Free Books to Start Data Science! @kdnuggets #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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cience
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OPEN SOURCE
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Free eBooks to Start Your Data Science Journey Today
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HuggingFace Trainer Push to Hub and AutoTrain SpaceRunner
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Lets say if you are using hf trainer, it has a push to hub param that can be used. if flair doesnt push to hub, you'll need to do it in the code. autotrain spacerunner is just running the code for you that you provide 🙂
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Building Semantic Search Apps with ChromaDB Vector Database
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Great article by @avikumart_ on building a Semantic Search app using the #opensource vector database ChromaDB (
@trychroma
)! https://
medium.com/ai-science/bui
ld-semantic-search-applications-using-open-source-vector-database-chromadb-a15e9e7f14ce
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Indie Devs Face Model Training Quality Barriers Without Big Data
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yea provlem is (and lmk if wrong) most indie devs cant train their own GPT models so they use openai/etc which cant get to the quality level needed with just "own or licensed content" as they need "everything online" amounts
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MONAI Generative Models: Open-Source Medical Imaging AI Platform
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MONAI Generative Models: An Open-Source Platform for Medical Imaging Advancements: Recent breakthroughs in generative artificial intelligence have sparked… #DataAnalytics #DataScience #DataDriven #SaaS #ITDirector #IoT #BigDataAnalytics #Blockchain https://
analyticsvidhya.com/blog/2023/08/m
onai-generative-models-an-open-source-platform-for-medical-imaging-advancements/?utm_source=dlvr.it&utm_medium=twitter
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Open Source AI: Legal Questions and Compliance Challenges
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Well, I *am* a lawyer, but not a very good one. I don't have good answers right now. Just lots of questions. I'm confident that if we grapple with the questions, we'll sort it out (just as we did when applying open source to software distributed as services over a network)
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Can AI Model Weights Be Licensed if Unmodifiable?
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Talking with a friend, he noted that you can't modify the weights directly. You can't go in and change a floating point number and mess with it. You have to recompile those from somewhere else. Does a license on the weights (assuming he's right) make sense if true?
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Rethinking Open Source Licensing for AI Model Weights
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Also, do you think the current licensing of, say, Llama 2 does that? Meaning, applies the license to the weights? It seems like the license is more broadly applied than that, and that we may need some tweaks to the OSD to reimagine open source for AI.
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Defining Open Source for Large Language Models Precisely
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Yes, this is what I'm thinking (I'm in the middle of a post on the topic and really wanted your feedback). I think we're a bit too casual in how we apply "open source" to LLMs, & need to get crisp in how we think about it. No one is as far on the path as you are, so I pinged you
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What Does Open Source Really Mean for LLM Weights?
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But more importantly (for me), I'm grappling with what "open source" means in LLMs/AI. The source code isn't like what we'd find in, say, Datasette. It seems ppl think the license applies to the weights in an LLM, but they're just floating point numbers.