“Let’s have a love poem, lyrical, pastoral, and expressed in the language of pure mathematics. Tensor algebra mainly, with a little topology and higher calculus, if need be. But with feeling, you understand & in the cybernetic spirit” Stanislaw Lem still wins, of course, but huh
COMPUTING
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Alteryx Analytics Cloud Google Integration Transforms Data Analytics
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Unlock the power of data and analytics with Alteryx Analytics Cloud, seamlessly integrated with Google Cloud, for a transformative digital journey. Read about how Alteryx Analytics Cloud and Google Cloud work together on INPUT: https://
ow.ly/JSJ750Rf3EO #Analytics -
Objective-C Skills Remain Valuable in Tech Job Market
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Dang those Objective-C skills still pay off.
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Rugged IoT Technology: Design and Deployment Challenges
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To add more, implementing rugged IoT technology poses significant challenges in design and deployment. Careful consideration of environmental risks and durability is required to ensure that devices can withstand extreme conditions and provide consistent performance.
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Mixtral Training Challenges: Memory Issues and Model Recovery
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Training Bixtral, which is expensive + slow so mistakes are costly. The run finally finished, but then we got a sigkill -9 error (I believe it's a memory issue). I thought I lost the model, but I went into the output directory anyway, and luckily, it was there.
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Apple Silicon GPU Programming Requires Different Libraries and Approach
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Apple silicon is a whole different thing but yes it also has a GPU, and the code can also be targeted to it in a similar way, but all of the libraries and details change (Metal instead of CUDA) so it’s a whole separate effort.
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Debugging Systems: Adding Permanent Metrics and Logging
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When debugging an opaque problem in a system, a nice strategy is to just focus on adding permanent (rather than temporary) metrics or logging to make the problem obvious. Often makes it easy to solve not just the specific issue but also a whole class of potential related issues.
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From Physics Interpretation to AI-Driven Transformation
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human physicists have only interpreted physics in various ways; the point is to change it
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Cerebras CS-3 versus Nvidia DGX B200: AI hardware comparison
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In the fast-paced world of AI hardware, the Cerebras CS-3 and Nvidia DGX B200 are two of the most exciting new offerings to hit the market in 2024. Both systems are designed to tackle large-scale AI training, but they take decidedly different approaches. For ML researchers and
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LLM compiler directly from Twitter to CUDA
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what we need is a llm that compiles straight from twitter to cuda