ ├── magistral/ │ ├── devstral/ │ ├── command-a/ │ ├── gemma-3/ │ ├── exaone-4/ │ ├── jamba-1.6/ │ ├── jamba-1.7/ │ ├── falcon-h1/ │ └── 2026/ ├── gpt-5.3/ ├── gpt-5.4/ ├── gpt-5.5/ ├── gpt-5.6/ ├── claude-opus-4.6/ ├── claude-opus-4.8/ ├── claude-sonnet-4.6/ ├── claude-sonnet-5/ ├── gemini-3.1/ ├── deepseek-v4/ ├── qwen3.5/ ├── qwen3.7/ ├── kimi-k2.6/ ├── kimi-k3/ ├── glm-5/ ├── minimax-m2.7/ ├── minimax-m3/ ├── step-3.5/ ├── mimo/ ├── mistral-small-4/ ├── mistral-medium-3.5/ ├── lfm2.5/ ├── exaone-4.5/ ├── sarvam/ ├── openeurollm/ @ImmersiveAi
A simple way to think about AI agents: LLM = reasoning Tools = actions Memory = context Agents combine all three. @ImmersiveAI
Deep Learning Architectures.