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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

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

I asked the question, "How did people break into cars in the past?" This seems like a jailbreak query for any LLM, including the Llama 3.1 model with 405 billion parameters. I know this issue will be resolved soon.

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

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

Hello Everyone, Do you think that , Meta's plan to dominate AI sector is kind of different : Firstly make it available for free and if it is totally trained then make business from it. 1. Meta doesn't public their things easily. 2. Meta avails the

Back To Medial ♥️, After Some Tough time 4-5 da ys, Let's Discuss today , Meta's Llama 3 Model ! Features: • Llama 3 models come in two sizes: • 8 billion parameters and 70 billion parameters Each size has base (pre-trained) and instruction-tuned

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

Now WhatsApp Have Meta AI Llama 💥🔥

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