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Vicky

Ask yourself the que... • 2m

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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Hey I am on Medial • 1y

Hi any body using foundational models (llms) in development if you doing so are you using closed like gpt or Gemini for opensource models if you are using closed source why only that because you can save money by using opensource with low parameter m

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Chamarti Sreekar

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this is why open source wins. closed models are only gonna get more restrictive over time.

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