Top 6 Python cohere Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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openlit
OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics in a single application 🔥 🖥 . Open source GenAI and LLM Application Performance Monitoring (APM) & Observability tool
The next generation of LMs will need a greater degree of isolation. Cloud providers like Amazon already allow arbitrary users access to their systems without knowing whether the user is a hacker. The startup E2B brings the same secure containerization technology Amazon uses to the AI space. Treating these LMs as if they were potentially malicious human-level hackers and placing similar restrictions on them as cloud providers do on human users should be sufficient to contain the threat.
Last week we showcased our open-source project, OpenLIT (https://github.com/openlit/openlit), here, and thanks to this incredible community, we hit 300 stars in just a couple of days!
One of my mentors, a core lead on OpenTelemetry, suggested we consider adding a Contributor License Agreement (CLA) to our project, similar to what has been done with OpenTelemetry.
I understand the potential legal benefits a CLA offers, such as ensuring contributions can be freely used and distributed, which could be crucial for the project's long-term viability and to avoid legal complications.
However, I’m equally concerned about the potential downsides, especially regarding community contributions. I worry that a CLA might stop new contributors who prefer to avoid legal hurdles or are reluctant to sign documents. Since OpenLIT aims to be truly open-source and community-driven, keeping the contribution process as straightforward as possible is essential to me.
So, I’m turning to you, HN community, for guidance:
- Have you implemented a CLA for your project? What impact did it have on contributions?
Project mention: A Defacto Guide on Building Generative AI Apps with the Google PaLM API | /r/learnmachinelearning | 2023-09-12⚠️ Alternating Message Authors: the api strictly expects alternating authors for chat based messages. In llmx, I implement a simple check for consecutive messages and merge them with a newline character.
Project mention: Semantic RecSys over Amazon reviews (https://github.com/sfuller14/semantic-consensus) | /r/learnmachinelearning | 2023-06-29This was my submission to the Pinecone hackathon. Try it out here: http://ecommerce-recsys.us-east-2.elasticbeanstalk.com/
Python cohere related posts
Index
What are some of the best open-source cohere projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | autollm | 919 |
2 | code-interpreter | 549 |
3 | openlm | 361 |
4 | openlit | 334 |
5 | llmx | 68 |
6 | semantic-consensus | 13 |
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