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Could this be the future of how our news is being consumed?
https://reddit.com/link/126m5eo/video/hhfat6n3jvqa1/player ...
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A few years ago I was very much into maximum likelihood-based generative modeling and autoregressive models (see this, this or this). More recently, my focus shifted to characterising inductive biases of gradient-based optimization focussing mostly on supervised learning. I only very recently started combining the two ideas, revisiting autoregressi
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I am a 24 yr old Dentist and Machine Learning has been fascinating me since the last year. Since I am not too interested in pursuing my clinical journey, I look forward to pursuing a Masters in Digital Health specialising in developing ML models in the health sector i.e.,diagnosing diseases such as Oral and Oropharyngeal cancer, making personalised ...
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"Deep Learning is Easy, Learn something Harder" - I proclaimed in one of my early and provocative blog posts from 2016. While some observations were fair, that post is now evidence that I clearly underestimated the impact simple techniques will have, and probably gave counterproductive advice. I wasn&
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This a little embarrassing, but I'm starting off with Geometry, Linear Algebra, and going to re-do Calculus (which I got a "C" in back in college, and don't remember anything from, tbh because I was busy dicking around)
I'll be using resources like Coursera/Udemy/LinkedIn Learning, and possibly, MAYBE take courses at a university. The rationale ...
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GPT-4 and professional benchmarks: the wrong answer to the wrong question
*OpenAI may have tested on the training data. Besides, human benchmarks are meaningless for bots.*
**Problem 1: training data contamination**
To ...
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I get that the ROC curve is used to measure the performance of the model over a range of thresholds. But why would we care about a range instead of an actual point? For example, let's say Model A had a better ROC and AUC than Model B. But the best threshold at Model B was closer to the ideal. Would we still favour Model A? ...
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So basically, OpenAI is keeping its models a secret, Hugging Face added a new gated feature, and LLaMA is using a non-commercial license. It looks like companies are all moving towards closed-source and monopolizing ML.
I've always loved Hugging Face, but now they are doing the opposite of what they preach with this new gated feature thing, thi ...
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How to fine-tune Facebooks 30 billion parameter LLaMa on the Alpaca data set.
Blog post: https://abuqader.substack.com/p/releasing-alpaca-30b
Weights:
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Hello, I am an Instructor on Udemy and I wanted to publish a Python Fundamentals course for free in Youtube. You can access to the first lecture of the course from the following link, thank you!
https://www.youtube.com/watch?v=yCASixTyMMY ...
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πŸš€ Introducing ChatLLaMA: Your Personal AI Assistant Powered by LoRA! πŸ€–

Hey AI enthusiasts! 🌟 We're excited to announce that you can now create custom personal assistants that run directly on your GPUs!

ChatLLaMA utilizes LoRA, trained on Anthropic's HH dataset, to model seamless conversations between an AI assistant and users. ...
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Hi all, I just made a tutorial on how to build a basic RLHF system on top of Andrej Karpathy's nanoGPT. I'm grateful to have gotten a thumbs up on Twitter from the legend himself, always a bit nerve wracking making this sort of thing.
I'm sharing this here because I'd love to go deeper into teaching and building this out, if people are intereste ...
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Machine learning operations, or ML Ops, focuses on helping data scientists and others who work with machine learning models deploy them more efficiently. Many ML Ops tools allow overseeing the entire machine learning model life cycle. ClearML has several products under the company umbrella that allow users to develop, orchestrate and automate their
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In the series of Azure Machine Learning posts: After creating the Azure Machine Learning workspace, you will be able not only to start the Studio but access all the necessary settings and information. In this overview page, you can click…Read more β€Ί Continue reading: Advent of 2022, Day 3 – Understanding Azure Machine Learning Studio
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