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... four components of a mathematical programming formulation you know in every optimization model first parameters the known ...

BYOPL course playlist: https://www.youtube.com/playlist?list=PLIgSR01UTt8OHY8WhAqOmr8EzArJYd5Z0 The lambda calculus ...

In this video, I explain LoRA: one of the most important tricks behind efficient Model fine-tuning. The idea is surprisingly simple: ...

... chatbot, highlighting the benefits, potential risks, and lessons learned from using Gen AI for modeling optimization problems.

This is an introductory session of a series of video tutorials on system modeling and Modelica language. We will cover the basic ...

Modelling in Computer Science and many other disciplines is very often language-based. That is why modelling languages have ...

As large language models (LLMs) become increasingly capable, the optimization community is exploring how these tools may ...

... build optimization models uh the summary of this talk if you need a short version is that we linearized indices by storing them as ...

Reverse Engineering LLMs: print(), summary(), and a Roadmap to Building GPT-2-Style Transformers. Part of a Build your own ...

This video answers only the given exam question using only the relevant content from official class notes. No extra ...

The goal of preference optimization is to teach the model: "which response is good" and "which response is bad"... We will learn ...

This demo video showcases the overall workflow of OpenMathAI starting from your data to training the model and finally deploying ...

... Language Processing (NLP) Recommendation Systems Generative AI Models Large Language Models (LLMs) Optimization ...

An MDP, or Markov Decision Process, is the mathematical blueprint used to model decision-making in environments where ...

Transformers have revolutionized Artificial Intelligence and are the foundation behind modern Large Language Models like ...

We hear about AI chat GPT and large language models literally all the time now right but how often do we actually stop and look ...

TinyML Model Optimization and Hardware Integration using ESP8286. TinyML, Edge AI, Model Compression, Weight Pruning, ...

Why does modern artificial intelligence rely so heavily on logarithms and exponentials? In this hands-on lab, we break away from ...

Julia VS Python. Why Julia Is Overtaking Python For Real Time Scientific Simulations And Mathematical Modeling We benchmark ...

If you've heard terms like CUDA, GPU kernels, AI accelerators, or model optimization, this video will give you a quick introduction ...