Siddhant

@MuthuKamalan @rohit_negi9 Yt Coder Army

@sid74078 @rohit_negi9 which one you're following yt or books

Today's Learning: LLD✅ (Problem Statement 2 : Food Delivery App) - Created a clean UML diagram. - Applied the design principles learnt till now. - Understood the tradeoffs we need to make while building any LLD.

Today's Learning: Low Level Design✅: - Studied three design patterns. 1) Strategy Design Pattern - Separating algorithms into independent classes. 2) Singleton Pattern - Ensuring only one instance can be created. 3) Factory Pattern - Creating object without exposing logic.

Todays Work: LLD✅: - Made my first LLD project a simple Document Editor. - Applied SOLID design principle. Thank you @rohit_negi9 @adityatandon02 for such good LLD series.

Today's Work: 1) LLD✅ : - Learnt about SOLID design principles. - Learnt the necessity of each principle to write a maintainable code 2) DevLearning Platform✅: - Working on the content.

@oscargaske Sure I'll add it.

@sid74078 Pretty cool! Small nitpick, as a user I'd like to be able to click on these icons and be taken to the respective lesson:

I vibe-coded a basic learning platform. The content is still a work in progress, but I'd love some feedback on the UI and overall look. Please check it out! sldev.netlify.app

@firstlove0211 I don't know Django myself. If I learn it I will add it too.

@sid74078 Could you make one for Django too

@aqueous_NaOH Ok I will improve it. Thanks for feedback.

@sid74078 Mobile Version not looking comfortable bro.

Today's Update: 1. FullStack Project (Coding Platform)✅: - Homepage (filters, problem fetching) - Editor Section (Customizable editor) 2. DSA Revision✅ - Solved 10 easy array problems - 1 med lvl problem on array Will make editor section functional next

Past few days update DSA ✅ Completed the DSA series by @rohit_negi9. Will keep practicing problems consistently. GenAI ✅ Started Deep Learning. Learned how a single neuron models linear relationships and how neural networks capture non-linear patterns.

@X8Rutik @rohit_negi9 Ok

@sid74078 @rohit_negi9 Let's Connect..!🤝

This weeks update: 1. DSA✅: - Learnt different algorithms (Graph) like: Kruskals, Prims, Dijkstra, Bellman Ford. 2. GenAI✅: - Cleared all the backlogs of the course. - Started implementing simple projects using whatever I have learnt so far. @rohit_negi9

@CoderArmy @rohit_negi9 Rohit bhaiya ek video mein sanyas lene ki baat kar rahe the, lagta hai unhone guruji ko bhi apne team mein shamil kar liya hai.

Aaj ka gyaan 🙂

Work of (3-4 March): 1. DSA✅ - Solved 7 graph med lvl question with different concepts. - Learnt Kahn's algorithm 2. GenAI✅ - Started with langraph, understood its need, and concepts like (nodes, edges, state and checkpoints). Resources: rohittnegi.akamai.net.in/new-courses

@M56957992Pritam @rohit_negi9 @CoderArmy Keep learning

✅Day 59 Built the indexing layer of a RAG system in Node.js What I learned • Load a PDF into structured docs • Chunk text for retrieval • Convert text into vectors (embeddings) • RAG is a pipeline, not just an LLM PDF → Chunks → Vectors #GenAI #Strike Day12

Updates of past few days : GenAI✅: - Understood graph db and graph rag in great detail, when to use it and when not to use it. - Created a movie recommendation project, understood the workflow all thanks to @rohit_negi9 DSA✅: - Revised graph(DFS, BFS), solved few prblms

Today's Work: GenAI✅: - Understood the limitations of Normal RAG and Agentic RAG. - Got an overview of GraphRAG. BlockChain✅: - Learnt a bit more about Ethereum. Resources : rohittnegi.akamai.net.in/new-courses

Today's Work: 1. GenAI✅: - Learnt about RAG. - Indexing and query phase. - Implemented a basic RAG model that can give answers on the basis of the pdf provided. Now working on: - Storing chat history in a vector database for better contextual retrieval. - Summary of older chats.

@harsh_rawa47363 Coder army

@sid74078 Genai from where!!

Today's Work: 1. GenAI✅(3hr): - Learnt about HNSW algorithm in great detail - (working, inserting of new item, drawbacks) - studied product quantization compression technique, how it can get combined with ANN. 2. Blockchain✅(1hr): - Overview about ethereum and smart contracts.