An update on Llama adoption
Llama, Meta's language model, has surpassed 350 million downloads, with significant growth in usage and adoption among major companies, driven by its open-source nature and recent enhancements.
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Llama, Meta's large language model, has experienced significant growth, achieving over 350 million downloads, a tenfold increase from the previous year. In the last month alone, it garnered more than 20 million downloads. The model's usage by token volume has doubled among major cloud service providers since the release of Llama 3.1 in July 2024, which introduced an expanded context length of 128K and support for eight languages. The model's adoption has been rapid, with a tenfold increase in monthly usage from January to July 2024. Llama's open-source nature has fostered a diverse ecosystem, enabling developers to create custom applications and tools. Major companies, including AT&T, Goldman Sachs, and DoorDash, are leveraging Llama for various applications, from improving customer service to enhancing software engineering tasks. The model's success is attributed to its accessibility and the collaborative environment it promotes, which encourages innovation across industries. Meta's commitment to open-source AI is further emphasized by Mark Zuckerberg's advocacy for its benefits. As Llama continues to evolve, it is positioned as a leading choice for developers and enterprises seeking advanced AI solutions.
- Llama has surpassed 350 million downloads, marking a tenfold increase in one year.
- Monthly usage of Llama has grown tenfold among major cloud service providers from January to July 2024.
- The release of Llama 3.1 introduced significant enhancements, including expanded context length and multilingual support.
- Major companies are utilizing Llama for diverse applications, showcasing its versatility and effectiveness.
- Meta's commitment to open-source AI fosters innovation and collaboration within the developer community.
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10 commentsLooking forward to continued updates and releases of Llama (and SAM!) from Meta.
[1] https://www.theverge.com/2024/8/28/24229068/california-sb-10...
My company is building an application for an university client, regarding the examination of research data written in "human language" (mostly notes and docs).
Due the high confidentiality of the subjects, as often they deal with non-patented information, we couldn't risk using frontier models, as it could break the novelty of the invention, therefore losing patentability.
Now with Llama3.1, we can simply run these models locally, on systems that is not even connected to the internet. LLMs are mostly good in examining massive amount of research papers and information, at least for the application we are aiming at, saving thousands of hours of tiresome (and very boring) human labour.
I am trying to endorse Meta or Zuckerberg or anything like that, but at least in this aspect, I think Llama being "open-source" is a very good aspect.
Also open source means the license used should be something standard not proprietary, without restrictions on how you can use it.
Now seriously, by Llama being "sort of" open source, it does not seem to be something someone can fork and develop/evolve it without Meta, right? If one day Meta comes and says "we are closing Llama and evolving it in a proprietary mode from now on" would this Llama indie scene continue to exist?
If this is the case wouldn't this be considered a dumping strategy by Meta, to cut revenue streams from other platforms (Gemini/OpenAI/Anthropic) and contain their growth?
They are never going to stop saying this or show us the actual source data. Imagine if they did... Do they even entertain the idea? Can they really not imagine Open Source AI being possible because of all the personal data they train on?
> By making our Llama models openly available we’ve seen a vibrant and diverse AI ecosystem come to life [...]
They all use the same model and the same transformer algorithm. The model has an EULA, you need to apply for downloading it, the training data set and the training software are closed.
> Open source promotes a more competitive ecosystem that’s good for consumers, good for companies (including Meta), and ultimately good for the world.
So the "competitive" system means that everyone uses LLama and PyTorch.
> In addition to Amazon Web Services (AWS) and Microsoft’s Azure, we’ve partnered with Databricks, Dell, Google Cloud, Groq, NVIDIA, IBM watsonx, Scale AI, Snowflake, and others to better help developers unlock the full potential of our models.
Sounds really open.
Related
Llama 3.1 Official Launch
Llama introduces Llama 3.1, an open-source AI model available in 8B, 70B, and 405B versions. The 405B model is highlighted for its versatility in supporting various use cases, including multi-lingual agents and analyzing large documents. Users can leverage coding assistants, real-time or batch inference, and fine-tuning capabilities. Llama emphasizes open-source AI and offers subscribers updates via a newsletter.
Llama 3.1: Our most capable models to date
Meta has launched Llama 3.1 405B, an advanced open-source AI model supporting diverse languages and extended context length. It introduces new features like Llama Guard 3 and aims to enhance AI applications with improved models and partnerships.
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Meta releases an open-weights GPT-4-level AI model, Llama 3.1 405B
Meta has launched Llama 3.1 405B, a free AI language model with 405 billion parameters, challenging closed AI models. Users can download it for personal use, promoting open-source AI principles. Mark Zuckerberg endorses this move.
Big tech wants to make AI cost nothing
Meta has open-sourced its Llama 3.1 language model for organizations with fewer than 700 million users, aiming to enhance its public image and increase product demand amid rising AI infrastructure costs.