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Mit wenigen Klicks zum eigenen KI-Chatbot: Warum ihr dieses Tool kennen solltet
[https://t3n.de/news/lokaler-ki-chatbot-lm-studio-1642969/] - - public:mzimmerm
Train and use my model
Who needs GitHub Copilot when you can roll your own AI code assistant at home • The Register
[https://www-theregister-com.cdn.ampproject.org/v/s/www.theregister.com/AMP/2024/08/18/self_hosted_github_copilot] - - public:mzimmerm
OpenAI’s GPT-4o Mini isn’t much better than rival LLMs • The Register
AI models face collapse if they overdose on their own output • The Register
Honey, I shrunk the LLM! A beginner's guide to quantization • The Register
10 profound answers about the math behind AI - Big Think
[https://bigthink.com/starts-with-a-bang/10-answers-math-artificial-intelligence/] - - public:mzimmerm
Linux 6.10 Improves AMD ROCm Compute Support For “Small“ Ryzen APUs - Phoronix Forums
[https://www.phoronix.com/forums/forum/linux-graphics-x-org-drivers/open-source-amd-linux/1466910-linux-6-10-improves-amd-rocm-compute-support-for-small-ryzen-apus] - - public:mzimmerm
Install this version. Find when in tumbleweed
210,000 CODERS lost jobs as NVIDIA released NEW coding language. - YouTube
The Best GPUs for Deep Learning in 2023 — An In-depth Analysis
BERT Transformers – How Do They Work? | Exxact Blog
[https://www.exxactcorp.com/blog/Deep-Learning/how-do-bert-transformers-work] - - public:mzimmerm
Excellent document about BERT transformers / models and their parameters: - L=number of layers. - H=size of the hidden layer = number of vectors for each word in the sentence. - A = Number of self-attention heads - Total parameters.
google/bert_uncased_L-4_H-256_A-4 · Hugging Face
[https://huggingface.co/google/bert_uncased_L-4_H-256_A-4] - - public:mzimmerm
Repository of all Bert models, including small. Start using this model for testing.
Generative pre-trained transformer - Wikipedia
AMD Ryzen AI CPUs & Radeon 7000 GPUs Can Run Localized Chatbots Using LLMs Just Like NVIDIA's Chat With RTX
[https://wccftech.com/amd-ryzen-ai-cpus-radeon-7000-gpus-localized-chatbot-llms-like-nvidia-chat-with-rtx/] - - public:mzimmerm
LM Studio can be installed on Linux with APU or GPU (looks like it needs the AI CPU though??) and run LLM. Install on Laptop and test if it works.
A Step-by-Step Guide to Model Evaluation in Python | by Shreya Singh | Medium
[https://medium.com/@jscvcds/a-step-by-step-guide-to-model-evaluation-in-python-3a72dee92560] - - public:mzimmerm
Solving Transformer by Hand: A Step-by-Step Math Example | by Fareed Khan | Level Up Coding
[https://levelup.gitconnected.com/understanding-transformers-from-start-to-end-a-step-by-step-math-example-16d4e64e6eb1] - - public:mzimmerm
Doing what a transformer is doing, by hand
Statistical Foundations of Machine Learning | Kaggle
[https://www.kaggle.com/code/alexandrelemercier/statistical-foundations-of-machine-learning] - - public:mzimmerm
Mini course of statistical foundations of ML
Introduction - Hugging Face NLP Course
[https://huggingface.co/learn/nlp-course/chapter1/1] - - public:mzimmerm
Natural Languge processing - full course.
Simple Machine Learning Model in Python in 5 lines of code | by Raman Sah | Towards Data Science
[https://towardsdatascience.com/simple-machine-learning-model-in-python-in-5-lines-of-code-fe03d72e78c6] - - public:mzimmerm
How to train a new language model from scratch using Transformers and Tokenizers
[https://huggingface.co/blog/how-to-train] - - public:mzimmerm
Describes how to train a new language (desperanto) model.
5 Sites to Access or Use ChatGPT 4 (GPT 4) For Free - Dignited
[https://www.dignited.com/108801/5-sites-to-access-or-use-chatgpt-4-gpt-4-for-free/] - - public:mzimmerm
(193) Jeff Su - YouTube
(193) Google’s AI Course for Beginners (in 10 minutes)! - YouTube
(193) Google has the best AI now, but there's a problem... - YouTube
Mistral Large STUNS OpenAI - Amazing AND Uncensored!? - YouTube
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ongoing by Tim Bray · Money Bubble
OpenAI sägt Hälfte der KI-Startups ab – und dann fast sich selbst | heise online
[https://www.heise.de/meinung/OpenAI-saegt-Haelfte-der-KI-Startups-ab-und-dann-fast-sich-selbst-9539168.html] - - public:mzimmerm
Introducing Mozilla’s AI Guide, the developers onboarding ramp to AI
[https://blog.mozilla.org/en/mozilla/introducing-mozillas-ai-guide-the-developers-onboarding-ramp-to-ai/] - - public:mzimmerm
The Future of Algorithmic Warfare: Fragmented Development - War on the Rocks
[https://warontherocks.com/2023/07/the-future-of-algorithmic-warfare-fragmented-development/] - - public:mzimmerm
My review of THE COMING WAVE - by Eric Topol
Are A.I. Text Generators Thinking Like Humans — Or Just Very Good at Convincing Us They Are? | Stanford Graduate School of Business
[https://www.gsb.stanford.edu/insights/are-ai-text-generators-thinking-humans-or-just-very-good-convincing-us-they-are?sf179404575=1] - - public:mzimmerm