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Meta's grand finale of the year, the open source AI model Llama 3.3, is on the scene: 70 billion parameters, performance comparable to 405 billion.
Meta's grand finale AI model of the year is here. Meta released Llama 3.3 yesterday (December 6), with 70 billion parameters, but with performance comparable to Llama 3.1, which had 405 billion parameters. Meta emphasizes that Llama 3.3 models are more efficient and less costly, and can be run on standard workstations, lowering operational costs while delivering high-quality Text AI solutions. Llama 3.3 models are optimized for multi-language support, with support for English, German, French, Italian,...- 927
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Zuckerberg bets on AI: Meta is pushing the US government to use its Llama model
Meta CEO Mark Zuckerberg said on the Q3 earnings call that Meta is "working with the public sector to drive adoption of the Llama AI model across U.S. government agencies." This news raises a lot of questions: which government agencies will use Meta's AI models? What will these models be used for? Will there be any military use, and will Meta be paid at all? When reporters sought further explanation from Meta, spokesman Jon Carvill declined to provide any information beyond Zuckerberg's comments about the investment...- 2.8k
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Meta AI's new quantized version, Llama 3.2: 2x faster, 56% less volume, runs on your phone
Recently, Meta AI introduced the new quantitative Llama3.2 model, consisting of versions 1B and 3B, which is a model that can be fine-tuned, distilled, and deployed on a wide range of devices. In the past, while models like Llama3 have achieved significant success in natural language understanding and generation, their large size and high computational requirements have made them difficult for many organizations to use. Long training times, high energy consumption, and reliance on expensive hardware have certainly increased the gap between tech giants and smaller organizations. One of the features of Llama 3.2 is the support for multilingual text and image processing...- 3.5k
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Zuckerberg: Lenovo Builds Personal AI Intelligence Based on Meta Llama Big Model AI Now
On October 15, Lenovo held its annual Tech World conference in Seattle, USA. In his keynote speech, Lenovo CEO Yang Yuanqing, along with Meta Founder and CEO Mark Zuckerberg, announced that Lenovo and Meta have partnered to launch AI Now, a personal AI intelligence for PCs based on the Llama model. Zuckerberg said in his keynote speech via video that Lenovo and Meta have been working together for many years and have introduced many outstanding innovations. have been working together for many years and have introduced many remarkable innovations that bring breakthrough A...- 3.6k
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Llama 3.2, the strongest open-source AI model on the end-side, has been released: it can run on cell phones, from 1B plain text to 90B multimodal, and challenges OpenAI 4o mini.
In a September 25th blog post, Meta officially launched Llama 3.2 AI models, featuring open and customizable features that developers can tailor to their needs to implement edge AI and visual revolution. Offering multimodal vision and lightweight models, Llama 3.2 represents Meta's latest advancements in Large Language Models (LLMs), providing increased power and broader applicability across a variety of use cases. This includes small and medium-sized vision LLMs (11B and 90B) suitable for edge and mobile devices to...- 3.4k
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Meta releases Llama AI model family download data: more than 350 million worldwide, 3.1-405B models are the most popular
Meta released a press release yesterday to disclose the downloads of its Llama open source AI model family on Hugging Face. In the last month alone (August 1-August 31), the number of downloads of the relevant models exceeded 20 million times. As of September 1, the global downloads of the Llama model family have exceeded 350 million times. According to IT Home, Meta released LLM Llama 3 in April this year and launched Llama 3.…- 5.7k
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Small but powerful! A 10-person team refines the first fine-tuned Llama 3.1 405B
A small team of only 10 people dared to challenge the status of the technology giant Meta. This is simply the real-life version of "David defeating Goliath"! This startup called Nous Research is no unknown company. The Hermes3 they just launched is based on the 405B model of Llama3.1. Although the team is small, their strength should not be underestimated. This "10-person team" has successfully fine-tuned multiple models such as Mistral, Yi, and Llama, and the number of downloads...- 5.1k
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Zuckerberg: Llama 3.1 is expected to become the Linux of open source AI
Meta CEO Mark Zuckerberg recently announced the official release of Llama 3.1, saying it could be an important milestone in the field of open source AI. Meta launched three Llama 3.1 models of different sizes, the most notable of which is a large model with 405 billion parameters. Zuckerberg called it "the most advanced open source model currently available" and even comparable to the leading closed source models in some areas. In addition to the 405 billion parameter model, Meta also launched a more streamlined 70…- 4.9k
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Shocking the AI world! Llama 3.1 leaked: an open source behemoth with 405 billion parameters is coming!
Llama3.1 has been leaked! You heard it right, this open source model with 405 billion parameters has caused a stir on Reddit. This may be the open source model closest to GPT-4o so far, and even surpasses it in some aspects. Llama3.1 is a large language model developed by Meta (formerly Facebook). Although it has not been officially released, the leaked version has caused a sensation in the community. This model not only includes the base model, but also benchmark results of 8B, 70B, and 405B with the largest parameters. Performance comparison: Ll…- 4.4k
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LLama3-V model officially released: performance comparable to GPT4-V and Gemini Ultra
Today, the LLama3-V model was officially released, a new SOTA open source VLM model. The LLama3-V is claimed to be not only superior to the LLaVA, but also not inferior in performance performance compared to the GPT4-V, Gemini Ultra, and Claude Opus, while the model is only 1/100th of their size.The model, dubbed the SOTA Open Source VLM of the Llama38B, is garnering a lot of attention. The creators of the LLama3-V tweeted about the model and shared links to the model. The netizens...- 3.3k
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Big models are so popular, teach you how to play with open source Llama3 big models with one click
Llama 3 was released today, providing 8B and 70B parameter pre-trained and instruction fine-tuned language models, and these models will soon be available on mainstream platforms such as AWS, Google Cloud, Microsoft Azure, and are strongly supported by hardware platforms such as AMD and Intel. Llama3 link: https://llama.meta.com/llama3 The Llama Chinese community will take you to learn more about and use Llama3 from the following aspects: 1. Introduction to Llama3, table…- 9k
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Meta Chief Scientist Yann LeCun believes that AI superintelligence will not arrive soon and is skeptical about quantum computing
At Meta’s event celebrating the 10th anniversary of its Foundational AI Research Team, Yann LeCun, the company’s chief scientist and deep learning pioneer, expressed his views on the current state of artificial intelligence systems. LeCun believes that existing AI systems are still decades away from reaching a level of self-awareness that pushes their capabilities beyond just summarizing large amounts of text in creative ways. LeCun’s views contrast with those of Nvidia CEO Jensen Huang, who recently said that AI will be in less than…- 2.5k
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AI model transparency assessment: Llama 2 ranks first, GPT-4 has poor transparency
In recent years, the transparency of mainstream models in the field of artificial intelligence has become a focus, and Stanford University, MIT, Princeton University and other institutions have collaborated to put forward the "Basic Model Transparency Index" to assess the transparency of the top ten mainstream AI models. The results show that Llama2 ranks first, while models such as GPT-4 are less transparent. Despite the growing social impact of AI models, there are still many questions about how these models are constructed, trained, and used, including the source of the data and the treatment of the labor force. However, the evaluation system has also sparked some controversy, with some developers arguing that requiring companies to disclose trade secrets is too young...- 4.2k
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