AI Stories cover image

AI Stories

Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49

Jun 20, 2024
Lewis Tunstall, an LLM Engineer at Hugging Face and co-author of "Natural Language Processing with Transformers," dives into captivating discussions on topological machine learning and its applications. He contrasts open source and closed source LLMs, shedding light on their implications for security and collaboration. Tunstall shares insights on fine-tuning language models, innovative training techniques, and the importance of community-driven advancements in AI. His journey from Kaggle competitions to real-world applications offers valuable lessons for aspiring data scientists.
01:20:40

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Simplicity in problem-solving, highlighted in the podcast, emphasizes that straightforward methods can effectively address complex business challenges.
  • The transition from academia to industry underscores the importance of data engineering skills, shaping the responsibilities of new data scientists.

Deep dives

The Importance of Simplifying Solutions

Effective problem-solving in data science often hinges on the ability to identify the simplest solutions to complex business challenges. Rather than always reaching for advanced techniques like deep learning, straightforward approaches, including traditional algorithms or even Excel, can yield satisfactory results. This perspective is crucial in the industry, where a robust narrative often accompanies the deployment of simpler methods, highlighting their practicality in real-world applications. Embracing simplicity not only aids in delivering results efficiently but also minimizes long-term maintenance complexities.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode