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Immersive Ai

Immersive Ai

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AI Excellence for Every Journey! A weekly newsletter about the latest on AI - news, insights, tutorials and prompts. Contact Me : @MehammedTeshome Subcribe : https://immersiveai-newsletter.beehiiv.com/

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Jelani Nelson Joined Anthropic. We all learn algorithm from him in this video of Harvard. ๐Ÿ˜Š He is also the founder of Addis
Jelani Nelson Joined Anthropic. We all learn algorithm from him in this video of Harvard. ๐Ÿ˜Š He is also the founder of Addis Coder here in Ethiopia.

๐Ÿ˜‚๐Ÿ˜‚
๐Ÿ˜‚๐Ÿ˜‚

Dad is back ๐Ÿ˜
Dad is back ๐Ÿ˜

They just killed bunch of startups.
They just killed bunch of startups.

Fable 5 is coming...
Fable 5 is coming...

Sonnet 5. ๐Ÿ˜ณ
Sonnet 5. ๐Ÿ˜ณ

Two new models from Google today: Nano Banana 2 Lite for images, Gemini Omni Flash for video.
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Two new models from Google today: Nano Banana 2 Lite for images, Gemini Omni Flash for video.

Meituan, trained a 1.6T parameter LLM on 50K Chinese chips.
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Meituan, trained a 1.6T parameter LLM on 50K Chinese chips.

Ai Engineer Roadmap.
Ai Engineer Roadmap.

๐Ÿ˜Š๐Ÿ˜
๐Ÿ˜Š๐Ÿ˜

OpenAi introduce 3 new SOTA GPT-5.6 family models. GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna. ๐Ÿคฏ๐Ÿคฏ๐Ÿคฏ @ImmersiveAi
OpenAi introduce 3 new SOTA GPT-5.6 family models. GPT-5.6 Sol, GPT-5.6 Terra, GPT-5.6 Luna. ๐Ÿคฏ๐Ÿคฏ๐Ÿคฏ @ImmersiveAi

Anyone can build anything now, But.
Anyone can build anything now, But.

Repost from Muhammed Teshome
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!.

Another Open Source model dropped. The new Ornith-1.0 family (9B dense up to 397B MoE) just dropp
Another Open Source model dropped. The new Ornith-1.0 family (9B dense up to 397B MoE) just dropp

Repost from Emmersive Learning
แ‰ฅแ‹™ แˆฐแ‹Žแ‰ฝ แ‹จ Python full course แŠฅแŠ•แ‹ณแ‹˜แŒ‹แŒ€แŠ• แ‹ซแˆ‹แ‹ˆแ‰ƒแ‰ฝแˆ แŠ แˆ‹แ‰ฝแˆแข แ‹จ 8 แˆฐแ‹“แ‰ต แˆ™แˆ‰ แŠฎแˆญแˆต แ‹ฉแ‰ฑแ‰ฅ แ‰ปแŠ“แˆ‹แ‰ฝแŠ• แˆ‹แ‹ญ แŠ แˆˆแˆ‹แ‰ฝแˆแข แ‰ฅแ‹™แ‹Žแ‰ฝ แ‹จแ‰ฐแˆ›แˆฉแ‰ แ‰ตแŠ“ แ‹จแ‹ˆแ‹ฐแ‹ฑแ‰ต แАแ‹แข แ‰ แ‰ฐแˆˆแ‹ญ แˆˆ แ•แˆฎแŒแˆซแˆšแŠ•แŒ แŠ แ‹ฒแˆต
แ‰ฅแ‹™ แˆฐแ‹Žแ‰ฝ แ‹จ Python full course แŠฅแŠ•แ‹ณแ‹˜แŒ‹แŒ€แŠ• แ‹ซแˆ‹แ‹ˆแ‰ƒแ‰ฝแˆ แŠ แˆ‹แ‰ฝแˆแข แ‹จ 8 แˆฐแ‹“แ‰ต แˆ™แˆ‰ แŠฎแˆญแˆต แ‹ฉแ‰ฑแ‰ฅ แ‰ปแŠ“แˆ‹แ‰ฝแŠ• แˆ‹แ‹ญ แŠ แˆˆแˆ‹แ‰ฝแˆแข แ‰ฅแ‹™แ‹Žแ‰ฝ แ‹จแ‰ฐแˆ›แˆฉแ‰ แ‰ตแŠ“ แ‹จแ‹ˆแ‹ฐแ‹ฑแ‰ต แАแ‹แข แ‰ แ‰ฐแˆˆแ‹ญ แˆˆ แ•แˆฎแŒแˆซแˆšแŠ•แŒ แŠ แ‹ฒแˆต แ‹จแˆ†แŠ“แ‰ฝแˆ แ‰ แ‹šแˆ… แŠฎแˆญแˆต แ‰ฅแ‰ตแŒ€แˆแˆฉ แŠ แˆชแ แАแ‹แข Go check it. Link : https://youtu.be/VZKNq5xHP-4?si=sAYnbNYXS3Npmp0i

GPT-5.5 instant is released.
GPT-5.5 instant is released.

