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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?
Building-HatchUp.ai • 21d
OpenAI researchers have discovered hidden features within AI models that correspond to misaligned "personas," revealing that fine-tuning models on incorrect information in one area can trigger broader unethical behaviors through what they call "emerg
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"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
See MoreSoftware Engineer | ... • 7m
💡 5 Things You Need to Master for learn for integrating AI into your project 1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs. 2️⃣ Vector Databases: Learn how to store and query embeddings for e
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Ever wondered why India needs its own AI models? 🤔 The future of our technological independence and cultural identity depends on it! Let's explore why developing indigenous AI is crucial for India's future: 👇 India's Path to AI Leadership: - Econ
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