gpt-code-search
gpt-code-assistant is an open-source coding assistant leveraging language models to search, retrieve, explore and understand any codebase. [Moved to: https://github.com/narenmanoharan/gpt-code-assistant] (by narenmanoharan)
argilla
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. (by argilla-io)
gpt-code-search | argilla | |
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6 | 15 | |
136 | 3,196 | |
- | 2.8% | |
10.0 | 9.8 | |
11 months ago | 1 day ago | |
Python | Python | |
Apache License 2.0 | 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.
gpt-code-search
Posts with mentions or reviews of gpt-code-search.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-29.
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Show HN: Open-source code search with OpenAI's function calling
Thanks for the clarification. I was confused since the About link at the top of the linked-to repo has the URL https://wolfia.com prominently displayed. Both projects are very interesting and cool. Thanks!
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Open-source code search tool with OpenAI's GPT-4 and function calling
Key Features: - Efficient: Code search, retrieval, and answering all performed with OpenAI's GPT-4 function calling. - Privacy-centric: Code snippets only leave your device when you ask a question and the LLM requires the relevant code. - Ready-to-use: No need for pre-processing, chunking, or indexing. Get started right away! - Universal: It works with any code on your device. Why is it important? This tool aids in leveraging the power of GPT-4 to scan your codebase, eliminating the need to manually copy and paste code snippets or share your code with another third-party service. The tool addresses these issues by letting GPT-4 identify the most relevant code snippets within your codebase, saving you the need to copy and paste or send your code elsewhere. Notably, it fits right into your terminal, sparing you the need for a new UI or window. Here are the types of questions you can ask: - Help with debugging errors and locating the relevant code and files - Document extensive files or functionalities formatted as markdown - Generate new code based on existing files and conventions - Ask general questions about any part of the codebase Despite a few limitations like the inability to load context across multiple files at once and limited search depth, this tool is a considerable step towards a more efficient coding experience. For those seeking an even more powerful tool that uses vector embeddings and a more robust search and retrieval system, check out Wolfia Codex, the cloud-based big brother to gpt-code-search. That's it!
If you want to get smarter in AI, look here first. All the information has been extracted on Reddit for your convenience but you can find the GitHub repo here.
argilla
Posts with mentions or reviews of argilla.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-05.
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Open-Source Data Collection Platform for LLM Fine-Tuning and RLHF
I'm Dani, CEO and co-founder of Argilla.
Happy to answer any questions you might have and excited to hear your thoughts!
More about Argilla
GitHub: https://github.com/argilla-io/argilla
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Meet Argilla: An Open-Source Data Curation Platform for Large Language Models (LLMs) and MLOps for Natural Language Processing
Github link: https://github.com/argilla-io/argilla
- Show HN: Argilla and AutoTrain – Train custom NLP models without code
- Rubrix release 0.17.0 with support for the spaCy training format
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No training data, no problem! Few-shot NER with a practical example
Rubrix, the open-source tool for data-centric NLP: https://github.com/recognai/rubrix
- [D] Expert Advice is needed on designing a feedback Loop for a (Textual Classification + NER) task in Production.
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[D] How should a former Web Developer, pursue career in Machine Learning?
E.g. https://github.com/recognai/rubrix
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[P] Small-Text: Active Learning for Text Classification in Python
I have already thought about providing an example of how to integrate small-text with one of the existing labeling tools, such as rubrix rubrix, but that hasn't been started yet.
- Finding and correcting text classification label errors with cleanlab and Rubrix | https://rubrix.readthedocs.io/en/master/tutorials/find_label_errors.html
- Rubrix: Open-source tool for building NLP training sets (now with weak supervision)