Shuddhay kurankar

[Indian Tech & Infra @IndianTechGuide]

🚨 Nike will become the official kit partner for the IPL team Mumbai Indians from the 2027 season.

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@TheCoderShow @claudeai @mitadtpune @AnthropicAI Phirse mera invite accept nahi hua🥲🥲

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10 GitHub Repositories Every AI Engineer Should Bookmark 📌

If you want to become an AI Engineer, don't just learn how models work.

Learn how to build, deploy, evaluate, and scale AI systems.

Here are 10 GitHub repositories worth keeping bookmarked 👇

1. Hands-On Large Language Models

HandsOnLLM/Hands-On-Large-Language-Models

Learn LLMs by building.

Covers:

• Embeddings
• Transformers
• RAG
• Fine-tuning
• Semantic search
• LLM applications

GitHub: https://t.co/GVNVpYLtmh…

2. LLM Course

mlabonne/llm-course

A roadmap for going from LLM fundamentals to advanced topics.

Explore:

• LLM architectures
• Fine-tuning
• Quantization
• RAG
• Agents
• Deployment

GitHub: https://t.co/UhPouzTHMj…

3. Made With ML

GokuMohandas/Made-With-ML

Great for learning how to take ML projects from experimentation to production.

Covers:

• Data
• Modeling
• Evaluation
• Deployment
• MLOps
• Production ML

GitHub: https://t.co/CxDntEEbeO…

4. GenAI Agents

NirDiamant/GenAI_Agents

Want to understand how modern AI agents are actually built?

Explore examples of:

• Tool use
• Planning
• RAG agents
• Memory
• Multi-agent systems
• Agent workflows

GitHub: https://t.co/wym7wqiprM…

5. vLLM

vllm-project/vllm

Learn how LLM inference works at scale.

Useful for understanding:

• High-throughput inference
• Model serving
• KV cache
• Distributed inference
• Production LLM APIs

GitHub: https://t.co/dxCHBTltpW…

6. llama.cpp

ggml-org/llama.cpp

Want to run LLMs locally?

This is one of the most important projects to explore.

Learn about:

• Local LLM inference
• Quantization
• CPU/GPU inference
• Model optimization
• Running models on consumer hardware

GitHub: https://t.co/NBZGIlI4zt…

7. Haystack

deepset-ai/haystack

A powerful framework for building production AI applications.

Explore:
• RAG
• Pipelines
• Agents
• Retrieval
• Document processing
• LLM applications

GitHub: https://t.co/TvyziKkpqr…

8. LlamaIndex

run-llama/llama_index

Useful for connecting LLMs with your own data.

Learn about:

• RAG
• Data ingestion
• Vector search
• Agents
• Knowledge bases
• Document retrieval

GitHub: https://t.co/Prse73AAQb…

9. LiteLLM

BerriAI/litellm

Building applications that use multiple AI providers?
This project is worth exploring.

It provides a unified interface for working with different LLM APIs and models.

GitHub: https://t.co/KMskxP7dKC

10. Prompt Engineering Guide

dair-ai/Prompt-Engineering-Guide

A huge collection of resources for understanding how to work effectively with LLMs.

Explore:

• Prompting techniques
• RAG
• Agents
• LLM research
• Model capabilities
• Prompt optimization

GitHub: https://t.co/0cSaxVRj1B…

Don't try to learn all 10 at once.

Pick based on your goal:

🐍 LLM fundamentals → Hands-On LLMs
🧠 LLM roadmap → LLM Course
🏗️ Production ML → Made With ML
🤖 AI Agents → GenAI Agents
⚡ LLM inference → vLLM
💻 Local AI → llama.cpp
📚 RAG → LlamaIndex / Haystack
🔌 Multiple LLM APIs → LiteLLM
✍️ Prompting → Prompt Engineering Guide

The goal isn't to bookmark more repositories.
The goal is to build with them.

Pick one.
Build a project.

Then move to the next. 🚀

[0xMarioNawfal - The Roundtable Show @RoundtableSpace]

Someone used Opus 5.5 to turn a warehouse dashboard into something that looks like a strategy game

Credits: @DilumSanjaya

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@iamkamyapunjabi 💯💯

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@TheCoderShow This time please accept my registration

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@RantwithoutR Lund gullu

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@chiragrana01 @Gullu_Officiial @ElvishYadav @KUSHALTANWAR_FC @ElvishYadav bhai dekhlo isko ek bar

[sid @immasiddx]

iCloud+ is slowly turning into Apple One. 😭

Apple TV and Apple Arcade are now included for FREE, and you also get a discount on Apple Music.

iCloud+ is becoming a seriously good value subscription. 🔥

[India Plus @india_plus_]

🚨Airtel users will get Apple TV, Apple Arcade and iCloud+ for free.

[Shuddhay kurankar @shuddhay]

@TheCoderShow @claudeai @AnthropicAI @ClaudeDevs Why not Pune

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