Introduction As Large Language Models (LLMs) move from research prototypes to production systems, the developers of these systems need rigorous performance evaluation. In particular, we need confidence intervals around estimates of system accuracy. However, LLMs introduce a challenge that is unusual for ML systems: they are (operationally) non-deterministic. Even with the temperature set to zero, […]
All posts categorized in: Machine Learning
Distilling Long-Tail User Behavior into Scalable Embeddings for Job Search
Authors : Marsan Ma, Nikhil Lopes, Raj Amrit, Hong Lu, Dipankar Biswas, Trent KyonoLeadership: Iris Wang, Madhu Kurup Recommendation and ranking systems power many of the most important experiences on large internet platforms. Yet the models that run in production are rarely the largest models we can train. They are usually compact, latency-sensitive supervised models […]
Indeed Open Source: All Things Open 2019 Speakers
We’re excited to have three Indeed representatives presenting at All Things Open this year. Join us in Raleigh, NC October 13-15 for engaging discussions. Sustaining FOSS Projects by Democratizing the Sponsorship Process Tuesday, October 15 | 10:45am | Room 201 Speaker: Duane O’Brien, Indeed head of open source Within a given company, there are typically […]
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