If a prompt/response in the convo contains images does it use the old model for all subsequent prompts (since context is implicitly multimodal) or is each prompt considered in isolation? Is there any way to check if you’re actually using Ultra?
COMPUTING
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Essential Business Cybersecurity Practices and Protocols
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Safeguard your business online with a VPN, strong passwords, and antivirus software. Use firewalls and encryption, limit data access, and regularly back up information. Secure networks and mobile devices, and educate employees on these safety protocols. Microblog @antgrasso
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KAUST and Cerebras Named Finalists for 2023 Gordon Bell Prize
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We are honored to have met KAUST's President, Dr. Tony F Chan, and to work on revolutionary research together. At #SC23, King Abdullah University of Science and Technology (KAUST) and Cerebras Systems were finalists for the 2023 Gordon Bell Prize, the most prestigious award for
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Most Interesting AI Use Cases at Operating System Level
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yeah but i think most of the interesting use-cases are OS-level
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OS-Level AI Support Integration Goals
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its a start, but os-level support with multiple things is the goal imo
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OS-Level Support: The Key to AI Innovation
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yeah, but I think the exciting stuff happens with os-level support
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Cerebras Sparsity Optimization for Foundation Model Training
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(10/n) Contact us to learn more about Cerebras and how sparsity can make training your next foundation model orders of magnitude more efficient. Shoutout to the amazing software, machine learning, and performance team members who’ve played an instrumental role in developing
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Cerebras CS-2 Accelerates Foundation Model Training Through Sparsity
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(5/n) Our library is hardware agnostic, but combined with the Cerebras CS-2's unique ability to accelerate unstructured #sparsity, it unleashes unparalleled efficiency in training foundation models.
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Sparsity Unlocks New ML Training Efficiency Dimension
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(3/n) Sparsity helps unlock a new dimension of efficiency beyond model architectures for training, enabling control of #computing performance in the ML practitioner's hand. Sparse models also achieve better scaling but are difficult to accelerate. Today's #deeplearning libraries
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Foundation Models Scaling Costs Rise as Training Becomes Prohibitively Expensive
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(2/n) Today’s #foundationmodels are scaling rapidly in model sizes and the data used to train them. Paired with even the best-in-class AI computing clusters, the costs of training such models are becoming prohibitive.