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### Model description
HelpingAI is a state-of-the-art large language model specializing in emotionally intelligent conversation. With advanced emotional understanding capabilities, it can engage in…
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### Link
{"id":21,"type":"Router","ieeeAddr":"0xa4c138b618017288","nwkAddr":4156,"manufId":4417,"manufName":"_TZE204_qasjif9e","powerSource":"Mains (single phase)","modelId":"TS0601","epList":[1,242]…
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- A possibility to generate both a "positive" prompt AND a negative prompt (_calculate one then the other in the same load, so that after clicking on "Generate", we obtain both_) at the same time.
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project should reduce online dependency for NLP models. Offline dependency models should be considered
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Can someone advise if I'm connecting this correctly?
I have a Nilan Comfort 300EC - model 300F with CTS 600 control panel
I didn't connect at the Nilan unit itself, as I figured the same terminals a…
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Hey there!
Thanks for this awesome package. I have a question regarding **Fixed effect models, especially Logit** in `statsmodels`.
Is there any implementation of this? I looked at the documentation…
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Support for Wyze Cam v3 Pro similar to existing cam support with optional enhancements
CAMERA_V3_PRO Device model
Current cameras.py attributes such as:
"power_switch",
…
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Hi pbourreau,
I thought of dockerizing BEMserver and below is my DockerCompose file which builds the BEMserver once fuseki-data and jena-fuseki containers are up. The steps are purely based on the …
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### Variables to vary
- self-driving VoT
- self-driving price
- self-driving car density
- Expected induced demand (gained from percieved travel time costs reductions from earlier experiments)
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This error right after starting to interview.
2024-02-01 17:48:00Failed to configure '0xa4c1388366104b9b', attempt 2 (Error: Bind 0xa4c1388366104b9b/1 msTemperatureMeasurement from '0x00212effff0…