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This is a guest post from Iulia Feroli, founder of the Back To Engineering community on YouTube. TensorFlow is a powerful open-source framework for building machine learning...
Training, exporting, and using a TensorFlow model is a great way to gain a low-level understanding of the building blocks of the LLMs fueling the AI revolution. Since I am comforta...
Choosing between PyTorch and TensorFlow isn’t about finding the “better” framework – it’s about finding the right fit for your project. Both power cutting-edge AI systems, but they...
Speculation runs high when a company goes public and its shares hit the market. The company sets a price, investors subscribe, and on listing day the market decides whether that pr...
LLMs are revolutionizing AI, but their sheer size often creates deployment challenges. What if you could make these powerful models…Continue reading on DevTechie »
Running big AI models is getting ridiculously expensive. Bigger models use more memory and power, especially for long chats or large searches. Google Research just dropped somethin...
В этом поколении открытых моделей улучшены возможности рассуждения и эффективность архитектуры. Ниже будет инструкция по дообучению модели на собственных данных. | Если вам интере...
Part 1: Understanding the StackContinue reading on Medium »
Large language models (LLMs) have shifted dramatically from monolithic, proprietary APIs toward highly efficient, open-weight models that developers can run on commodity hardware....
This is a guest post from Iulia Feroli, founder of the Back To Engineering YouTube community. In this tutorial, we build a live object detection app using TensorFlow and PyC...
Learn how Google’s TPUs power increasingly demanding AI workloads with this new video.
TL;DR GPT Image 1.5 (OpenAI) lidera LM Arena con un Elo de 1.264, destacando en calidad general, fotorrealismo y cumplimiento de instrucciones. Seedream 4.5 (ByteDance), con Elo...
Gemma 4 & LLM Ops: Fine-Tuning, Local Inference, and VRAM Management Today's Highlights Today's top stories delve into practical challenges and solutions for local...
Google dropped Gemma 4 on April 2, 2026, A full generational jump in what open models can do at their parameter range and the first time in the Gemma family's history that one ship...
Большие языковые модели требуют огромных объёмов памяти. Например, модель с 8 миллиардами параметров в формате FP16 занимает 24–27 ГБ памяти только для инференса (веса, кэш ключей-...
Большие языковые модели требуют огромных объёмов памяти. Например, модель с 8 миллиардами параметров в формате FP16 занимает 24–27 ГБ памяти только для инференса (веса, кэш ключей-...
Большие языковые модели требуют огромных объёмов памяти. Например, модель с 8 миллиардами параметров в формате FP16 занимает 24–27 ГБ памяти только для инференса (веса, кэш ключей-...
Learning from the World Around Us:Continue reading on Medium »
В данной публикации попробуем сформировать простейшую нейросеть. Будем использовать Colab. Данный выбор также хорош тем, что то, что позволено Юpyтеру не позволено быку. Иметь лока...
Ant Group has open-sourced Ling-2.6-Flash, a highly efficient 104B-parameter model optimized for agent tasks and capable of matching larger models at a fraction of the cost.
Durante años, la conversación sobre la huella eléctrica de la inteligencia artificial giró en torno al entrenamiento de modelos gigantes. Un equipo de la Universidad de Michigan ac...
ByteDance's new open-source multimodal model Lance runs on 40GB VRAM, reaching Hugging Face's trending chart within a day of release.
Нейронные сети сегодня уже не какая-то магия из научных статей. Они стоят за рекомендациями в сервисах, распознаванием изображений и, конечно, за LLM-моделями, которыми мы пользуем...
Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale from deve...
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