earcar

8 ms·

1. 91.▲
   RubyLLM 1.3.0rc1: Configuration Contexts, Ollama/OpenRouter, and ActiveStorage(paolino.me)

   2 points by earcar 1y ago|0 comments
2. 92.▲
   RubyLLM 1.2.0: Universal OpenAI Compatibility & Custom Models(github.com)

   6 points by earcar 1y ago|0 comments
3. 93.▲
   RubyLLM 1.1.0: AWS Bedrock support and more(github.com)

   2 points by earcar 2y ago|0 comments
4. 94.▲
   RubyLLM 1.1.0rc1 is out with Bedrock support and other improvements(github.com)

   2 points by earcar 2y ago|0 comments
5. 95.▲
   by earcar 2y ago

   There will be no diff support, but it will be updated daily.
6. 96.▲
   by earcar 2y ago

   Daily!
7. 97.▲
   by earcar 2y ago

   Fascinating timing for this feature. I suspect the AI chatbot explosion has been a major driver behind the push for richer select elements. Have you noticed how every AI interface needs to let you choose between models? The current select e
8. 98.▲
   by earcar 2y ago

   Who's actually making the claim we should replace everything with natural language? Almost nobody serious. This article sets up a bit of a strawman while making excellent points. What we're really seeing is specific applications w
9. 99.▲
   A Standard API for LLM Capabilities and Pricing(paolino.me)

   5 points by earcar 2y ago|4 comments
10. 100.▲
    by earcar 2y ago

    Thank you! This is what the Ruby community has always prioritized - developer experience. Making complex things simple and joyful to use isn't just aesthetic preference, it's practical engineering. When your interface matches how
11. 101.▲
    by earcar 2y ago

    Thank you for your kind words! Valid point. I'm actually already working on testing better streaming using async-http-faraday, which configures the default adapter to use async_http with falcon and async-job instead of thread-based app
12. 102.▲
    by earcar 2y ago

    Thanks for flagging this. The eval was only in the docs and meant only as an example, but we definitely don't want to promote dangerous patterns in the docs. I updated them.
13. 103.▲
    by earcar 2y ago

    Thank you!
14. 104.▲
    by earcar 2y ago

    Thank you!
15. 105.▲
    by earcar 2y ago

    Thank you!
16. 106.▲
    by earcar 2y ago

    Thank you!
17. 107.▲
    by earcar 2y ago

    Thank you!
18. 108.▲
    by earcar 2y ago

    Thank you!
19. 109.▲
    by earcar 2y ago

    Thank you!
20. 110.▲
    by earcar 2y ago

    Thank you!
21. 111.▲
    by earcar 2y ago

    Thank you! Not yet, but we have an issue about it https://github.com/crmne/ruby_llm/issues/2
22. 112.▲
    Show HN: RubyLLM 1.0 – A Beautiful Ruby Way to Work with AI(rubyllm.com)

    30 points by earcar 2y ago|19 comments
23. 113.▲
    Show HN: MQTT Alive Daemon – Report Custom Command Results to Home Assistant

    5 points by earcar 2y ago|0 comments
24. 114.▲
    by earcar 2y ago

    Thanks for the thoughtful reply! You're right, there are other solutions out there. Glean's the pricey one aimed at big companies, but from what I've seen, the others are either still in development or not quite hitting the m
25. 115.▲
    by earcar 2y ago

    Here's the link to the survey: https://tally.so/r/wzqDq8
26. 116.▲
    Ask HN: Solving workplace knowledge fragmentation with AI

    2 points by earcar 2y ago|3 comments
27. 117.▲
    by earcar 2y ago

    As a cluster headache sufferer and developer, I found existing tracking tools inadequate. So I built a new one, coding between attacks while hospitalized. Here's what I learned about innovation, open source, and turning adversity into
28. 118.▲
    I built an open-source Cluster Headache Tracker from my hospital bed(clusterheadachetracker.com)

    5 points by earcar 2y ago|2 comments
29. 119.▲
    Introducing TensorFlow Model Analysis: Scaleable, Sliced, and Full-Pass Metrics(medium.com)

    3 points by earcar 9y ago|0 comments
30. 120.▲
    Guild AI: streamlining TensorFlow and Keras deep learning workflows(guild.ai)

    2 points by earcar 9y ago|0 comments