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Research#llm👥 CommunityAnalyzed: Jan 3, 2026 09:27

Fructose: LLM calls as strongly typed functions

Published:Mar 6, 2024 18:17
1 min read
Hacker News

Analysis

Fructose is a Python package that aims to simplify LLM interactions by treating them as strongly typed functions. This approach, similar to existing libraries like Marvin and Instructor, focuses on ensuring structured output from LLMs, which can facilitate the integration of LLMs into more complex applications. The project's focus on reducing token burn and increasing accuracy through a custom formatting model is a notable area of development.
Reference

Fructose is a python package to call LLMs as strongly typed functions.

Research#NLU📝 BlogAnalyzed: Jan 3, 2026 07:15

Dr. Walid Saba on Natural Language Understanding [UNPLUGGED]

Published:Mar 7, 2022 13:25
1 min read
ML Street Talk Pod

Analysis

The article discusses Dr. Walid Saba's critique of using large statistical language models (BERTOLOGY) for natural language understanding. He argues this approach is fundamentally flawed, likening it to memorizing an infinite amount of data. The discussion covers symbolic logic, the limitations of statistical learning, and alternative approaches.
Reference

Walid thinks this approach is cursed to failure because it’s analogous to memorising infinity with a large hashtable.

DVC – Open Source Machine Learning Version Control System

Published:Feb 10, 2019 19:09
1 min read
Hacker News

Analysis

The article introduces DVC, an open-source system for version control in machine learning. It highlights the importance of versioning in ML workflows, similar to how Git is used for code. The focus is on managing datasets, models, and other artifacts. The article likely aims to raise awareness and encourage adoption of DVC within the ML community.

Key Takeaways

Reference