engblogs

This blogpost discusses how Lyft's ML Platform, LyftLearn, saves time and money on big data/ML workloads through increased developer productivity, faster iterations, and cost reduction.

Snorkel AI and Hugging Face collaborate to enable enterprise access to foundation models with increased flexibility and choice.

The blogpost presents the most recent update to the Engineering Career Framework.

The blogpost discusses the concept of Interactive Fleet Learning (IFL) in the context of robot fleets in industry and academia, where the robots learn from human teleoperators and continually improve their performance over time.

Exploring AI safety measures and strategies in depth.

Optimize foundation model performance with linear probing and fine-tuning techniques.

Exploring the importance of building, deploying, and using AI systems safely for our mission

Lambda has been selected as the Americas NVIDIA Partner Network Solution Integration Partner of the Year for the third consecutive year, recognizing their impact on AI education and adoption through NVIDIA accelerated computing.

Exploring the development of the infrastructure that powers the virtual economy on Roblox and the goals of the Economy Group.

This blogpost explores how WebAssembly is revolutionizing web development, enabling faster iteration speed, immediate support across browsers, and improved security, while acknowledging its disadvantages and limitations.

This blog post explores the scope and goals of the recommendation system at Lyft, including customizing app experiences for riders, managing marketplace balance, and recent changes made by the Rider team.

Introducing Koala, a chatbot trained on dialogue data gathered from the web, and its performance compared to ChatGPT and Stanford's Alpaca.