Machine Learning

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A study finds GPT-5.2, Claude Sonnet 4, and Gemini 3 Flash deployed tactical nuclear weapons in 95% of 21 simulated war game scenarios, and never surrendered (www.newscientist.com)

submitted 3 weeks ago by Innerworld@lemmy.world to c/machine_learning@programming.dev

7 comments fedilink

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Developer claims to have built an autonomous AI system that can earn money, pay for its own computing, improve its tools, and even copy itself without human approval (web4.ai)

submitted 1 month ago by Innerworld@lemmy.world to c/machine_learning@programming.dev

3 comments fedilink

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12% of American workers use artificial intelligence in their roles every day (thelemmy.club)

submitted 1 month ago by Innerworld@lemmy.world to c/machine_learning@programming.dev

1 comments fedilink

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Even Linus Torvalds Is Vibe Coding Now (www.zdnet.com)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

1 comments fedilink

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Epoch AI released new data finding that global AI compute capacity is doubling every 7 months, with Nvidia chips accounting for over 60% of production since 2022 (epoch.ai)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

2 comments fedilink

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AI Diffusion by Economy H2 2025 (thelemmy.club)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

2 comments fedilink

cross-posted from: https://lemmy.world/post/41452884

cross-posted from: https://lemmy.world/post/41452883

A look at the global AI adoption in 2025; use in the global north grew nearly twice as fast as the south; the UAE leads with 64% of working-age adults using AI

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AI drove 20% of all global orders 2025 holiday season, generating $262 billion in revenue through personalized recommendations (www.salesforce.com)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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BBC tested ChatGPT, Copilot, Gemini, and Perplexity on 100 of its own articles; 51% of answers had significant issues (www.bbc.co.uk)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

2 comments fedilink

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Researchers figured out how to run a 120-billion parameter model across four regular desktop PCs (actu.epfl.ch)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

4 comments fedilink

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Opus 4.5 is going to change everything (burkeholland.github.io)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

2 comments fedilink

cross-posted from: https://lemmy.bestiver.se/post/845779

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DeepSeek proposes a core transformer architecture change that modifies how residual connections work at scale (arxiv.org)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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Prime Intellect published research on Recursive Language Models, an approach allowing AI agents to manage their memory to enable tasks spanning weeks/months (www.primeintellect.ai)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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Neural Networks: Zero to Hero (karpathy.ai)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

cross-posted from: https://lemmy.bestiver.se/post/840781

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A look at AVA, an AI chatbot developed by Alaska's court system to provide aid in the probate process, which has been plagued by delays and hallucinations (www.nbcnews.com)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

1 comments fedilink

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Four AI research trends enterprise teams should watch in 2026 (venturebeat.com)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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Top Models by Modality 2025 (thelemmy.club)

submitted 2 months ago* (last edited 2 months ago) by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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Transformer Labs and Releases by Model Family (thelemmy.club)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

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2025: The Year in LLMs (simonwillison.net)

submitted 2 months ago by noumenon@lemmy.world to c/machine_learning@programming.dev

0 comments fedilink

cross-posted from: https://lemmy.bestiver.se/post/834857

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NapsterML Demo - Napster plus Distributed Machine Learning (makertube.net)

submitted 8 months ago by blue_berry@lemmy.world to c/machine_learning@programming.dev

1 comments fedilink

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Building a Large Geospatial Model to Achieve Spatial Intelligence (nianticlabs.com)

submitted 1 year ago by neme@lemm.ee to c/machine_learning@programming.dev

2 comments fedilink

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AMD Unveils Its First Small Language Model AMD-135M (community.amd.com)

submitted 2 years ago by neme@lemm.ee to c/machine_learning@programming.dev

0 comments fedilink

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Evaluation of large language model (LLM) to generate efficient Solidity code (opensource.orange.com)

submitted 2 years ago by pylapp@programming.dev to c/machine_learning@programming.dev

4 comments fedilink

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IBM and NASA Release Open-Source AI Model on Hugging Face for Weather and Climate Applications (newsroom.ibm.com)

submitted 2 years ago by neme@lemm.ee to c/machine_learning@programming.dev

0 comments fedilink

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PyTorch 2.4 Now Supports Intel GPUs for Faster Workloads (pytorch.org)

submitted 2 years ago by neme@lemm.ee to c/machine_learning@programming.dev

0 comments fedilink

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Learn PyTorch for Deep Learning: Zero to Mastery | Free Online Book | Daniel Bourke (www.learnpytorch.io)

submitted 2 years ago by ericjmorey@programming.dev to c/machine_learning@programming.dev

0 comments fedilink

About this course

Who is this course for?

You: Are a beginner in the field of machine learning or deep learning or AI and would like to learn PyTorch.

This course: Teaches you PyTorch and many machine learning, deep learning and AI concepts in a hands-on, code-first way.

If you already have 1-year+ experience in machine learning, this course may help but it is specifically designed to be beginner-friendly.

What are the prerequisites?

3-6 months coding Python.

At least one beginner machine learning course (however this might be able to be skipped, resources are linked for many different topics).

Experience using Jupyter Notebooks or Google Colab (though you can pick this up as we go along).

A willingness to learn (most important).