what_are_embeddings
A deep dive into embeddings starting from fundamentals (by veekaybee)
gpt-migrate
Easily migrate your codebase from one framework or language to another. (by joshpxyne)
| what_are_embeddings | gpt-migrate | |
|---|---|---|
| 2 | 11 | |
| 864 | 6,729 | |
| - | - | |
| 8.1 | 7.5 | |
| about 1 month ago | 3 months ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
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.
what_are_embeddings
Posts with mentions or reviews of what_are_embeddings.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-19.
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The Illustrated Word2Vec
That is essentially correct. You take an object and "embed" it in a high-dimensional vector space to represent it.
For a deep dive, I highly recommend Vicki Boykis's free materials:
https://vickiboykis.com/what_are_embeddings/
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GPT Weekly - 3rd July Edition - Adobe’s Safety Net, Open-Source AI: Expanded Context Lengths and more.
LLMs require embeddings to work. What are embeddings? But, did you know embeddings also power the recommendation engines? Another guide on embeddings.
gpt-migrate
Posts with mentions or reviews of gpt-migrate.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-26.
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Chidori – Declarative Framework for AI Agents (Rust, Python, and Node.js)
Also, even if it didn't have it you could use GPT-Migrate (shameless plug) https://github.com/0xpayne/gpt-migrate
- gpt-migrate: Easily migrate your codebase from one framework or language to another.
- GPT-Migrate: Easily migrate your codebase from one framework or language to another.
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AI — weekly megathread!
GPT-Migrate: Easily migrate your codebase from one framework or language to another [Link].
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GPT Weekly - 3rd July Edition - Adobe’s Safety Net, Open-Source AI: Expanded Context Lengths and more.
Migrate code from one language/framework to another. I think this is very cool. Though you have to ensure all copyrights are in place. You cannot simply take a non-commercial code and convert it to something else and use it.
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Transfering code from one programming language to another with ChatGPT
Github
- GPT-Migrate converts repos from one lang/framework to another
What are some alternatives?
When comparing what_are_embeddings and gpt-migrate you can also consider the following projects:
embedchain - Personalizing LLM Responses
chidori - A reactive runtime for building durable AI agents
gpt-author
agent-protocol - Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
openchat - OpenChat: Advancing Open-source Language Models with Imperfect Data
window.ai - Use your own AI models on the web
bark - 🔊 Text-Prompted Generative Audio Model
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks