One possible exercise: You have a one-hidden-layer MLP, which is so big that the weights can only fit across 4 machines. Describe how you’d do the forward-backward passes. What would you do if each machine had a small probability of breaking down?
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Prompt Engineering as Systems Engineering: LLM Workflow Abstraction
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“Prompt engineering looks more like a systems engineering problem, not a machine learning one.” i like the concept of an “LLM friendly workflow engine”. concats all my recent professional interests into one sorely needed abstraction
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Kubernetes Operators Transform Legacy System Operations Efficiently
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What happened when we changed our legacy system to one based on Kubernetes operators? We greatly reduced our operational load, allowing our software engineers to spend their time on more productive tasks See how https://
dbricks.co/3V8x0FR -
Data2vec 2.0: 16x Faster Self-Supervised Learning Across Modalities
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Data2vec 2.0 can train self-supervised speech, vision & text models up to 16x faster than the most popular existing algorithm for images — achieving the same accuracy. Read more & get the open source code https://
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Math for Machine Learning and Data Science Course Launches on Coursera
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1/Math for Machine Learning and Data Science is now available on Coursera! Taught by @luis_likes_math
, this gives an intuitive understanding of the most important math concepts for AI. -
GPT as Backend: LLM as English Interpreter for Development
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"GPT is all you need for backend". This was the most inspirational project from the hackathon over the weekend, hard to stop thinking about. LLM is a kind of equivalent of the Python interpreter, except it interprets English, and has knowledge and common sense.
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Open-source LangChain bot deployment examples for messaging platforms
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Anyone have any good open-source examples of deploying a LangChain bot on discord, telegram, WhatsApp, Slack, etc? Want to add some examples to the gallery & deployment pages for this!
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DataRobot Notebooks: Enhanced Integration and Centralized Management
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DataRobot Notebooks offer: Interoperability Native integration Centralized management and more enhanced features #Datanami shares the game-changing updates to fully integrated notebooks.
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H3 Capabilities Enhanced with New Expression Support
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With support for new expressions, our built-in H3 capabilities are becoming best-in-class Learn how can make your queries more efficient and expressions more flexible
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Start Contributing to Open Source Tools You Use Daily
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No need to be above mentioned projects. Think of the tools and libraries you are working on daily within your projects and start contributing to that. For example Pandas, Numpy, Matplotlib, Tensorflow, Jax, etc. It can be of any project just start contributing to Open Source.