Ines Montani, co-founder and CEO of Explosion, speaks with host Jeremy Jung about solving problems using natural language processing (NLP). They cover generative vs predictive tasks, creating a pipeline and breaking down problems, labeling examples for training, fine-tuning models, using LLMs to label data and build prototypes, and the spaCy NLP library.
Episode 538: Roberto Di Cosmo on Archiving Public Software at Massive Scale
Episode 537: Adam Warski on Scala and Tapir
Episode 536: Ryan Magee on Software Engineering in Physics Research
Episode 535: Dan Lorenc on Supply Chain Attacks
Episode 534: Andy Dang on AI/ML Observability
Episode 533: Eddie Aftandilian on GitHub Copilot
Episode 532: Peter Wyatt and Duff Johnson on 30 Years of PDF
Episode 531: Xe Iaso on Tailscale
Episode 530: Tanmai Gopal on GraphQL
Episode 529: Jeff Perry on Career Management for Software Engineers
Episode 528: Jonathan Shariat on Designing to Avoid Worst Case Outcomes
Episode 527: Adrian Kennard and Kevin Hones on Writing a Network OS from Scratch
Episode 526: Brian Campbell on Proof of Possession Defenses
Episode 525: Randy Shoup on Evolving Architecture and Organization at eBay
Episode 524: Abi Noda on Developer Experience
Episode 523: Jessi Ashdown and Uri Gilad on Data Governance
Episode 522: Noah Gift on MLOps
Episode 521: Phillip Mayhew on Test Automation in Gaming
Episode 520: John Ousterhout on A Philosophy of Software Design
Episode 519: Kumar Ramaiyer on Building a SaaS
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