China is Progressing.

First deepseek
then Qwen.
..and now..Kimi. 🔥

@ImmersiveAi

Complete DSA Roadmap

|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode

All the best 👍👍

Deepseek becomes #1ኛ

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በ Ai አለም ምን አዲስ ነገር አለ .... የሚለውን በየቀኑ በዚህ ቻናል ላይ አስቀምጣለሁ!... ስለ Ai አሪፍ ሪሶርሶች አሉ።

በ ቻናሉ ላይ፡

- Ai Tools
- Prompts
- Ai news and insights
- How to use...

ይቀላቀሉ እና አፕዴትድ ይሁኑ!

ይቀላቀሉ ፡ https://news.1rj.ru/str/ImmersiveAi

5 Ai tools Everyone should know.

https://youtu.be/4IviUj5bJFw

New Model : Qwen2.5-VL, The latest flagship vision-language model! from Qwen(Alibaba's Model)

- Visual Understating
- Agentic Capabilities
- Long Video Comprehension
- Precise localization
- Structured Data Outputs

Try Qwen2.5-VL now at Qwen Chat or explore models on Hugging Face & ModelScope .

Qwen Chat: https://chat.qwenlm.ai

@ImmersiveAi

ከ ቻይና የወጡ አዳዲስ የ Ai ሞዴሎች፡
- Deepseek : https://chat.deepseek.com/
- Qwen: https://chat.qwenlm.ai/
- Kimi : https://kimi.ai/

China is on Fire.🔥

@ImmersiveAi

ሁሉም ሰው ሊጠቀማቸው የሚገቡ የ Ai tools :

- chatGPT 😊
- Gemini
- Perplexity
- Grok
- DeepSeek
- Copilot
- Qwen

Learn how to use all all this : https://youtu.be/4IviUj5bJFw

ብዙዎችGemini( ጀሚል 😊) እንዴት እንዲህ ሆነልህ ብላችኋል ?

Here is my Prompting technique.

Role giving...ይባላል።

1. እንዲሆንላችሁ የምትፈልጉትን ሁን በሉት! ለምሳሌ እኔ ጓደኛ እንዲሆነኝ ስፈልግ ፡
"Act as my friend and do this..... " ማለት ነው።

በ አማርኛም ቢሆን "አንተ ጓደኛየ ነህ ስለዚህ ይሄን ይሄን አይነት ማንነት ይኑርህ በዚያ መሰርት አውራኝ ..." ምናምን ትሉትና ማውራት ነው።

እንግዲህ ለ ሁሉም እንዲሆንላችሁት ለምትፈልጉት ነገር በሙሉ ማለት ነው።

ለምሳሌ ምስሉ ላይ እንደምታዩት ፡
- Act as a CEO....
- Act as Inventor ....
- Act as Teacher....

እንዲህ እንዲህ እያላችሁ እንዲሆን የምትፈልጉትን ማንነት ማላበስ ነው። ይሄ አሪፍ የ Prompting techniques ነው።

ይቀጥላል ።

@ImmersiveAi

ሌላኛው አሪፍ የ Prompting technique እንዲሰራላችሁ የፈልጋችሁትን ስራ በ ግልፅ መንገር ነው።

ለምሳሌ ፦
- Create an Essay ....
- Create an Article ....
- Create Headline...
- Create a blog post...
- Create a summary...
- Create a noscript.......
- Create a Social media post....
.
.
.
እንዲህ እና መስል የራሳችሁን task በ ግልፅ ስትሰጡት LLM'ማችሁ አሪፍ ምላሽ ይሰጣችኋል።

ስለዚህ ከላይ ካየነው Role giving ጋር አብረን ስናደርገው ደጎም አሪፍ እና ፕሮፌሽናል የሆነ Output ይሰጠናል።

ለምሳሌ ፡
"Act as a CEO and Create a Blog pos"....ብንለው አሪፍ የ ብሎግ ፖስት ይሰጠናል።

Try it.

