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PulseReporter > Blog > Tech > Meta leads open-source AI increase, Llama downloads surge 10x year-over-year
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Meta leads open-source AI increase, Llama downloads surge 10x year-over-year

Last updated: August 29, 2024 11:25 pm
9 months ago
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Meta leads open-source AI increase, Llama downloads surge 10x year-over-year
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Open-source AI is lastly closing in on the dominance of closed-source. As we speak, Meta, one of many main gamers within the open mannequin class, shared a mid-year replace claiming that the adoption of its Llama household of fashions has surged to new heights, particularly because the launch of the giant Llama 3.1 final month.

The Mark Zuckerberg-led firm revealed that the downloads for Llama fashions are approaching 350 million on Hugging Face, marking an over ten-fold enhance from a yr in the past. It additionally famous that the adoption of the fashions has grown considerably – each through Hugging Face and distribution companions – with giant enterprises like Zoom, Spotify, Infosys, AT&T and Goldman Sachs utilizing them throughout inner and exterior use circumstances.

Meta’s Llama? has develop into the dominant platform within the AI ecosystem.

An exploding variety of corporations giant and small, startups, governments, and non-profits, are utilizing to construct new services.

Universities, researchers, and engineers are enhancing Llama and…

— Yann LeCun (@ylecun) August 29, 2024

The replace exhibits that open-source AI, which was initially off to a sluggish begin, is just not solely matching closed-source by way of efficiency but in addition getting vital traction on the enterprise stage, powering actual functions. It additionally questions the lead of OpenAI, which has been known as out for failing to ship frontier AI merchandise past bulletins.

Whereas OpenAI had a headstart within the generative AI recreation, Meta was fast to leap on the bandwagon with its Llama mannequin. The corporate launched the mannequin three months after the one behind ChatGPT. Nonetheless, as an alternative of going closed-source, it centered on an open strategy, making its ecosystem – overlaying Llama 2, Llama 3, and most lately Llama 3.1 – accessible through each Hugging Face and cloud companions.

“By making our Llama fashions overtly accessible we’ve seen a vibrant and various AI ecosystem come to life the place builders have extra alternative and functionality than ever earlier than. The innovation has been broad and fast, from start-ups pushing new boundaries to enterprises of all sizes utilizing Llama…,” the corporate wrote in a weblog put up right this moment. 

French startup Mistral has additionally adopted the similar technique for a lot of of its fashions. This has given builders a number of, highly effective open fashions to construct upon and create derivatives attaining parity and even outperforming closed fashions on choose metrics (see FinGPT, BioBert, Defog SQLCoder and Phind). 

For Meta, the open technique began gaining traction solely after the launch of Llama 2 in July final yr. For the reason that launch, the downloads for the corporate’s fashions have surged greater than 10x on Hugging Face, touching almost 350 million. Final month, the corporate noticed greater than 20 million downloads on the platform — which exhibits an additional enhance in traction coming from the latest launch of Llama 3.1 405B.

“We’re seeing rising choice within the developer neighborhood for Llama and robust indicators for continued progress. Based on a survey from Synthetic Evaluation, an impartial web site for AI benchmarking, Llama was the quantity two most thought-about mannequin and the {industry} chief in open supply,” the corporate added. 

Among the many enterprises tapping the Llama household of fashions for inner and exterior use circumstances are AT&T, DoorDash, Goldman Sachs, Niantic, Nomura, Shopify, Spotify, Zoom, Infosys and KPMG.

Many enterprise builders are additionally tapping Llama fashions through Meta’s expansive community of cloud and infrastructure suppliers, AWS, Microsoft Azure, Google Cloud, Groq, Nvidia, Databricks and Snowflake. The corporate didn’t share partner-specific numbers nevertheless it did affirm that Llama’s month-to-month utilization (by the amount of enter/output tokens) grew ten-fold from January to July 2024 for choose cloud service suppliers. 

Llama month-to-month utilization

The stats appear to point out that hosted Llama utilization has been rising persistently (peaking in July when Llama 3.1 was launched) however it is very important word that these figures are just for among the firm’s largest cloud service suppliers, not all companions. 

This implies the precise month-to-month utilization stats might range. 

Stress on OpenAI, Anthropic

Both method, Llama’s adoption by main enterprises like AT&T and Spotify exhibits that open-source AI is catching up rapidly. The latest enhancements in efficiency and long-term value advantages of the open strategy are among the many largest elements driving this shift. With additional developments within the coming months, we will count on open-source AI to utterly tackle the domination of closed fashions. This may put strain on corporations providing closed fashions, pushing them to innovate extra and additional reduce down the price of utilizing their fashions.

Notably, the affect of the open-source motion can already be seen. OpenAI, which triggered the generative AI wave, has considerably reduce the costs of its current fashions, together with GPT-4o. 

After a latest value discount by OpenAI, GPT-4o tokens now value $4 per million tokens (utilizing a blended charge that assumes 80% enter and 20% output tokens). GPT-4 value $36 per million tokens at its preliminary launch in March 2023. This value discount over 17 months corresponds to…

— Andrew Ng (@AndrewYNg) August 29, 2024

Nonetheless, by way of product innovation, the Sam Altman-led analysis lab seems to be lagging now. All of the cutting-edge AI merchandise it has introduced up to now, together with Sora and SearchGPT, both stay unreleased or accessible solely to a choose group of customers.

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