Open Assistant Inference Backend Development
Hands-on coding session building streaming inference into Hugging Face's text generation server, covering CUDA, Python, Rust, gRPC, WebSockets, and server-sent events for AI development.
Using Semantic Search to Find GIFs
Learn to build a GIF search engine using semantic search, exploring data preparation, vector databases, and querying techniques for more accurate and context-aware results.
Shell Scripting Tutorial - Comprehensive Guide
Comprehensive tutorial on shell scripting, covering Vim, I/O, variables, math, functions, conditionals, strings, arrays, looping, and parameter expansions for efficient command-line programming.
What Public Interest AI Auditors Can Learn from Security Testing - Legislative and Practical Wins
Exploring legal and practical strategies for AI auditors to overcome barriers in testing algorithmic bias, drawing lessons from security testing practices and advocating for policy changes.
Systems and Security - Advanced
Explore advanced system architectures, performance optimization, and security concerns in layered systems. Learn debugging techniques and architectural strategies for addressing bottlenecks and vulnerabilities.
RedHat RHCSA - Full Course with Labs
Comprehensive RedHat Linux training covering installation, system administration, networking, and server configuration. Hands-on labs provide practical experience for RHCSA certification preparation.
Towards Understanding Transfer Learning with Applications to Medical Imaging
Explore transfer learning in medical imaging, focusing on deep learning applications, performance evaluation, and feature similarity analysis using CCA. Insights on ImageNet models and chest X-rays included.
The Software GPU - Making Inference Scale in the Real World
Discover how to achieve GPU-level performance for deep learning inference using only software on commodity CPUs, challenging conventional wisdom and offering a cost-effective, flexible solution for scaling AI models.
ALBERT - A Lite BERT for Self-Supervised Learning of Language Representations
Explore ALBERT, a streamlined BERT variant for efficient language representation learning, covering key innovations and performance benchmarks.
Making MLOps Uncool Again
Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.
The Four Pegs of Requirements Engineering with Bertrand Meyer
Explore the four pillars of requirements engineering with Bertrand Meyer, covering concepts, definitions, and practical guidelines to improve software project outcomes.
Tradeoffs in the Software Workflow
Explore tradeoffs in software workflows, balancing fast releases with best practices. Learn strategies for reducing work-in-progress, optimizing value delivery, and managing technical debt in modern software engineering.
Towards an Easy-to-use AI Platform - Data, Algorithms, and Systems - Wei Wang
Explore the development of user-friendly AI platforms, covering data preparation, model construction, debugging, and deployment, with a focus on enhancing efficiency and accessibility.
The Joys and Frustrations of Software Engineering with Mark Harman
Explore software engineering's joys and frustrations through research, deployment, and personal insights. Gain valuable perspectives on code analysis, testing, and SBSE from an industry expert.
Introduction to Multithreading in Modern C++
Learn modern C++ multithreading concepts and build your first multithreaded application. Covers basics to advanced topics, including thread creation, parameter passing, and potential issues.
What is Platform Engineering - Understanding Its Role in Modern Software Development
Explore platform engineering's role in modern software development, its relationship with DevOps, and career opportunities in this emerging field.
Quantum Supremacy Using a Programmable Superconducting Processor II
Explore quantum supremacy using superconducting processors, focusing on Google's hardware path, benchmarking methods, and calibration challenges in quantum computing.
Quantum Machine Learning- Prospects and Challenges
Explore prospects and challenges in quantum machine learning, covering classification techniques, dimensionality reduction, data loading, and benchmarking for both optimistic and cautious perspectives.
Effective Transfer Learning for NLP - Madison May - ODSC East 2018
Explore effective transfer learning techniques for NLP, including parameter-efficient methods using sequence representations. Learn practical improvements for real-world tasks and discover the Enso library for benchmarking.
Tom Luczak at BDF 2015 - "There is No IoT Stack"
Explore IoT's complexity, challenges, and future potential with insights on frameworks, protocols, and emerging technologies in this comprehensive talk by Tom Luczak.
Distributed Systems in Production: Tactics and Strategy - Lecture 32
Explore tactics and strategies for implementing distributed systems in production environments, covering key challenges, best practices, and future trends in scalable system architecture.