LLMOPs - Inference in CPU with Phi3 4k Instruct ONNX 4-bit Model Using C#
Explore CPU-based inference using 4-bit quantized Phi 3 4K Instruct in ONNX format with C#. Learn practical implementation for efficient machine learning deployment.
The Expression Problem and Lenses - Functional Programming Concepts
Explore functional programming concepts like the Expression Problem and Lenses with Tony Morris. Learn advanced techniques to enhance code flexibility and maintainability.
The Miracle of Generators - Exploring ECMAScript 2015 Iterators and Coroutines
Explore ECMAScript 2015 generators: from simple iterators to powerful coroutines. Learn how they simplify asynchronous programming and uncover a fundamental computer science concept.
Bottom-up Architecture: Bridging the Architecture-Code Gap
Strategies for bridging architecture-code gap: domain alignment, expressing architectural ideas, and leveraging frameworks. Explore tools for structural verification, testability, and documentation to enhance code maintainability.
Building a Web Version of a Board Game - Learn with Jason
Learn to create a web-based board game using HTML, CSS, and JavaScript. Explore game logic implementation, UI design, and leveraging web technologies for interactive gameplay experiences.
Productive Parallel Programming with Dagger.jl - JuliaCon 2024 Workshop
Learn to write fast, parallel Julia code using Dagger.jl. Explore various programming interfaces, build example programs, and gain insights into parallelism through logging and profiling capabilities.
Machine Learning with EEG Time-Series - Easy Python Project - Part 0
Learn to classify EEG data between awake and asleep states using Python and random forest. Covers data loading, preprocessing, feature engineering, and machine learning implementation.
Selecting the Right Cross-Validation Method in Machine Learning
Learn to choose the right cross-validation method for your machine learning model based on data characteristics, including hold-out, k-fold, time-split, and group-fold techniques.
Sleep Classification with Python Using EEG, Sklearn and MNE - Part 1
Enhance EEG sleep stage classification using Python, Sklearn, and MNE. Expand dataset, add new class, and implement Leave-One-Subject-Out cross-validation for improved results.
Microsoft AI: ML.NET Framework in C# - Transfer Learning for Image Classification
Aprende a entrenar modelos de aprendizaje profundo personalizados utilizando transferencia de aprendizaje, TensorFlow y ML.NET para clasificar imágenes de superficies de concreto.
Text Summary Model with BERT
Explore BERT-based text summarization: task overview, algorithm implementation, and model weight importing for effective summary generation.
Function Extraction: Mapping Programs into Mathematica Equations
Extract precise program functions by mapping C-like code to Mathematica equations, enabling correctness verification and solving for program behavior.
Computational Tools for Blockchain Forensics
Harness Wolfram Language for blockchain analysis, forensics, and visualization. Learn to read and write transactions, explore FTX token case study, and integrate with ChatGPT.
What Is ChatGPT Doing? Training Neural Networks - Episode 4
Explore the inner workings of ChatGPT and large language models, covering neural network training, fine-tuning, reinforcement learning, and parameter optimization in this insightful discussion.
What Is ChatGPT Doing? Understanding Large Language Models - Episode 2
Explore the inner workings of ChatGPT and large language models, understanding their token-by-token generation process and the complexities behind their seemingly intelligent outputs.
Global Optimization in Wolfram Language: Solving Nonlinear and Nonconvex Problems
Explore advanced global optimization techniques in Wolfram Language for solving complex nonlinear and mixed-integer problems with real-world examples.
Software Engineering and Computer Science with the Wolfram Compiler
Explore software engineering practices and compiler techniques using the Wolfram Compiler, gaining insights into its internal organization and innovative approaches.
What is ChatGPT Doing and Why Does it Work?
Explore ChatGPT's inner workings and functionality in this unscripted AMA session with Stephen Wolfram. Gain insights into AI language models and their impact on technology.
Machine Learning Automation: The Next Generation
Explore cutting-edge advancements in machine learning automation and discover the future of AI technology with Wolfram's innovative approach.
Train a Production-Level Image Classifier
Learn to build a robust image classifier using advanced techniques like data augmentation, transfer learning, and learning rate scheduling.
Quantum Circuits: Introduction to Wolfram Quantum Computation Framework
Explore quantum computing with Wolfram's framework, covering states, transformations, algorithms, and circuits using symbolic expressions and Wolfram Language.