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Vicky

Ask yourself the que... • 1m

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?

0 replies9 likes

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RootDotAi

From the ROOT to the... • 1y

Databricks' new DBRX rivals best open source LLMs

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Anonymous

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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Chamarti Sreekar

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Bhavish Aggarwal’s AI startup, Krutrim AI, has begun hosting Chinese GenAI company DeepSeek’s open-source models on its cloud platform. Five models, ranging from 8 billion to 70 billion tokens, are now live on Indian servers at the world’s lowest p

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Mohit Singh

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Meta, formerly Facebook, has unveiled two new open-source AI models called Llama 3 8B and Llama 3 70B, with 8 billion and 70 billion parameters respectively. 🚀 These models outperform some rivals and spark debate over open versus closed source AI de

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Sarthak Gupta

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10+ State of the art llms 2+ Compound llms (latest in the market) Which models you want next? btw check the reply for the app

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Parshya Bora

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At Future4coding by Curiolab our newsletter, we're building the gold standard in AI-assisted Software intelligence. Our team has been dedicated to understanding and evaluating open-source LLMs in the coding world — benchmarking models, creating compa

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Aroneo

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In the ever-evolving AI landscape, a new player is making waves — Deepseek. While OpenAI, Google DeepMind, and Meta AI have been dominant forces, Deepseek is emerging as a formidable contender in the AI race.The recent buzz around Deepseek stems from

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Yogesh Jamdade

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Tools for machine learning: TensorFlow: Powering Machine Learning What it is:TensorFlow is an open-source platform for building machine learning models. Key benefits: Flexible: Build various models, from simple to complex. Scalable:Handles lar

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Sweekar Koirala

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Meta has introduced the Llama 3.1 series of large language models (LLMs), featuring a top-tier model with 405 billion parameters, as well as smaller variants with 70 billion and 8 billion parameters. Meta claims that Llama 3.1 matches the performance

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