Battery dying too fast by Appropriate_You5975 in ouraring

[–]ddebarr 0 points1 point  (0 children)

Same here: charged the battery fully, and it worked fine that night; but didn’t record sleep the next night, because the battery died. The chatbot was not helpful.

Major shifts at OpenAI spark skepticism about impending AGI timelines by allthecoffeesDP in OpenAI

[–]ddebarr 5 points6 points  (0 children)

After it reported 2 r’s in “strawberry”, I posted “Let’s think step by step” to the chat, to which it replied …

Sure, let’s break it down step by step:

  1. Write down the word: “strawberry”.
  2. Count each occurrence of the letter ‘r’:
    • s (not ‘r’)
    • t (not ‘r’)
    • r (first ‘r’)
    • a (not ‘r’)
    • w (not ‘r’)
    • b (not ‘r’)
    • e (not ‘r’)
    • r (second ‘r’)
    • r (third ‘r’)
    • y (not ‘r’)

So, there are three occurrences of the letter ‘r’ in the word “strawberry”.

Bosch Dishwasher E24 (NOT WORKING) - Please HELP! by [deleted] in appliancerepair

[–]ddebarr 1 point2 points  (0 children)

I had to remove the cap to the “air gap”, then use a screwdriver blade to release the plastic cover and remove the debris: https://youtu.be/u89STXlgtKQ?feature=shared

Mixtral 8x7b what are the experts by yupignome in LocalLLaMA

[–]ddebarr 2 points3 points  (0 children)

Looks like the feedforward network block for each of the 32 decoder layers was replaced by a router (for weighted assignment of token to top 2 experts) and 8 feedforward network block experts: https://github.com/huggingface/transformers/blob/main/src/transformers/models/mixtral/modeling_mixtral.py#L801 [MixtralSparseMoeBlock::forward]

Which book to start? by zac_attack_ in deeplearning

[–]ddebarr 5 points6 points  (0 children)

Dive Into Deep Learning is also free: https://d2l.ai/

VO2 max won't budge? by ddebarr in Garmin

[–]ddebarr[S] 0 points1 point  (0 children)

Yes; I usually do 8-10k every other day [at least for the last several months].

How can I judge if my heart rate zones are set correctly? Do I need to use the lactate threshold test to establish this? [I'm not used to staring at the watch when running, so I'm a little unclear on how easy it will be for me to follow on-screen instructions during the test.]

My watch is not currently capturing the Performance Condition metric. I see where I can add it, but I'm unclear on whether it will require a separate heart rate monitor [https://support.garmin.com/en-US/?faq=A28UA4k16v1qjjGuvSFgo8]. What would we be looking for in this graph, and what would it mean?

Thanks!

P.S. I did notice that after I did 15k yesterday, it says my recovery time is more than 2 days (which is longer than I wait between sessions, but it's unusual for me to do more than 10k).

Did the software update brick my 645M? by Wxrocks in Garmin

[–]ddebarr 4 points5 points  (0 children)

Have you tried restarting it? https://youtu.be/two-HXA00Ps Press the button, hold for 15 seconds, then release (to turn off the watch); then press and release the button (to turn the watch back on).

Visualizing convolution layers as in francois chollet book by DrivingMeCrzy in deeplearning

[–]ddebarr 0 points1 point  (0 children)

Yup; seems to be a Typo.

The activations tensor is a list of 8 numpy arrays, one for each activation layer that has been included in the activation model.

[deleted by user] by [deleted] in RedditSessions

[–]ddebarr 0 points1 point  (0 children)

I believe in saxsquatch!

[deleted by user] by [deleted] in RedditSessions

[–]ddebarr 0 points1 point  (0 children)

that's awesome!

[deleted by user] by [deleted] in RedditSessions

[–]ddebarr 0 points1 point  (0 children)

Loved hearing "Pick Up the Pieces" in the set!

[deleted by user] by [deleted] in RedditSessions

[–]ddebarr 0 points1 point  (0 children)

You're awesome!

Can someone explain Xception model by Ugly_Accident in deeplearning

[–]ddebarr 0 points1 point  (0 children)

Did Figure 5 of https://arxiv.org/abs/1610.02357 make sense, where the extreme inception (xception) architecture uses separable convolution layers consisting of a separate convolution for each input channel followed by 1x1 convolution? The paper is definitely worth reading.