Helping Artists Find... • 8m
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 scratch right here. But here's what I found: Volkai is actually fine-tuned on Gemma by Google, a sophisticated AI framework. While fine-tuning is totally valid and part of AI development, claiming to have built the entire system independently? That's a whole different narrative. There’s no shame in building on existing frameworks it’s how many great products are made! But transparency matters. When you're creating a national brand, honesty earns long-term respect. What are your thoughts on this! #Volkai #NotindianAI


Founder Snippetz Lab... • 5m
I recently used Gemma 3 and it's groundbreaking Gemma 3 is Google’s super light open-weight AI model that’s free to use for building apps, including commercial ones. It is multimodal , runs efficiently on laptops or even mobile devices, and allows
See MoreEntrepreneur | Build... • 1m
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
See MoreTurning dreams into ... • 8m
India should focus on fine-tuning existing AI models and building applications rather than investing heavily in foundational models or AI chips, says Groq CEO Jonathan Ross. Is this the right strategy for India to lead in AI innovation? Thoughts?
Hey I am on Medial • 4m
I have started a series to make it easy for people to, simply understand the latest AI trends here: https://open.substack.com/pub/jainnivedit/p/fine-tuning?utm_source=share&utm_medium=android&r=5l6i8y Think of it Finshots for AI, looking for feedbac
See MoreAI Deep Explorer | f... • 7m
"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
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