laxmikant pandit

Engineer by Education | Data Analyst by Profession | ML & AI Engineer by Interest | Turning data into insights 📊

[Shraddha Bharuka @BharukaShraddha]

Top 5 AI Coding Tools in 2026 💻

1/ Claude Code

Best for:
• Large codebases
• Agent workflows
• Refactoring

[Sripathi Teja @sripathiteja4]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/9EduZDcj9Z

2 - Google:
https://t.co/99Czpf5KKs

3 - Meta:
https://t.co/dBBKUQueyj

4 - NVIDIA:
https://t.co/8jpLrGJzxy

5 - Microsoft:
https://t.co/wmK2R8oilJ

6 - OpenAI:
https://t.co/ifQ8cEx0Qt

7 - IBM:
https://t.co/QFGI0v8Cqa

8 - AWS:
https://t.co/nati5WaARH

9 - https://t.co/0vjKn1mtg2:
https://t.co/bOlcLMfgyd

10 - Hugging Face:
https://t.co/bmSTfzCvB4

👇Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[Dhairya @dkare1009]

People are now building income sources using Claude... in just days.

Not months. Not years. Just prompts.

Here are 10 prompts you can copy directly and start earning from them 👇

[Dhairya @dkare1009]

RAG is no longer just "vector search + LLM."

In 2026, the real question isn't:

❌ Which vector database should we use?

It's:

✅ Which retrieval architecture does this use case need?

5 RAG architectures every AI builder should know 👇

1. Hybrid RAG
→ Vector search + keyword search
Best when semantics alone aren't enough.

2. GraphRAG
→ Uses entities and relationships
Best for reasoning across connected information.

3. Agentic RAG
→ Retrieval becomes a planning process
Agents decide when, where, and how to search.

4. Corrective RAG (CRAG)
→ Validates retrieved results before using them
Can rewrite queries or retry retrieval when confidence is low.

5. Multimodal RAG
→ Retrieves from text, images, charts, and tables
Essential for enterprise documents and visual data.

The biggest misconception:

RAG isn't a single architecture.

It's a design space.

Different problems require different retrieval strategies.

Support bots, legal research, finance assistants, healthcare systems, and enterprise search all need different approaches.

The future of RAG isn't just better embeddings.

It's better retrieval design.

Which RAG architecture do you think will dominate in 2026? 👇

#AI #RAG #LLM #AIAgents #MachineLearning

[Dhairya @dkare1009]

Leave Netflix this week.
Leave your date this week.
Leave social media this week.
Leave everything else this week.

Just for this week!!!
600+ courses are completely FREE on DataCamp.

Most bootcamps charge $5K+ for what you
can learn this week for $0.

I built you my personalised AI Engineering roadmap to get started and complete it this week:

1️⃣ 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 (𝐃𝐚𝐲 𝟏-𝟐)
→ Python Programming Fundamentals
https://t.co/QZ4B5UqLGj
→ Building APIs in Python
https://t.co/ZUykufti43

2️⃣ 𝐂𝐨𝐫𝐞 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐃𝐚𝐲 𝟑-𝟓)
→ Large Language Models (LLMs) Concepts
https://t.co/dEYCXcB3GH
→ Introduction to Embeddings
https://t.co/sEiLNxVMA6
→ Developing LLM Applications with LangChain
https://t.co/WPdjSh6Z0p

3️⃣ 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 (𝐃𝐚𝐲 𝟔-𝟕)
→ Retrieval Augmented Generation (RAG)
https://t.co/M2kQncK9vB
→ Introduction to AI Agents
https://t.co/EFsrJOuD1u
→ Building Scalable Agentic Systems
https://t.co/EST7RreqKC
→ LLMOps Concepts
https://t.co/ss88a3I78m

Or follow complete career tracks:

→ ML Engineer Track
https://t.co/M9ZlUSJUIn
→ Data Scientist Track
https://t.co/nQULNtX2FU
→ AI Engineer for Data Scientists Track
https://t.co/9msxqLAiwW

And focus on building Real-World Projects:
https://t.co/09uvDYbmsL

I have personally used DataCamp for learning SQL and Python in the past
and I would highly recommend taking the complete benefit of this week!

Above roadmap needs dedication and time investment
And it’s achievable!
And totally worth it!

No Credit Card.
All FREE!
You have 7 days!

♻️ Repost to share with others 💚

[Aman Kharwal @amankk_9]

Build these GenAI Projects to Get Hired.
https://t.co/JXJsnqe6FV

[laxmikant pandit @cloudashu]

✅ Production AI infrastructure
✅ AI Safety
Plus learn across: 🐍 Python | ⚡ TypeScript | 🦀 Rust | 📊 Julia
A great resource for aspiring AI Engineers, ML Engineers, and Data Scientists.
GitHub: https://t.co/7detjK4PaR⁠�
#AI #MachineLearning #AIEngineering #DataScience #LLM

[laxmikant pandit @cloudashu]

🚀 Found one of the most complete FREE AI Engineering roadmaps on GitHub.
📚 435 lessons
🗺️ 20 phases
⏱️ ~320 hours
You don't just use AI—you build it from scratch:
✅ Backpropagation
✅ Tokenizers
✅ Attention mechanisms
✅ Agent loops & multi-agent systems

[laxmikant pandit @cloudashu]

@JobFound5 Interested

[laxmikant pandit @cloudashu]

@JobFound5 I am interested

[laxmikant pandit @cloudashu]

@remote_jobs_hub Interested!

[laxmikant pandit @cloudashu]

@MFuturewala @TotaAntim Fir jayada gyan kyun de raha hai ......tu nachta hai apni Masjid main to koi mana nehi kar raha vaise he naach jayada gyan mat de hindu - muslim wala

[laxmikant pandit @cloudashu]

@Earnerfun Why don't you give the full information and links to apply? May you just here for bluff !

[laxmikant pandit @cloudashu]

@JobFound5 How to apply?

[laxmikant pandit @cloudashu]

📚 Text generation pipeline

Perfect for: ✅ AI engineers
✅ Data scientists
✅ ML interview prep
✅ Custom LLM builders

Stop being just an AI user. Become an AI builder.

🔗 https://t.co/2nGaYUxS6i

#AI #LLM #MachineLearning #PyTorch #GenerativeAI #OpenSource

[laxmikant pandit @cloudashu]

Most people use AI.
Very few understand how it actually works.

🚀 Want to build a GPT-like model from scratch?

No black-box APIs.
No hidden magic.
Just pure PyTorch.

Learn how to build: 🧠 Tokenizer
⚙️ Transformer
📉 Training loop
🔍 Attention mechanisms

[laxmikant pandit @cloudashu]

@CommonBS786OM Tu to mat he bol ......hindu aur muslim, mujhe to samajh nehi aaraha tujhe follow kaun karta hai !

[laxmikant pandit @cloudashu]

@HansrajMeena Meena ji vahan aarakshan nehi hai ! Is per bhi to dhyan de! Bharat main 50%aarkshan hai ! Fir aap baat karte hai ki china ne ye kar diya vo kar diya !

[laxmikant pandit @cloudashu]

@ssukhdev737 Manmohan Singh indeed was very good but he is just a puppet PM, of congress led Soniya Gandhi! That is the only truth!

[laxmikant pandit @cloudashu]

@Earnerfun Interested