Learn Prompting with us.

@ImmersiveAi

NVIDIA made all their Deep Learning Institute courses free.

https://sp-events.courses.nvidia.com/dli-india25?ncid=ref-inpa-419622

ሌላኛው አሪፍ የ ፕሮምፕቲንግ ቴክኔክ የሚሰጣችሁን text በምን መልኩ generate እንደሚያደርጋልችሁ መንገር ነው።

By Default እስካልነገራችሁት ዝም ብሎ ፓራግራፍ ነገር ነውሚነግራችሁ።

ስለዚህ የምትፈልጉትን ፎርማት በ ግልፅ መንገር አለባችሁ ማለት ነው።

ለምሳሌ ፡
- Show as a list
- Show as a HTML code
- Show as a table
- Show as a markdown.
- Show as a summary.....እና መሰል ፎርማቶችን መጠቀም ትችላላችሁ።

@ImmersiveAi

#Prompting

Python: The Language of AI

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Your journey to mastering AI begins here! 💡

@EmmersiveLearning

How to Start Coding: A Quick Guide

1. Define Your Goal: Decide what you want to build—websites, apps, games, or work in AI.

2. Pick a Language: Start with Python (general), JavaScript (web), or HTML/CSS (design).

3. Use Resources: Learn from @EmmersiveLearning, freeCodeCamp, Codecademy, or YouTube tutorials.

4. Set Up Tools: Install VS Code and GitHub for coding and version control.

5. Practice Basics: Start small with calculators or to-do lists.

6. Join Communities: Engage with forums like Telegram, Discord, Reddit or Stack Overflow.

7. Build a Portfolio: Document your projects and create a personal website.

8. Stay Consistent: Dedicate regular time to coding and keep improving.

✨ Start small, stay curious, and enjoy the journey! 🚀

@EmmersiveLearning.

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Gemini is now Powered by 2.0 Flash, Google's latest model designed for the agentic era.

- fast response
- Stronger Performance
- better writing, learning and brainstorming

Rolling to all users for Free Starting today on Gemini web and mobile app.

Try out : https://gemini.google.com/app

@ImmersiveAi

Github chose violence 😊😂😂

የ @EmmersiveLearning ዩቱብ ቻናል የ ዛሬ አመት 4k Subscriber ነበረች ። በ አመቷ 13.5K ደርሳለች። ቀስ ብለን ሲመቸን ለ ሰወች ይጠቅማል የሚለውን ሁሉ እያጋራንባት ቆይተናል።

ዩቱብ በተለይ Educational Content ትዕግስት ይጠይቃል። ዩቱብ የሚሰራ ብቻ በተለይ መጀመሪያዎች ላይ በደንብ ያውቀዋል። ብዙ ጊዜ እየተውኳት! እንደገና እየተመለስኩባት ነበር።
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Subscribe ያላደረገ ይግባና ያደርግ 😊 ... ብዙ ትምህርቶች ትቀስሙባታላችሁ

