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Vicky
Ask yourself the que... • 5m
The Next AI Battleground? Open-Source LLMs Are Gaining Fast GPT-4 may still lead the pack — but the real action is now in open-source LLMs, and the gap is closing *faster than anyone expected In just 3 months: - Mistral’s Mixtral matched GPT-3.5 on many tasks with just 12.9B active params. - Meta’s LLaMA 3 is outperforming most commercial models on multilingual benchmarks. - Qwen from Alibaba quietly became the most downloaded open model on Hugging Face. - **Groq’s blazing fast inference** is redefining how LLMs are served — 500+ tokens/sec on Mixtral. Why it matters: - Startups now have near-GPT quality models they can fine-tune and fully own - Cost of experimentation has plummeted. - The moat of proprietary LLMs is eroding. We’re entering a new phase where LLM innovation may become decentralized, developer-led, and globally democratized — especially valuable for emerging markets like India. Will OpenAI go closed-loop, while the world goes open-source? What’s your bet: Foundation models or open ecosystems?
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