Chapter
Challenges in Using Language Models for Automatic Programming in Chemistry
3:14:15 - 3:22:11 (07:55)
Language models like transformer-based models can generate deep representations of language space and may be used to create programs that operate on computers. However, the biggest challenge lies in the pipeline from interpreting the initial text to generating the program and running it in the hardware.
Clips
Transformer-based language models can be used to generate syntactically and semantically correct programs, allowing for quicker and more efficient analysis and testing of potential solutions to scientific problems.
3:14:15 - 3:17:35 (03:19)
Summary
Transformer-based language models can be used to generate syntactically and semantically correct programs, allowing for quicker and more efficient analysis and testing of potential solutions to scientific problems.
ChapterChallenges in Using Language Models for Automatic Programming in Chemistry
Episode#269 – Lee Cronin: Origin of Life, Aliens, Complexity, and Consciousness
PodcastLex Fridman Podcast
Researchers have developed a chemical analog of Codex, allowing for the abstraction of chemical procedures into a uniform code that can be implemented in hardware to generate context and improve machine learning.
3:17:35 - 3:18:53 (01:18)
Summary
Researchers have developed a chemical analog of Codex, allowing for the abstraction of chemical procedures into a uniform code that can be implemented in hardware to generate context and improve machine learning. This abstraction also allows for the automated running of code and the retention of meaning that is often lost without it.
ChapterChallenges in Using Language Models for Automatic Programming in Chemistry
Episode#269 – Lee Cronin: Origin of Life, Aliens, Complexity, and Consciousness
PodcastLex Fridman Podcast
This podcast discusses the difficulties in generating programs for chemical synthesis due to the unique language used by chemists, such as the term "reflux," and the need for accurate interpretation of chemical information.
3:18:53 - 3:22:11 (03:17)
Summary
This podcast discusses the difficulties in generating programs for chemical synthesis due to the unique language used by chemists, such as the term "reflux," and the need for accurate interpretation of chemical information.