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#deep_learning — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #deep_learning, aggregated by home.social.

  1. Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, was genau hinter d

    magicmarcy.de/was-ist-kuenstli

    #KI #AI #Künstliche_Intelligenz #LLM #Neuronale_Netze #Deep_Learning #Prompt #Prompting

  2. Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, was genau hinter d

    magicmarcy.de/was-ist-kuenstli

    #KI #AI #Künstliche_Intelligenz #LLM #Neuronale_Netze #Deep_Learning #Prompt #Prompting

  3. Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, was genau hinter d

    magicmarcy.de/was-ist-kuenstli

    #KI #AI #Künstliche_Intelligenz #LLM #Neuronale_Netze #Deep_Learning #Prompt #Prompting

  4. Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, was genau hinter d

    magicmarcy.de/was-ist-kuenstli

    #KI #AI #Künstliche_Intelligenz #LLM #Neuronale_Netze #Deep_Learning #Prompt #Prompting

  5. Künstliche Intelligenz, kurz KI, ist längst mehr als ein Schlagwort aus der Forschung. Sie hat sich zu einem festen Bestandteil moderner Softwareentwicklung entwickelt und beeinflusst, wie Anwendungen entworfen, entwickelt und betrieben werden. Dabei ist es wichtig zu verstehen, was genau hinter d

    magicmarcy.de/was-ist-kuenstli

    #KI #AI #Künstliche_Intelligenz #LLM #Neuronale_Netze #Deep_Learning #Prompt #Prompting

  6. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  7. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  8. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  9. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  10. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  11. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  12. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  13. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  14. Клиент — это тоже вектор? Как мы хотели улучшить ML-модель, а построили similarity engine

    Поговорим о том, как превращать последовательности пользовательских событий в векторы, зачем обучать BERT на "языке" клиентского поведения и почему embedding-пространство может неожиданно начать отражать будущую ценность пользователей

    habr.com/ru/articles/1034880/

    #машинное_обучение #анализ_данных #bert #deep_learning #machine_learning #embeddings #transformers

  15. Клиент — это тоже вектор? Как мы хотели улучшить ML-модель, а построили similarity engine

    Поговорим о том, как превращать последовательности пользовательских событий в векторы, зачем обучать BERT на "языке" клиентского поведения и почему embedding-пространство может неожиданно начать отражать будущую ценность пользователей

    habr.com/ru/articles/1034880/

    #машинное_обучение #анализ_данных #bert #deep_learning #machine_learning #embeddings #transformers

  16. Клиент — это тоже вектор? Как мы хотели улучшить ML-модель, а построили similarity engine

    Поговорим о том, как превращать последовательности пользовательских событий в векторы, зачем обучать BERT на "языке" клиентского поведения и почему embedding-пространство может неожиданно начать отражать будущую ценность пользователей

    habr.com/ru/articles/1034880/

    #машинное_обучение #анализ_данных #bert #deep_learning #machine_learning #embeddings #transformers

  17. Клиент — это тоже вектор? Как мы хотели улучшить ML-модель, а построили similarity engine

    Поговорим о том, как превращать последовательности пользовательских событий в векторы, зачем обучать BERT на "языке" клиентского поведения и почему embedding-пространство может неожиданно начать отражать будущую ценность пользователей

    habr.com/ru/articles/1034880/

    #машинное_обучение #анализ_данных #bert #deep_learning #machine_learning #embeddings #transformers

  18. Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces by Volodymyr Pavlyshyn is the featured bundle of ebooks 📚 on Leanpub!

    How to make agents adopted to enterprice grade tasks

    Link: leanpub.com/b/beyondcontextgra

    #ai #deep_learning #data_science #software_architecture #databases #data_structures #software_engineering

  19. Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces by Volodymyr Pavlyshyn is the featured bundle of ebooks 📚 on Leanpub!

    How to make agents adopted to enterprice grade tasks

    Link: leanpub.com/b/beyondcontextgra

    #ai #deep_learning #data_science #software_architecture #databases #data_structures #software_engineering

  20. Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces by Volodymyr Pavlyshyn is the featured bundle of ebooks 📚 on Leanpub!

    How to make agents adopted to enterprice grade tasks

    Link: leanpub.com/b/beyondcontextgra

    #ai #deep_learning #data_science #software_architecture #databases #data_structures #software_engineering

  21. Beyond Context Graphs : Agentic Memory , Causual Graphs , Promise Graphs and decision traces by Volodymyr Pavlyshyn is the featured bundle of ebooks 📚 on Leanpub!

    How to make agents adopted to enterprice grade tasks

    Link: leanpub.com/b/beyondcontextgra

    #ai #deep_learning #data_science #software_architecture #databases #data_structures #software_engineering

  22. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  23. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  24. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  25. The Agentic AI book: From Language Models to Multi-Agent Systems by Dr. Ryan Rad is the featured book 📖 on Leanpub!

    It's never been easier to build an AI agent—and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems, with the depth to understand what you're building and why it fails.

