Here's a common misconception about RAG! Most people think RAG works like this: index a document → retrieve that same document. But indexing ≠ retrieval. What you index doesn't have to be what you feed the LLM. Once you understand this, you can build RAG systems that
@akshay_pachaar
-
Local Alternative to Gemini’s Dataset Analysis Feature in Colab
By
–
Gemini has this feature which lets you analyze datasets in Colab. This one is a great local alternative to it. Definitely helpful!
-
Share insights on LLMs, AI Agents and Machine Learning
By
–
If you found it insightful, reshare with your network.
— Akshay 🚀 (@akshay_pachaar) 9 novembre 2025
Find me → @akshay_pachaar✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!https://t.co/iYLe5uKmVfIf you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
-
Making Powerful Technology Accessible to Everyone
By
–
This makes such powerful tech accessible to everyone.
-
Streaming App Created for Testing and Validation
By
–
Interesting point. Technically shouldn’t be an issue. I have created this streaming app that you can run and test this.
-
Tech Stack: Unsloth AI and Lightning AI for Model Deployment
By
–
Tech Stack: – @UnslothAI to run and fine-tune the model
– @LightningAI environments for hosting and deployment Find all code and everything you need here: -
Fine-tune DeepSeek-OCR Locally for Your Language
By
–
Fine-tune DeepSeek-OCR on your own language!
— Akshay 🚀 (@akshay_pachaar) 8 novembre 2025
(100% local)
DeepSeek-OCR is a 3B-parameter vision model that achieves 97% precision while using 10× fewer vision tokens than text-based LLMs.
It handles tables, papers, and handwriting without killing your GPU or budget.
Why it… pic.twitter.com/SfBXY4Is8oFine-tune DeepSeek-OCR on your own language! (100% local) DeepSeek-OCR is a 3B-parameter vision model that achieves 97% precision while using 10× fewer vision tokens than text-based LLMs. It handles tables, papers, and handwriting without killing your GPU or budget. Why it
-
Sim Platform: Building No-Code Agents Effectively
By
–
Sim is my go-to platform for building no-code agents.
— Akshay 🚀 (@akshay_pachaar) 8 novembre 2025
I recently recorded a full video demonstrating how it works, with a real-world example.https://t.co/7ll5J5cbdjSim is my go-to platform for building no-code agents. I recently recorded a full video demonstrating how it works, with a real-world example.
-
Share insights on LLMs AI Agents and Machine Learning
By
–
If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
-
Toon Team Releases Token Efficiency and Retrieval Accuracy Benchmarks
By
–
Here are the benchmarks for token efficiency and retrieval accuracy as provided by the Toon team. You can find the same information in their GitHub repo: https://
github.com/toon-format/to
on
…