Тёмный

Non-LLM Approaches are Usually Still Better for NLP 

Super Data Science: ML & AI Podcast with Jon Krohn
Подписаться 22 тыс.
Просмотров 159
50% 1

Dr. Julia Silge, Engineering Manager at Posit, joins ‪@JonKrohnLearns‬ to introduce Positron, a fresh open-source IDE that’s perfect for exploratory data analysis and visualization. She also lays out her top picks for LLMs that boost coding efficiency and discusses when traditional NLP methods might be the smarter choice over LLMs. Plus, Julia highlights some must-know open-source libraries that make managing MLOps easier than ever. Tune in for insights that every data scientist, ML engineer, and developer will find useful.
Watch the full interview “817: The Positron IDE, Tidy NLP and MLOps - with Dr. Julia Silge” here: www.superdatas...

Опубликовано:

 

30 сен 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 1   
@MartyAckerman310
@MartyAckerman310 17 дней назад
I still get good results from building classifiers from word embeddings. A homemade solution is cheaper, faster, easier to control and manage, and usually performs better.
Далее
Has Generative AI Already Peaked? - Computerphile
12:48
What is RAG? (Retrieval Augmented Generation)
11:37
Просмотров 147 тыс.