TECH DIVE: IN-DEPTH TECHNICAL ARTICLES
The building blocks of LLMs: Vectors, tokens and embeddings
Unlock the intricate world of LLMs with a guide to understanding vectors, tokens, and embeddings, and discover how these foundational elements enable AI to comprehend and generate human-like text.
Mastering Kubernetes optimization: A strategic approach
Unpack the full potential of Kubernetes to drive business efficiency and innovation with a strategic approach to optimization, balancing performance with cost-effectiveness.
What are the core principles of good API design?
Learn the secrets of crafting APIs that stand the test of time with insights from industry experts, ensuring your interfaces are powerful and user-friendly.
Scaling ChatGPT: Five real-world engineering challenges
OpenAI's engineering team tackled the Herculean task of scaling ChatGPT to meet the demands of over 100M weekly users, navigating through GPU shortages, optimizing batch sizes, and learning invaluable lessons along the way.
Kubernetes CPU limits and Go
Discover the secret to optimizing Go services in Kubernetes environments by mastering CPU limits, a must-read for developers aiming for efficiency without over-provisioning.
How I write HTTP services in Go after 13 years
Revamp your Go HTTP services with Mat Ryer's seasoned insights, blending 13 years of evolution and fresh best practices for structurally sound, maintainable, and testable code.
Engineering practices for LLM application development
Take a journey through LLM application development, as Thoughtworks experts unveil their journey in creating a voice-based AI Concierge, sharing invaluable insights on automated testing, adversarial defense, and the ethical considerations that guide their swift and secure delivery.
My favorite Git commit
The art of crafting the perfect Git commit message through a captivating tale of troubleshooting and teamwork, proves it's more than just code; it's a narrative that enriches a project's legacy.