Llama 3.1 | Meta is leading Open Source AI
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Publicado 2024-07-23
ai.meta.com/blog/meta-llama-3-1/
about.fb.com/news/2024/07/open-source-ai-is-the-pa…
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Todos los comentarios (21)
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11:20 deploying it on AWS (405B model) estimated costs around 15,000 USD per month, requires 256GB RAM, 1TB storage and additional bandwidth costs for faster responses But using it as a service (as it is already deployed as a tool in AWS) it cost wayy less than chatGPT that is llama takes 0.025 INR for 1000 tokens gpt4o takes 0.4 INR for 1000 tokens (~ 400 INR for 1M tokens, u have to pay for atleast 1M tokens)
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Great video, I enjoyed how knowledgeable you are and the relating facts you provided. Subscribed!
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I have used Llama 2 7B parameter and fine tuned it for sentiment analysis and it is working great. I wonder how good will Llama 3.1 work with its 405 B parameters.
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"Exciting to see Meta leading the way in open-source AI with Llama 3.1! The flexibility and control it offers are game-changers. Can't wait to explore its capabilities and build innovative products. Thanks, Hitesh, for sharing your insights and sparking a great conversation!"
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I watched your video and updated in standup they appreciated me for this -Thank you sir - waiting for more videos.😄
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excited for liama 3.1
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AI and robots will pave the way for unprecedented abundance on Earth, revolutionizing industries and enhancing quality of life.
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Thanks a lot for your contribution ❤
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Nice summary. Open and closed present best (and worst) of both worlds. I'm exciting to start using Llama 3 so I look forward to future tutorials.
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Thank you for informative video! 🤌🏻
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Great move by the Meta...Everyone can have the access to AI
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Could you make a tutorial on how to use it or even install this? I can’t finde this anywhere, it is so technical
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I think we can use both open source and closed source. Good to have both to know pro's and con's of them.
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I found the video nice and informative. While I don't have extensive knowledge on the topic, I generally prefer open-source software, like Linux, over closed-source alternatives.
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I'm not really sure what is the benefit companies like Meta get from making these models open source. Saving some engineering capacity is not Ig they are worrying about. Not sure what's the bigger motive.
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Great Video Hitesh Sir as alwayss Coming from CHAI AND Llama community LOL Thankyou sir
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Interested to see more such kind of video where you talk about latest advancements in AI world
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how to built an useful product with llama 3.1
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Thankyou so much Ritesh
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great video
