AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
1min snip
Ben Wellington: ML for Finance and Storytelling through Data
The Gradient: Perspectives on AI
Challenges of Using LLMs and Open Source Tools in Reproducing Experiments
The rapid evolution of LLMs creates significant challenges for researchers attempting to reproduce experiments. Variations in outputs, even within a short timeframe, can undermine the robustness of scientific methods. When foundational inputs, like models or tools, change unexpectedly, it risks the integrity of the research, indicating potential weaknesses in the methodology. Building custom tools and models allows researchers to maintain control over versioning and changes, thus enhancing the reproducibility of their experiments. This approach is particularly vital in fields demanding precise data stability, as it enables researchers to ensure that their investigations accurately reflect the phenomena they are studying.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
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