•  

Tabnine with Eran Yahav

0
0

Tabnine is an AI assistant that helps software engineers write more efficient code.  It’s been trained on a large corpus of source code or can be trained based on your specific codebase.  Either way, the resulting model offers predictive completion of code that can make programmers more productive.  In this episode, I interview Eran Yahav, professor at Technion – Israel Institute of Technology and CTO at Tabnine.


Sponsorship inquiries: sponsor@softwareengineeringdaily.com


The post Tabnine with Eran Yahav appeared first on Software Engineering Daily.


No comments yet...
Log in to comment
0 0 0
2024-05-16

Pinata and the Interplanetary File System with Matt Ober

The interplanetary filesystem, or IPFS, is a peer-to-peer network that uses a distributed and decent…
0 0 0
2024-05-15

Animal Well with Billy Basso

Animal Well is a Metroidvania game developed as a solo project by Billy Basso over the course of sev…
0 0 0
2024-05-14

LLMs for Data Queries with Sarah Nagy

One of the most promising applications of large language models is giving non-experts the ability to…
0 0 0
2024-05-09

Implementing KYC and User Verification with Alex Grinman

Almost every application or system involves some sort of user onboarding. Increasingly, companies mu…
0 0 0
2024-05-08

Nuxt JS with Anthony Fu

Vue is a popular JavaScript frontend framework, and Nuxt is an open source meta-framework on top of …
0 0 0
2024-05-07

Scaling Large ML Models to Small Devices with Atila Orhon

The size of ML models is growing into the many billions of parameters. This poses a challenge for ru…

Software Engineering Daily

Technical interviews about software topics.

Log in to Follow

More episodes from Software Engineering Daily

Top Podcasts Top rated Podcasts

Recent visits Your last viewed items