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Training large language models (LLMs) is a tricky balancing act. Push them too hard and they become unstable be too cautious ...

This video explores a groundbreaking approach to formalizing mathematics using Category Theory, aiming to bridge the gap ...

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection.

Speaker(s): Kyle Yu Developing high-performance custom GPU kernels is critical for pushing the boundaries of AI inference, yet it ...

We'll have two interesting sessions in English 🇬🇧: 🗣 Árpád Goretity and Oliver Kocsis will talk to us about #NPL solutions and ...

Speaker(s): Mustafa Eyceoz Join us for an overview of all the latest methods of language model post-training openly available ...

This episode provides a deep dive into **building a complete PyTorch training loop from scratch**, demonstrating how to achieve ...

We'll have two interesting sessions in English 🇬🇧: 🗣 Árpád Goretity and Oliver Kocsis will talk to us about #NPL solutions and ...

In this video, we dive into a common issue faced by users of Pyomo, a powerful optimization modeling language in Python.

Ever wondered how AI *actually* learns and gets so incredibly smart? This episode of Gen AI Simplified dives deep into ...

Talk: How to Optimize, Validate and Deploy ML Models on Device 👤 Speaker: Bhushan Sonawane & Meghan Stronach 📍 Event: ...

Notebook - https://gist.github.com/vukrosic/c8f370a1d041f58bd28fdea9339467f8 Notebook on drive ...

What You'll Learn: Learn how to translate R code to Python within Jupyter Notebooks using CoCalc's AI Assistant. This tutorial ...

Training massive AI models, like the ones that power modern chatbots and image generators, is an incredibly complex and ...

Want to land a top ML role at FAANG companies like Meta or Google? This ultimate system design guide covers everything you ...

Mastering Gradients & Initialization in Neural Networks | Backpropagation Explained Overview: Dive deep into Chapter 7, ...

Supervised Learning & Linear Regression: A Foundational Guide Overview: Dive into the core concepts of supervised learning in ...

Learn more at: https://en.wikipedia.org/wiki/Reinforcement_learning Content adapted from Wikipedia under CC BY-SA 4.0 Policy ...

One to Many equivalent in Cassandra and data model optimization Helpful? Please use the *Thanks* button above! Or, thank me ...

This lecture continues our discussion of linear models and shows that they are an expressive class of functions. For more details ...