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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

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

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

Best Open Source LLM:Tencent Hunyuan-Large: The 389 Billion Parameter Model Outperforming Llama 3 and DeepSeek V2

Huge announcement from Meta. Welcome Llama 3.1🔥 This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models

AnyLLM is here to end overpriced LLM subscriptions! Need LLaMA from Meta? ✅ Want DeepSeek? Always ready! ⚡ Craving Mistral? You got it! 15+ powerful AI models in ONE place! Code smarter. Research faster. Simplify your tasks like a pro! 🚀🧠💻

Meta's Llama 3 model scales open language models, boasting improved performance and various sizes. With a focus on addressing fatigue, it utilizes diverse training methods and achieves impressive results, strengthening the open LLM ecosystem

Weekly AI Roundup : Cost Efficient Models, Advances in Robotics & Cutting edge AI tools OpenAI Unveils GPT-4o Mini: OpenAI's GPT-4o mini is a cost-efficient model aimed at expanding AI accessibility, offering a significant price reduction compared

Meta has released Llama 3.1, the first frontier-level open source AI model, with features such as expanded context length to 128K, support for eight languages, and the introduction of Llama 3.1 405B. The model offers flexibility and control, enabli

Want to learn AI the right way in 2025? Don’t just take courses. Don’t just build toy projects. Look at what’s actually being used in the real world. The most practical way to really learn AI today is to follow the models that are shaping the indus