stanford_alpaca VS Milvus

Compare stanford_alpaca vs Milvus and see what are their differences.

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stanford_alpaca Milvus
108 103
28,602 26,298
1.4% 4.1%
2.0 10.0
17 days ago about 24 hours ago
Python Go
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.

stanford_alpaca

Posts with mentions or reviews of stanford_alpaca. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-19.
  • How Open is Generative AI? Part 2
    8 projects | dev.to | 19 Dec 2023
    Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
  • Ask HN: AI/ML papers to catch up with current state of AI?
    3 projects | news.ycombinator.com | 15 Dec 2023
  • Fine-tuning LLMs with LoRA: A Gentle Introduction
    3 projects | dev.to | 22 Aug 2023
    In this article, we're going to experiment with LoRA and fine-tune Llama Alpaca using commercial hardware.
  • Creating a new Finetuned model
    3 projects | /r/LocalLLaMA | 11 Jul 2023
    Most papers I did read showed at least a thousand, even 10000 at several cases, so I assumed that to be the trend in the case of Low rank adapter(PEFT) training.(source: [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org) , Stanford CRFM (Alpaca) and the minimum being openchat/openchat · Hugging Face ; There are a lot more examples)
  • Bye bye Bing
    5 projects | /r/ChatGPT | 30 Jun 2023
  • The idea maze for AI startups (2015)
    2 projects | news.ycombinator.com | 28 Jun 2023
    I think there's a new approach for “How do you get the data?” that wasn't available when this article was written in 2015. The new text and image generative models can now be used to synthesize training datasets.

    I was working on an typing autocorrect project and needed a corpus of "text messages". Most of the traditional NLP corpuses like those available through NLTK [0] aren't suitable. But it was easy to script ChatGPT to generate thousands of believable text messages by throwing random topics at it.

    Similarly, you can synthesize a training dataset by giving GPT the outputs/labels and asking it to generate a variety of inputs. For sentiment analysis... "Give me 1000 negative movie reviews" and "Now give me 1000 positive movie reviews".

    The Alpaca folks used GPT-3 to generate high-quality instruction-following datasets [1] based on a small set of human samples.

    Etc.

    [0] https://www.nltk.org/nltk_data/

    [1] https://crfm.stanford.edu/2023/03/13/alpaca.html

  • [D] High-quality, open-source implementations of LLMs
    6 projects | /r/MachineLearning | 22 May 2023
    Alpaca [GitHub]
  • please 0.1.0 released: let GPT-4 remember CLI args
    2 projects | /r/rust | 21 May 2023
    Now if only this could be used offline, eg. with alpaca https://github.com/tatsu-lab/stanford_alpaca
  • Is there a Chatgpt (or other LLMs) powered application in the field of cybersecurity/privacy for end users/b2c?
    2 projects | /r/privacy | 19 May 2023
    If you have a strong enough computer, there is Alpaca and llama.cpp which are both open-source. They also have the best privacy feature of all: to be able to be ran locally offline on your computer. I believe there are more foss LLMs out there too but idr.
  • Does ChatGPT suck at programming for everyone or just for me?
    2 projects | /r/ChatGPT | 15 May 2023
    Are you aware that you can run a pretrained LLM on just 8gb of ram with a single x86 cpu?

Milvus

Posts with mentions or reviews of Milvus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-13.
  • Milvus VS pgvecto.rs - a user suggested alternative
    2 projects | 13 Mar 2024
  • How to choose the right type of database
    15 projects | dev.to | 28 Feb 2024
    Milvus: An open-source vector database designed for AI and ML applications. It excels in handling large-scale vector similarity searches, making it suitable for recommendation systems, image and video retrieval, and natural language processing tasks.
  • Simplifying the Milvus Selection Process
    3 projects | dev.to | 19 Feb 2024
    Github Repository
    3 projects | dev.to | 19 Feb 2024
    Selecting the right version of open-source Milvus is important to the success of any project leveraging vector search technology. With Milvus offering different versions of its vector database tailored to varying requirements, understanding the significance of selecting the correct version is key for achieving desired outcomes.
  • 7 Vector Databases Every Developer Should Know!
    4 projects | dev.to | 8 Feb 2024
    Milvus is an open-source vector database designed to handle large-scale similarity search and vector indexing. It supports multiple index types and offers highly efficient search capabilities, making it suitable for a wide range of AI and ML applications, including image and video recognition, natural language processing, and recommendation systems.
  • Ask HN: Who is hiring? (February 2024)
    18 projects | news.ycombinator.com | 1 Feb 2024
    Zilliz is hiring! We're looking for REMOTE and/or HYBRID roles in SF

    Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most widely adopted vector database. Vector databases are a crucial piece of any technology stack looking to take advantage of unstructured data. Most recently and notably, Retrieval Augmented Generation (RAG). For RAG, vector databases like Milvus are used as the tool to inject customized data. In other words, vector databases make things like customized chat bots, personalized product recommendations, and more possible.

    We are hiring for Developer Advocates, Senior+ Level Engineers and Product people, and Talent Acquisition. Check out all the roles here: https://zilliz.com/careers

  • Qdrant, the Vector Search Database, raised $28M in a Series A round
    8 projects | news.ycombinator.com | 23 Jan 2024
    Good on them, I know the crustaceans are out here happy about this raise for a Rust based Vector DB!

    (now I'm gonna plug what I work on)

    If you're interested in a more scalable vector database written in Go, check out Milvus (https://github.com/milvus-io/milvus)

    8 projects | news.ycombinator.com | 23 Jan 2024
  • Open Source Advent Fun Wraps Up!
    10 projects | dev.to | 5 Jan 2024
    But before we do, I do want to say that 🤩 all these lovely Open-Source projects would love a little 🎉💕 love by getting a GitHub star ⭐ for their efforts. Including Open Source Milvus 🥰
  • First 15 Open Source Advent projects
    16 projects | dev.to | 15 Dec 2023
    1. Milvus by Zilliz | Github

What are some alternatives?

When comparing stanford_alpaca and Milvus you can also consider the following projects:

pgvector - Open-source vector similarity search for Postgres

faiss - A library for efficient similarity search and clustering of dense vectors.

qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Elasticsearch - Free and Open, Distributed, RESTful Search Engine

Face Recognition - The world's simplest facial recognition api for Python and the command line

vald - Vald. A Highly Scalable Distributed Vector Search Engine

nmslib - Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

CompreFace - Leading free and open-source face recognition system

towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

alpaca-lora - Instruct-tune LLaMA on consumer hardware