    Link: leanpub.com/TheAgenticAIbook

    #ai #computer_science #deep_learning #data_science #gpt #neural_networks

  26. Обратное распространение ошибки: от интуиции до кода

    Многие умеют вызывать loss.backward() в PyTorch, но не всегда понимают, что именно происходит под капотом. Как сеть вычисляет, какой из миллионов весов нужно изменить? В этой статье мы развеем магию обратного распространения ошибки (backprop). Разберем алгоритм на простых аналогиях с заводским конвейером, вспомним школьное правило дифференцирования и, чтобы закрепить понимание, напишем свой микро-фреймворк для автоматического вычисления градиентов на чистом Python с нуля.

    habr.com/ru/articles/1031986/

    #машинное_обучение #нейросети #backpropagation #обратное_распространение_ошибки #градиентный_спуск #deep_learning #python #математика #вычислительные_графы #micrograd

  27. Обратное распространение ошибки: от интуиции до кода

    Многие умеют вызывать loss.backward() в PyTorch, но не всегда понимают, что именно происходит под капотом. Как сеть вычисляет, какой из миллионов весов нужно изменить? В этой статье мы развеем магию обратного распространения ошибки (backprop). Разберем алгоритм на простых аналогиях с заводским конвейером, вспомним школьное правило дифференцирования и, чтобы закрепить понимание, напишем свой микро-фреймворк для автоматического вычисления градиентов на чистом Python с нуля.

    habr.com/ru/articles/1031986/

    #машинное_обучение #нейросети #backpropagation #обратное_распространение_ошибки #градиентный_спуск #deep_learning #python #математика #вычислительные_графы #micrograd

  28. Обратное распространение ошибки: от интуиции до кода

    Многие умеют вызывать loss.backward() в PyTorch, но не всегда понимают, что именно происходит под капотом. Как сеть вычисляет, какой из миллионов весов нужно изменить? В этой статье мы развеем магию обратного распространения ошибки (backprop). Разберем алгоритм на простых аналогиях с заводским конвейером, вспомним школьное правило дифференцирования и, чтобы закрепить понимание, напишем свой микро-фреймворк для автоматического вычисления градиентов на чистом Python с нуля.

    habr.com/ru/articles/1031986/

    #машинное_обучение #нейросети #backpropagation #обратное_распространение_ошибки #градиентный_спуск #deep_learning #python #математика #вычислительные_графы #micrograd

  29. Обратное распространение ошибки: от интуиции до кода

    Многие умеют вызывать loss.backward() в PyTorch, но не всегда понимают, что именно происходит под капотом. Как сеть вычисляет, какой из миллионов весов нужно изменить? В этой статье мы развеем магию обратного распространения ошибки (backprop). Разберем алгоритм на простых аналогиях с заводским конвейером, вспомним школьное правило дифференцирования и, чтобы закрепить понимание, напишем свой микро-фреймворк для автоматического вычисления градиентов на чистом Python с нуля.

    habr.com/ru/articles/1031986/

    #машинное_обучение #нейросети #backpropagation #обратное_распространение_ошибки #градиентный_спуск #deep_learning #python #математика #вычислительные_графы #micrograd

  30. Inside Large Language Models for absolute beginners: Volume I: Simple Arithmetic and beginning Python based approach by Ritesh Modi is a new release on Leanpub!

    Link: leanpub.com/insidellmvol1

    #books #ebooks #newreleases #leanpublishing #selfpublishing #computer_programming #ai #python #machine_learning #neural_networks #deep_learning #gpt

  31. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  32. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  33. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  34. The Hundred-Page Language Models Course by Andriy Burkov is the featured course 🎓 on Leanpub!

    Master language models through mathematics, illustrations, and code―and build your own from scratch! This course includes nearly three hours of exclusive video interviews with the author, covering questions related to each of the six lessons included in the course.

    Link: leanpub.com/courses/leanpub/th

    #ai #gpt #textbooks #data_science #computer_science #neural_networks #deep_learning #linguistics

  35. Inside Large Language Models for absolute beginners: Volume I: Simple Arithmetic and beginning Python based approach by Ritesh Modi is the featured book 📖 on Leanpub!

    Link: leanpub.com/insidellmvol1

    #computer_programming #ai #python #machine_learning #neural_networks #deep_learning #gpt

  36. Inside Large Language Models for absolute beginners: Volume I: Simple Arithmetic and beginning Python based approach by Ritesh Modi is the featured book 📖 on Leanpub!

    Link: leanpub.com/insidellmvol1

    #computer_programming #ai #python #machine_learning #neural_networks #deep_learning #gpt

  37. Inside Large Language Models for absolute beginners: Volume I: Simple Arithmetic and beginning Python based approach by Ritesh Modi is the featured book 📖 on Leanpub!

    Link: leanpub.com/insidellmvol1

    #computer_programming #ai #python #machine_learning #neural_networks #deep_learning #gpt

  38. Inside Large Language Models for absolute beginners: Volume I: Simple Arithmetic and beginning Python based approach by Ritesh Modi is the featured book 📖 on Leanpub!

    Link: leanpub.com/insidellmvol1

    #computer_programming #ai #python #machine_learning #neural_networks #deep_learning #gpt

  39. Generative AI for Science: A Hands-On Guide for Students and Researchers by J. Paul Liu is the featured book 📖 on Leanpub!

    Link: leanpub.com/generativeaiforsci

    #ai #machine_learning #data_science #neural_networks #deep_learning

  40. Generative AI for Science: A Hands-On Guide for Students and Researchers by J. Paul Liu is the featured book 📖 on Leanpub!

    Link: leanpub.com/generativeaiforsci

    #ai #machine_learning #data_science #neural_networks #deep_learning

  41. Generative AI for Science: A Hands-On Guide for Students and Researchers by J. Paul Liu is the featured book 📖 on Leanpub!

    Link: leanpub.com/generativeaiforsci

    #ai #machine_learning #data_science #neural_networks #deep_learning

  42. Generative AI for Science: A Hands-On Guide for Students and Researchers by J. Paul Liu is the featured book 📖 on Leanpub!

    Link: leanpub.com/generativeaiforsci

    #ai #machine_learning #data_science #neural_networks #deep_learning

  43. My Adventures with Large Language Models: Build foundational LLMs from Transformers to DeepSeek, from scratch, in PyTorch. by Prathamesh S. is the featured book 📖 on Leanpub!

    Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

    Link: leanpub.com/adventures-with-ll

    #machine_learning #deep_learning #ai #python #computer_science #computer_programming #data_science