engblogs

This blog post describes a Machine Learning (ML) powered proactive churn prevention solution that predicts advertiser churn in the near future, empowering sales teams to mitigate churn effectively.

Using GPT-4, we generate explanations for behavior of neurons in language models and provide dataset of explanations and scores for every neuron in GPT-2.

Explore top NLP papers for April 2023, covering topics like toxicity evaluation, large language model limitations, neural scaling laws, and retrieval-augmented models.

Deploying a minimal LangChain app to Fly.io using Flask

Revitalizing American manufacturing through the LGO playbook of Jeff Wilke, former CEO of Amazon's Worldwide Consumer business.

Learn how to use data to build your AI moat at The Future of Data-Centric AI 2023, the largest annual gathering of the data-centric AI community.

A tool for simulating complex systems is created, improving algorithms and boosting application performance by eliminating bias.

This blog post provides a detailed analysis of replay traffic testing, a versatile technique used by Netflix to validate system migrations and ensure no downtime while transitioning traffic to upgraded architecture.

Support and resources offered by Cohere's Accelerator Program for developers, startups, and enterprise-level deployments

This blogpost discusses the challenge of out-of-distribution blindness in machine learning models and presents an energy-based approach for improving out-of-distribution detection.

Redesigning Snorkel's interactive machine learning systems to meet customer needs and enable the adoption of foundation models and large language models.

Overview of EleutherAI's approach to alignment research