OpenAIโ€™s new GPT-5.5-Cyber model beat Mythos 5 on the CyberGym benchmark.
OpenAIโ€™s new GPT-5.5-Cyber model beat Mythos 5 on the CyberGym benchmark.

MACHINE LEARNING โ€” MASTER TREE ๐ŸŒฒ Machine Learning โ”‚ โ”œโ”€โ”€ 01. Mathematics โ”‚ โ”œโ”€โ”€ Linear Algebra โ”‚ โ”œโ”€โ”€ Probability โ”‚ โ”œโ”€โ”€ Statistics โ”‚ โ”œโ”€โ”€ Calculus โ”‚ โ”œโ”€โ”€ Optimization โ”‚ โ””โ”€โ”€ Information Theory โ”‚ โ”œโ”€โ”€ 02. Python Foundations โ”‚ โ”œโ”€โ”€ NumPy โ”‚ โ”œโ”€โ”€ Pandas โ”‚ โ”œโ”€โ”€ Matplotlib โ”‚ โ”œโ”€โ”€ Seaborn โ”‚ โ”œโ”€โ”€ APIs โ”‚ โ””โ”€โ”€ Data Cleaning โ”‚ โ”œโ”€โ”€ 03. Data Preprocessing โ”‚ โ”œโ”€โ”€ Missing Values โ”‚ โ”œโ”€โ”€ Feature Engineering โ”‚ โ”œโ”€โ”€ Encoding โ”‚ โ”œโ”€โ”€ Scaling โ”‚ โ”œโ”€โ”€ Data Splitting โ”‚ โ””โ”€โ”€ Feature Selection โ”‚ โ”œโ”€โ”€ 04. Supervised Learning โ”‚ โ”œโ”€โ”€ Linear Regression โ”‚ โ”œโ”€โ”€ Logistic Regression โ”‚ โ”œโ”€โ”€ Decision Trees โ”‚ โ”œโ”€โ”€ Random Forest โ”‚ โ”œโ”€โ”€ XGBoost โ”‚ โ””โ”€โ”€ SVM โ”‚ โ”œโ”€โ”€ 05. Unsupervised Learning โ”‚ โ”œโ”€โ”€ K-Means โ”‚ โ”œโ”€โ”€ DBSCAN โ”‚ โ”œโ”€โ”€ Hierarchical Clustering โ”‚ โ”œโ”€โ”€ PCA โ”‚ โ”œโ”€โ”€ t-SNE โ”‚ โ””โ”€โ”€ Dimensionality Reduction โ”‚ โ”œโ”€โ”€ 06. Deep Learning โ”‚ โ”œโ”€โ”€ Neural Networks โ”‚ โ”œโ”€โ”€ CNNs โ”‚ โ”œโ”€โ”€ RNNs โ”‚ โ”œโ”€โ”€ LSTMs โ”‚ โ”œโ”€โ”€ Transformers โ”‚ โ””โ”€โ”€ Attention Mechanisms โ”‚ โ”œโ”€โ”€ 07. MLOps โ”‚ โ”œโ”€โ”€ Docker โ”‚ โ”œโ”€โ”€ Kubernetes โ”‚ โ”œโ”€โ”€ MLflow โ”‚ โ”œโ”€โ”€ Model Registry โ”‚ โ”œโ”€โ”€ Monitoring โ”‚ โ””โ”€โ”€ CI/CD for ML โ”‚ โ”œโ”€โ”€ 08. Generative AI โ”‚ โ”œโ”€โ”€ LLMs โ”‚ โ”œโ”€โ”€ Prompt Engineering โ”‚ โ”œโ”€โ”€ RAG โ”‚ โ”œโ”€โ”€ Fine-Tuning โ”‚ โ”œโ”€โ”€ Agents โ”‚ โ””โ”€โ”€ MCP โ”‚ โ”œโ”€โ”€ 09. Deployment โ”‚ โ”œโ”€โ”€ FastAPI โ”‚ โ”œโ”€โ”€ Flask โ”‚ โ”œโ”€โ”€ Cloud Deployment โ”‚ โ”œโ”€โ”€ APIs โ”‚ โ”œโ”€โ”€ Edge AI โ”‚ โ””โ”€โ”€ Inference Optimization โ”‚ โ””โ”€โ”€ 10. Future of ML โ”œโ”€โ”€ AI Agents โ”œโ”€โ”€ Multimodal AI โ”œโ”€โ”€ Robotics โ”œโ”€โ”€ Autonomous Systems โ””โ”€โ”€ AGI Research

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Ai is becoming the invisible author of the meaning we live by, without us even noticing. We need meaning as humans.
Ai is becoming the invisible author of the meaning we live by, without us even noticing. We need meaning as humans.