C7-Lecture-Backpack
Lecture Content for Software Engineering, Data Science, and Full Stack Web Development Students (by skills-cogrammar)
fructose
By bananaml
C7-Lecture-Backpack | fructose | |
---|---|---|
1 | 3 | |
83 | 692 | |
- | 12.1% | |
9.6 | 9.1 | |
1 day ago | 26 days ago | |
Jupyter Notebook | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
C7-Lecture-Backpack
Posts with mentions or reviews of C7-Lecture-Backpack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
fructose
Posts with mentions or reviews of fructose.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
- FLaNK AI Weekly 18 March 2024
-
Show HN: Fructose, LLM calls as strongly typed functions
This approach may be too high-level "magic" to the point of being difficult to work with and iterate upon.
Looking at the prompt templates (https://github.com/bananaml/fructose/tree/main/src/fructose/... ), they use LangChain-esque "just try to make the output to be valid JSON" when APIs such as the GPT-4 turbo which this model uses by defauly now support function calling/structured data natively, and libraries such as outlines (https://github.com/outlines-dev/outlines) which is more complex but can better ensure a dictionary output for local LLMs
What are some alternatives?
When comparing C7-Lecture-Backpack and fructose you can also consider the following projects:
outlines - Structured Text Generation
grok-1 - Grok open release