Llama
9 mentions across 5 people
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“until if if Meta reintroduces an up-to-ate open source model or someone like reflection ships one there'll be a US equivalent but right now the low ironically the Chinese Communist Party is effectively subsidizing you know the American small independent software vendor by providing cheap open source models.”
AI Market Dynamics: Anthropic's Efficiency Gain and the 'Big Three' Power Law ↗
“you can run things like Lamar 7 billion on \n on on a Mac”
Over-parameterization, Open-source, and the Future of AI ↗“If you take the example of Llama which is the open source foundation model that Meta puts out... Every time I talk to people in industry, not just startups but large companies, they are migrating to using Llama or other open source foundation models to build their products.”
Yann LeCun on Deep Learning's Long Road to Mainstream: Open Source, AI Safety, a ↗“Lama for example the first model the first llm that meta put out... it was produced in Paris in our lab in Paris... a lot of really good stuff came out of that lab in Paris”
Beyond LLMs: The Necessity of World Models and Physical Intuition for AGI ↗“The AI industry today would not exist without things like LMA. Um a lot of uh AI products are actually based on open source open source platforms.”
Overcoming AI’s Foundational Limitations: A Call for Open Research and Physical ↗“they actually use Llama Or open or other open source engines because it's cheaper and it's more uh secure you know it's more controllable you can run it on premise you know there's all kinds of advantages”
Current LLMs Face Diminishing Returns, New AI Paradigm Needed for True Intellige ↗
“I think llama has tremendous potential”
Open Source AI Models Poised to Dominate Due to Cost, Risk, and Flexibility Adva ↗
“what do the big AI Labs not understand about companies themselves do you think I think that's such an important question I mean there is just the products being released are just super weird I think there's very little consideration of use cases I mean you look at the number of people inside these organizations who've worked at large companies I I often joke like you know when I go to when I go to the West Coast there's like you know it's all like cold plunges and how do you live forever and rea”
Navigating the AI Revolution: Challenges, Opportunities, and Misconceptions ↗
“I mentioned the the quantization work but all of the great serving methods I think really were boosted from that because it just got super easy to deploy good models”
Optimizing LLM Inference Costs and Performance ↗