ICYMI, here's the latest developer updates & insights: Lightning Fast AI Hackathon – $10k Prize Pool 2 New Features! @Gradio Partnership More in thread
OPEN SOURCE
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Llama 3.1 Improves Context Length and Launches Multimodal Vision
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New Features Improved Context Length On Llama 3.1 8B & 70B, we improved context lengths. Up to 16K on 8B & 64k on 70B! Launching Multimodal We are releasing Llama 3.1 11B & 90B w/ Vision. These models can analyze images & respond to text prompts!
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Meta Llama 3.2 Lightning Fast AI Hackathon $10k Prize
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Want your shot at our $10k prize pool?💰
— SambaNova (@SambaNovaAI) 29 octobre 2024
Build with fast AI inferencing on @AIatMeta's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B.
Join our Lightning Fast #AI #Hackathon ⤵️Want your shot at our $10k prize pool? Build with fast AI inferencing on @AIatMeta
's Llama 3.2, where you can achieve speeds of 2470 tokens per sec on 1B and 1566 tokens per sec on 3B. Join our Lightning Fast #AI #Hackathon -
Top-k and Top-p Sampling Strategies for LLMs Explained
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There's been a lot of interest around sampling recently with entropix.
— Maxime Labonne @ ICLR (@maximelabonne) 29 octobre 2024
I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code.
📝 Article: https://t.co/cgoP59fED4 pic.twitter.com/DJ45ToDtPnThere's been a lot of interest around sampling recently with entropix. I just uploaded my first LLM blog post to HF, which talked about top-k and top-p sampling with easy-to-understand visualizations and code. Article: https://
huggingface.co/blog/mlabonne/
decoding-strategies
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Supertree: Python Decision Tree Visualization Tool
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GitHub – mljar/supertree: Visualize decision trees in Python https://
bit.ly/3XNl1kj
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Stable Diffusion 3.5 Medium requires only 9.9GB VRAM
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Whether a startup or creator, access to this technology shouldn’t be restricted by hardware limitations. We took a look at the hardware compatibility for running Stable Diffusion 3.5 Medium alongside other open-image base models. This model only requires 9.9 GB of VRAM (excluding
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Stable Diffusion 3.5 Medium: Free Open Model for Consumer Hardware
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Stable Diffusion 3.5 Medium is here – this open model is free for both commercial and non-commercial use. With 2.5 billion parameters, this model is designed to run “out of the box” on consumer hardware, even on a toaster! (1/3)
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Hugging Face Congratulates Company on Successful Funding Round
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Congrats on the well deserved round! If there's anything Hugging Face can do to help you, do let me know! Looking forward to the releases ahead!
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Digital Privacy in Agency Digital Transformation Projects
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Digital privacy can factor into every level of a digital transformation. During this process, an agency's role is to consistently advocate for data privacy best practices — while ensuring the project moves along at a healthy pace https://
bit.ly/3NGe3sH #opensource #drupal