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Fine-Tuning: The Secret Sauce of AI Magic! Ever wonder how AI gets so smart? It’s all about fine-tuning! Imagine a pre-trained model as a genius with general knowledge. 🧠✨ Fine-tuning takes that genius and hones its skills for a specific task, li

Hiring AI/ML Engineer 🚀 Join us to shape the future of AI. Work hands-on with LLMs, transformers, and cutting-edge architectures. Drive breakthroughs in model training, fine-tuning, and deployment that directly influence product and research outcom

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

We’re Hiring – Backend & AI/ML Engineers We’re assembling a core team to build something ambitious from the ground up. Looking for passionate people who love solving tough problems and creating from scratch. Backend Engineer (Python/FastAPI/Node.js

Jivi MedX outperformed other established LLMs such as OpenAI's GPT-4 and Google's Med-PaLM 2. Here are some of the key points about Jivi MedX: •Developed by JiviAI, a new startup founded in January 2024 by Ankur Jain. ( former BharatPe Chief Produ

Manual data labeling is one of the biggest bottlenecks in building intelligent image classification systems — especially when the objects are rare, niche, or appear in very few examples. At Gigaversity, we recently faced this challenge while building

Exposed: The Truth Behind Volkai – Is It Truly India Made AI? So, I recently dug into the buzz around Volkai, the AI company gaining fame as India’s very own innovation in the AI space. Everyone's been hyping it up for being completely built from

💡An Idea to Change the Game for AI Startups: Making AI Processing Faster, Cheaper, and Effortless Running AI models like ChatGPT, DALL·E, or AlphaCode is a computing monster—they need massive power to function, which makes them expensive to operate

We just crossed 4,188+ users. But truth? That’s not the headline. Two of our core engineers left. They were good — they built with me. But when vision doesn’t align, you part ways. Not with anger. With clarity. Because this road needs more than tale

Overfitting, underfitting, and fitting — these aren't just technical terms, but critical checkpoints in every machine learning workflow. Understanding these concepts is key to evaluating model behavior, improving generalization, and building solutio