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.
SE Radio 558: Michael Fazio on Modern Android Development
SE Radio 557: Timothy Beamish on React and Next.js
SE Radio 556: Alex Boten on Open Telemetry
SE Radio 555: On Freund on Upskilling
SE Radio 554: Adam Tornhill on Behavioral Code Analysis
SE Radio 553: Luca Casonato on Deno
SE Radio 552: Matt Frisbie on Browser Extensions
Episode 551: Vidal Graupera on Manager 1-1 with Direct Reports
Episode 550: J.R. Storment and Mike Fuller on Cloud FinOps (Financial Operations)
Episode 549: William Falcon Optimizing Deep Learning Models
Episode 548: Alex Hidalgo on Implementing Service Level Objectives
Episode 547: Nicholas Manson on Identity Management for Cloud Applications
Episode 546: Dietrich Ayala on the InterPlanetary File System
Episode 545: John deVadoss on Design Philosophies that Drive .NET/Azure
Episode 544: Ganesh Datta on DevOps vs Site Reliability Engineering
Episode 543: Jon Smart on Patterns and Anti-Patterns for Successful Software Delivery in Enterprises
Episode 542: Brendan Callum on Contract-Driven APIs
Episode 541: Jordan Harband and Donald Fischer on Securing the Supply Chain
Episode 540: Joe Nash on DevRel
Episode 539: Adam Dymitruk on Event Modeling
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