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AI/NLP Developer with AWS Lambda experience needed to train and deploy GPT-2 model.

Request details

End goal to make a chatbot that will be used as a ‘friend’ for lonely people (see [login to view URL] [advanced] and chatty-app [login to view URL] [less advanced]). The chatty-app is based on GPT-2 architecture and is what the first iteration should be similar to.

The first iteration of this project will be a relatively simple web app that will communicate back and forth with a machine learning API (accessible via high performance gPRC protobufs) running on AWS lambda endpoint. The final product should be maintained 100% by amazon so I won’t need a system engineer/admin.

The GPT-2 model itself will need to be fine tuned on an empathetic dialogue corpus (which I will provide). To keep server costs low, the training should be done via GPU but once trained, the model should use CPU. I am open to any suggestions that will help keep on-going operational server costs lows (for ex. Imposing a slight delay 1-2 seconds between user questions and chatbot response). Ideally the architecture should allow for:

multi-user support;

up/down voting of responses so that the model can adapt to each user (via beam search [ex. You could create a tensor of weights assigned to multiple outputs from each question, have the model generate multiple output sequences via beam search, and then promote or penalize the weight associated with that response based on the upvote/downvote]); and

allow for transfer learning so that the model output can be biased towards end user’s topical and stylistic preferences via Q&A script (or another method).

Some work on setting up the AWS back end has already been done (had previously worked with another developer on this). The new developer will need to look and understand what work has already been done there and continue.

Any suggestions regarding the overall app and NLP architecture are welcome.

Ongoing development should be tracked via some sort of project management system which I can have access to (such as Trello and weekly emails informing of progress would be appreciated.

Goal is to keep same developer for follow up iterations and development.

Deliverables

The first iteration of this project will be a web app that will communicate back and forth with a machine learning API (accessible via high performance gPRC protobufs) running on AWS lambda endpoint. Users will be able to signup, login and interact with the chatbot.

Evner: Machine Learning (ML), AI (Artificial Intelligence) HW/SW, Aws Lambda

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Om arbejdsgiveren:
( 0 bedømmelser ) London, United Kingdom

Projekt ID: #29329691

6 freelancere byder i gennemsnit $1285 timen for dette job

sherifshsffa91

I can develop your project using the following : - AWS Lambda, amplify and API Gateway - angular frontend - flask backend if needed + AWS Elasticbeanstalk - Amazon Lex for chatbot and comprehend for NLP - Nodejs and Flere

$1333 USD in 7 dage
(1 bedømmelse)
4.4
nycer847

Hello Dear, I see that you need Machine learning Expert. Well, I am an experienced Data Scientist and Machine Learning Engineer. I have expertise in Data Visualization, NLP, Deep learning, Artificial intelligence, ma Flere

$1125 USD in 7 dage
(1 bedømmelse)
4.1
kishanbiet

Hi, I read the job description and I can develop your chat app. We can custom develop android and iOS apps as per your requirement. We are an app development company based out of India. I’ll keep this short and we c Flere

$1500 USD in 45 dage
(0 bedømmelser)
0.0
(0 bedømmelser)
0.0
vinod13893

Hi, I have 4.2 years of industry experience in the field of Artificial intelligence research. I Have already built a chabot using deep learning data used was 1.4tb. Drop me a message so that i can send you the output Flere

$1125 USD in 7 dage
(0 bedømmelser)
0.0
lokeshexperimen8

Dear Sir, I Am AI chatbot developer in last 4 year in field of web Automation,IOT develoeper alexa skill ,action on google ,smart home skill developer ,dailogflow,alexa lex,AWS ,lamdda,nodejs,python developer.I can cre Flere

$1125 USD in 12 dage
(0 bedømmelser)
0.0