GPt | Gaussian Processes for Sequential Data | Analytics library
kandi X-RAY | GPt Summary
kandi X-RAY | GPt Summary
Gaussian Processes for Sequential Data
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Builds the likelihood
- Builds the entropy of the latent space
- Gather values from a list
- Builds the emission expectations
- Calculate the stochastic entropy
- Builds the density evaluation
- Computes the transition probability for the given samples
- Builds the transition expectations
- Sample from T
- Builds a linear time sample from linear time series
- Build transition KLs from samples
- Calculate KL divergence
- Calculate variational expectations
- Logarithm function
- Logarithm of the covariance matrix
- Logarithm of the model
- Predict the mean and variance of the covariance matrix
- R Compute the log likelihood
- Predicts the mean and variance
- Sample a conditional function
- Return the variance of the model
GPt Key Features
GPt Examples and Code Snippets
Community Discussions
Trending Discussions on GPt
QUESTION
I'm trying to wrap my head around training OpenAI's language models on new data sets. Is there anyone here with experience in that regard? My idea is to feed either GPT-2 or 3 (I do not have API access to 3 though) with a textbook, train it on it and be able to "discuss" the content of the book with the language model afterwards. I don't think I'd have to change any of the hyperparameters, I just need more data in the model.
Is it possible??
Thanks a lot for any (also conceptual) help!
...ANSWER
Answered 2021-May-28 at 08:46You can definitely retrain GPT-2. Are you only looking to train it for language generation purposes or do you have a specific downstream task you would like to adapt the GPT-2?
Both these tasks are possible and not too difficult. If you want to train the model for language generation i.e have it generate text on a particular topic, you can train the model exactly as it was trained during the pre-training phase. This means training it on a next-token prediction task with a cross-entropy loss function. As long as you have a dataset, and decent compute power, this is not too hard to implement.
When you say, 'discuss' the content of the book, it seems to me that you are looking for a dialogue model/chatbot. Chatbots are trained in a different way and if you are indeed looking for a dialogue model, you can look at DialoGPT and other models. They can be trained to become task-oriented dialog agents.
QUESTION
I have a question about GPT-3. As we know we can give some examples to the network and "adjust" the model.
- Show examples to the model.
- Save these examples.
- Reuse the APIs.
ANSWER
Answered 2021-May-22 at 20:19Every time I have to retrain it - is there any way to reuse it?
No, there isn't any way to reuse it. You are mixing up the terms: You don't need to train GPT-3, you need to pass in examples to the prompt. As you don't have any kind of container in which you could store previous results (and thus "train" your model), it's required to pass examples including your task each and every time.
To perfect the engineering process (and therefore reduce the cost per request) is a difficult process and will take a long time with trial and error.
Though let's be honest: Even with passing the examples every time, GPT-3 is extremely cost efficient. Depending on your specific situation, you (on average) only spend a few hundred tokens for a complex completion with Davinci.
QUESTION
Update: I got this working but am still not 100% sure why. I've appended the fully and consistently working script to the end for reference.
I'm trying to script a series of disk partition commands using sgdisk and mkfs.vfat. I'm working from a Live USB (NixOS 21pre), have a blank 1TB M.2 SSD, and am creating a 1GB EFI boot partition, and a 999GB ZFS partition.
Everything works up until I try to create a FAT32 filesystem on the EFI partition, using mkfs.vfat, where I get the error in the title.
However, the odd thing is, the mkfs.vfat command succeeds, but throws that error anyway and blocks the rest of the script. Any idea why it's doing this and how to fix it?
Starting with an unformatted 1TB M.2 SSD:
...ANSWER
Answered 2021-May-20 at 21:33It may take time for kernel to be notified about partition changes. Try calling partprobe before mkfs, to request kernel to re-read the partition tables.
QUESTION
I have a use case that I want to use to help independent creators talk about their interests on Twitter using their experiences.
It goes like this:
You have an interest you want to talk about Entrepreneurship
You have an experience like Pain
Is there a way for an AI (like GPT) to generate prompts that uses these two words to create a list of open-ended questions that provoke thoughts such as these:
- If entrepreneurship wasn't painful, what would it look like?
- What do you know about entrepreneurship that is painful that starters should know?
- How can you lower the barrier to entrepreneurship so that it's a less painful opportunity for a person to take?
If so, how will it work, and what do I need to do?
I've explored Open AI's documentation on GPT-3, I'm unclear if it solves this problem of generating prompts.
Thanks!
...ANSWER
Answered 2021-May-08 at 09:46You should provide some samples so that the GPT-3 can see the pattern and produce a sensible response from your prompt. For example, see the following screenshot from your case. Note that the bold text is my prompt. The regular text is the response from GPT-3. In that example, I was "priming" the GPT-3 with relevant pattern: First line, the general description, then the Topics, followed by Questions. This should be enough for booting up your ideas and customizations.
QUESTION
I'm currently working on an App to search file from disk. Till now what I have done is searching files by the snapshot.
I'm wondering if I can read the RAW bytes from the disk, instead of getting volumes and searching files with a high-level API directly. What I want to do is extracting partition or volumes from GPT or MBR manually, indexing files with different policies based on different type of file system, hopefully I could speed up the searching much.
