micropython-lib VS openai-python

This is the current version of my code (excuse the mess it's become..), adapted from https://github.com/micropython/micropython-lib/blob/7128d423c2e7c0309ac17a1e6ba873b909b24fcc/micropython/bluetooth/aioble/examples/temp_client.py

STM32WB55 running MicroPython sounds like it'd suit. Should be fine for the power budget and aioble gives you one of the best BLE libraries on any platform. Documentation is generally good, though BLE is a little light (with some good examples and an active Discord channel!).

Pico (non-W) doesn't have upip (or mip, as that replaces upip now) or urequests because it doesn't have internet access required by them. In theory, you can download urequests from: https://github.com/micropython/micropython-lib/blob/master/python-ecosys/urequests/urequests.py or build your own MP image with it enabled. I don't know if it'll work as you want it to but it's worth a try.

Using SD-card on ESP8266 was more challenging. upip.install('sdcard') does not work.

But ChatGPT truly helped and suggested I find it in Github.

https://github.com/micropython/micropython-lib/blob/master/m...

I don't think there's a mip list command or something like that. So your best bet is to look at the subdirectories in https://github.com/micropython/micropython-lib for a list of installable packages.

Do give it another try if you get a chance; I'd be genuinely interested in hearing about your experience. Be sure to check out the awesome list and micropython-lib if you're looking to fill gaps. There are still many holes but they're rapidly being filled in.

The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:

https://github.com/openai/openai-python/issues/1310

See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.

A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.

- Iterate on large codebases quickly: we use Rust for maximum performance

GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.

[1] Ex. https://github.com/openai/openai-python/discussions/742

Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.

You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742

Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.

This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...

Make sure to install the OpenAI library first. Since I'm using Python, I need

Source: https://github.com/openai/openai-python/discussions/742