open-interpreter
SynapseML
| open-interpreter | SynapseML | |
|---|---|---|
| 24 | 18 | |
| 48,820 | 4,973 | |
| 7.3% | 0.3% | |
| 9.9 | 9.0 | |
| 4 days ago | 8 days ago | |
| Python | Scala | |
| GNU Affero General Public License v3.0 | MIT License |
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.
open-interpreter
- OpenInterpreter – Natural language interface to your computer
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LaVague: Open-source Large Action Model to automate Selenium browsing
I think openinterpreter [1] were one of the first teams in this space along with shroominic code interpreter api and afaik they started with selenium but have expanded to do a lot more os level work but wonder if having a more narrow specialization could help these newer projects be better at the one thing they are focused on.
[1] https://openinterpreter.com/
- The Next Generation of Claude (Claude 3)
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Ask HN: What are some actual use cases of AI Agents?
I taught https://github.com/KillianLucas/open-interpreter how to use https://github.com/ferrislucas/promptr
Then I asked it to add a test suite to a rails side project. It created missing factories, corrected a broken test database configuration, and wrote tests for the classes and controllers that I asked it to.
I didn't have to get involved with mundane details. I did have to intervene here and there, but not much. The tests aren't the best in the world, but IMO they're adding value by at least covering the happy path. They're not as good as an experienced person would write.
I did spend a non-trivial amount of time fiddling with the prompts I used to teach OI about Promptr as well as the prompts I used to get it to successfully create the test suite.
The total cost was around $11 using GPT4 turbo.
I think in this case it was a fun experiment. I think in the future, this type of tooling will be ubiquitous.
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Show HN: Shelly: Write Terminal Commands in English
My understanding is that ShellGPT aims to be a complete OS assistant. It's similar to Open Interpreter (https://github.com/KillianLucas/open-interpreter).
Shelly is a mini tool at the moment that only generates and executes commands for you.
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ollama local - smart file manager?
https://github.com/KillianLucas/open-interpreter Both OpenAI and Local
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Why would you use the code interpreter?
Yeah there's a program called openinterpreter, It works beautifully. https://openinterpreter.com/
- What is the MOST useful GPT powered tool you've used?
- Open-interpreter: OpenAI's Code Interpreter in your terminal, running locally
SynapseML
- FLaNK Stack Weekly for 12 September 2023
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Microsoft announces new tool for applying ChatGPT and GPT-4 at massive scales
Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.11.0
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Data science in Scala
b) There are libraries around e.g. Microsoft SynapseML, LinkedIn Photon ML
- [N] Microsoft Announces New Integrations with OpenAI and MLFlow
- [N] Microsoft Releases new Integrations with OpenAI and MLflow as part of SynapseML
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[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
- Microsoft releases SynapseML v0.9.5 for distributed geospatial analytics, speech synthesis, and anomaly detection in PySpark.
- [P] SynapseML v0.9.5 announces support for geospatial analytics, speech synthesis, and anomaly detection on large-scale datasets
- Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on Apache Spark
What are some alternatives?
zsh_codex - This is a ZSH plugin that enables you to use OpenAI's Codex AI in the command line.
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
flink-cdc - Flink CDC is a streaming data integration tool
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
dspy - DSPy: The framework for programming—not prompting—foundation models
Tensorflow_scala - TensorFlow API for the Scala Programming Language
FLaNK-HuggingFace-BLOOM-LLM - https://huggingface.co/bigscience/bloom into NiFi
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
RecipeUI - Discover, test, and share APIs in seconds
Breeze - Breeze is a numerical processing library for Scala.
rivet - The open-source visual AI programming environment and TypeScript library
azure-kusto-spark - Apache Spark Connector for Azure Kusto