I need to know how to read the RAW bytes from the disk, but unfortunately, I still don't know how to take the first step after some researches.
Could you please share me any idea about it, any help will be appreciated.
Thanks.
...ANSWER
Answered 2021-May-09 at 15:32So i am no expert on anything I am saying but I have some ideas here.
- On linux / Unix all devices are just files. Yes your hard drive is a file as well as your printer 🤯
- You could read that file byte by byte or whatever you want to achieve.
If Swift can't do that than use C. You can use Bridging Headers to interact with c code in your swift code.
QUESTION
I don't use /dev/sdb and I can't delete it. In Azure->Disks i have only my Os_Disk 30GB, in VM tab in Disks there is also only Os_Disk.
fdisk -l shows 2 disks:
ANSWER
Answered 2021-Apr-16 at 13:53Azure A_v2-Series VMs have additional temporary disk attached(in your case it is /dev/sdb)
The temporary disk provides short-term storage for applications and processes, and is intended to only store data such as page or swap files.
Data on the temporary disk may be lost during a maintenance event, shutdown or when you redeploy a VM. During a successful standard reboot of the VM, data on the temporary disk will persist.
https://azure.microsoft.com/en-us/blog/new-av2-series-vm-sizes/
https://docs.microsoft.com/en-us/azure/virtual-machines/managed-disks-overview#temporary-disk
QUESTION
Due to problems might caused by NFS ref, I tried to build iSCSI volume mount in K8S cluster, yet I got errors:
MountVolume.MountDevice failed for volume "iscsipd-rw" : mount failed: exit status 32
Mounting arguments: --description=Kubernetes transient mount for /var/lib/kubelet/plugins/kubernetes.io/iscsi/iface-default/192.168.20.100:3260-iqn.2020-09.com.xxxx:yyyy.testtarget-lun-1 --scope -- mount -t ext4 -o defaults /dev/disk/by-path/ip-192.168.20.100:3260-iscsi-iqn.2020-09.com.xxxx:yyyy.testtarget-lun-1 /var/lib/kubelet/plugins/kubernetes.io/iscsi/iface-default/192.168.20.100:3260-iqn.2020-09.com.xxxx:yyyy.testtarget-lun-1
mount: /var/lib/kubelet/plugins/kubernetes.io/iscsi/iface-default/192.168.20.100:3260-iqn.2020-09.com.xxxx:yyyy.testtarget-lun-1: wrong fs type, bad option, bad superblock on /dev/sdb, missing codepage or helper program, or other error.
At beginning I follow this document to create iSCSI initiator, due to errors caused by different situation, I've tried various settings multiple times. iSCSI initiator connection looked well
...ANSWER
Answered 2021-Apr-14 at 05:53problem solved. thanks to [Long Wu Yuan] on Slack#kubernetes-users.
information provided before problem solved:
QUESTION
I'm attempting to export a list to a CSV file. The output should look something like this:
Computer Name BIOS Operating System Version Disk Number Size (GB) Partition Type DEVICE1 UEFI Microsoft Windows 10 Pro 10.0.19042.0 0 954 GPT DEVICE1 UEFI Microsoft Windows 10 Pro 10.0.19042.0 1 119 GPT etc...However, the output in the CSV file looks like this:
Count Length LongLength Rank SyncRoot IsReadOnly IsFixedSize IsSynchronized 2 2 2 1 System.Object[] FALSE TRUE FALSERelevant Code
...ANSWER
Answered 2021-Apr-02 at 16:36You need to use "Select-Object" with the list of attributes:
$Result | Select-Object -Property "Computer Name", "BIOS", "Operating System", "Version", "Disk Number", "Size (GB)", "Partition Type" | Export-Csv -Path ($OutputDirectory + "\DiskPartitionAudit $((Get-Date).ToString('MM-dd-yyyy hh-mm-ss tt')).csv") -NoTypeInformation
QUESTION
I have a Flask app running on Google Cloud Run, which needs to download a large model (GPT-2 from huggingface). This takes a while to download, so I am trying to set up so that it only downloads on deployment and then just serves this up for subsequent visits. That is I have the following code in a script that is imported by my main flask app app.py:
...ANSWER
Answered 2021-Mar-30 at 16:27Data written to the filesystem does not persist when the container instance is stopped.
Cloud Run lifetime is the time between an HTTP Request and the HTTP response. Overlapped requests extend this lifetime. Once the final HTTP response is sent your container can be stopped.
Cloud Run instances can run on different hardware (clusters). One instance will not have the same temporary data as another instance. Instances can be moved. Your strategy of downloading a large file and saving it to the in-memory file system will not work consistently.
Also note that the file system is in-memory, which means you need to have additional memory to store files.
QUESTION
I'm not 100% sure how to title this but I feel this is fine. I've attempted to do a single GPU passthrough to this windows guest. When I run it however I get the following output,
...ANSWER
Answered 2021-Mar-18 at 04:49I'm not sure where this error arises still but I have a working solution on my own system. I went into virt-manager and removed just about every device I do not need and that fixed the issue.
I wish I could be more specific on what worked but if you're having this issue try that then boot it again.
Now its off to the front lines vs Error 43!!! LETS GOO!!!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GPt
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