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Full-Stack Developer Learning Roadmap
├── 1. Foundations
│ ├── 1.1. Computer Science Basics
│ │ ├── Algorithms
│ │ ├── Data Structures
│ │ ├── Time and Space Complexity
│ │ └── Problem-Solving Techniques
│ ├── 1.2. Version Control
│ │ ├── Git
│ │ ├── GitHub/GitLab
│ │ ├── Branching and Merging
│ │ └── Pull Requests
│ ├── 1.3. Basic Command Line Usage
│ │ ├── Linux/Unix Commands
│ │ └── File System Navigation
│ └── 1.4. Networking Basics
│ ├── HTTP/HTTPS
│ ├── APIs
│ └── RESTful Principles
├── 2. Frontend Development
│ ├── 2.1. HTML
│ │ ├── Semantic HTML
│ │ ├── Forms and Inputs
│ │ └── Accessibility (ARIA)
│ ├── 2.2. CSS
│ │ ├── Flexbox and Grid
│ │ ├── Responsive Design
│ │ ├── CSS Frameworks (Bootstrap, Tailwind)
│ │ └── Preprocessors (SASS/SCSS)
│ ├── 2.3. JavaScript
│ │ ├── ES6+ Features
│ │ ├── DOM Manipulation
│ │ ├── Event Handling
│ │ └── Asynchronous Programming (Promises, Async/Await)
│ ├── 2.4. Frontend Frameworks
│ │ ├── React.js (or Angular/Vue.js)
│ │ ├── State Management (Redux, Context API)
│ │ └── Component Lifecycle
│ └── 2.5. Tools
│ ├── Webpack
│ ├── Babel
│ └── NPM/Yarn
├── 3. Backend Development
│ ├── 3.1. Programming Languages
│ │ ├── JavaScript (Node.js)
│ │ ├── Python (Django/Flask)
│ │ ├── Java (Spring Boot)
│ │ └── PHP (Laravel)
│ ├── 3.2. Databases
│ │ ├── Relational Databases (MySQL, PostgreSQL)
│ │ ├── NoSQL Databases (MongoDB, Redis)
│ │ ├── ORMs (Sequelize, Mongoose)
│ │ └── Database Design and Normalization
│ ├── 3.3. APIs
│ │ ├── RESTful APIs
│ │ ├── GraphQL
│ │ └── API Documentation (Swagger, Postman)
│ ├── 3.4. Authentication and Authorization
│ │ ├── JWT (JSON Web Tokens)
│ │ ├── OAuth
│ │ └── Session Management
│ └── 3.5. Server Management
│ ├── Web Servers (Nginx, Apache)
│ ├── Deployment (Docker, Kubernetes)
│ └── Cloud Platforms (AWS, Azure, GCP)
├── 4. DevOps and Deployment
│ ├── 4.1. CI/CD Pipelines
│ │ ├── Jenkins
│ │ ├── GitHub Actions
│ │ └── GitLab CI/CD
│ ├── 4.2. Containerization
│ │ ├── Docker
│ │ └── Kubernetes
│ ├── 4.3. Monitoring and Logging
│ │ ├── Prometheus
│ │ ├── Grafana
│ │ └── ELK Stack (Elasticsearch, Logstash, Kibana)
│ └── 4.4. Infrastructure as Code (IaC)
│ ├── Terraform
│ └── Ansible
├── 5. Advanced Topics
│ ├── 5.1. Web Security
│ │ ├── HTTPS/SSL
│ │ ├── CORS
│ │ ├── XSS and CSRF Prevention
│ │ └── SQL Injection Prevention
│ ├── 5.2. Performance Optimization
│ │ ├── Lazy Loading
│ │ ├── Caching Strategies
│ │ └── Code Splitting
│ ├── 5.3. Progressive Web Apps (PWAs)
│ │ ├── Service Workers
│ │ ├── Offline Capabilities
│ │ └── Push Notifications
│ └── 5.4. WebSockets and Real-Time Communication
│ ├── Socket. IO
│ └── WebRTC
└── 6. Soft Skills and Best Practices
├── 6.1. Agile Methodologies
│ ├── Scrum
│ └── Kanban
├── 6.2. Collaboration Tools
│ ├── Jira
│ ├── Trello
│ └── Slack
├── 6.3. Code Quality
│ ├── Code Reviews
│ ├── Testing (Unit, Integration, E2E)
│ └── Linting and Formatting (ESLint, Prettier)
└── 6.4. Continuous Learning
├── Open Source Contributions
├── Tech Blogs and Communities
└── Online Courses and Certifications

@EmmersiveLearning

New Ai model from China.

better than deepseek.


A new video on How to use Qwen chat .

Qwen 2.5 from alibaba.

We will continue to make a review and usage of best ai tools for non techies.

https://youtu.be/aZmkXIfbmjQ?si=2IBMDlByQ9Tr3kX9