QUESTION ANSWERING (QA) PROJECT

$45-50 USD

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2 yıldan fazla önce

$45-50 USD

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- PROJECT DETAILS 1# Develop artificial intelligence model based on already existing QUESTION ANSWERING (QA) as BERT on TENSORFLOW. 2# Train the model with data from UNI-T measurement and automotive diagnostic equipment LAUNCH. automotive LAUNCH diagnostic equipment. 3# Must be able to answer technical questions and give recommendations. which clamp works for refrigeration? Which scanner works for throttle body programming? Etc - SKILLS REQUIRED Machine Learning (ML); Data Science; Artificial Intelligence (AI) - BUDGET 45 USD - 50 USD - DEADLINE FRIDAY 17/09/21 - Send proposal of how the project will work FRIDAY 08/10/21 - Model test - Final touches THURSDAY 10/14/21 - Deliver the project FRIDAY 10/15/21 - Model vs. Members of the sales department - OPPORTUNITY Permanent work on our projects

Python

Data Science

Tensorflow

Artificial Intelligence

Machine Learning (ML)

Proje No: 31506403

Proje hakkında

5 teklif

Uzaktan proje

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@lohitdv

Hi, I had read your problem [login to view URL] hugging Face library makes the life simple and give more [login to view URL] free to contact.I can complete the work within the given time.

$45 USD 10 gün içinde

5,0

(2 değerlendirme)

1,8

5 freelancers are bidding on average $52 USD for this job

@datacode0023

Hi, I have +5 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, I absolutely can do your project as you like. Please contact me to discuss more. Have a nice day

$48 USD 7 gün içinde

5,0

(12 değerlendirme)

4,2

@sowmyakatta

Hi, I have worked on QandA project using using BERT and Transformers. The model that you are referring is similar to the one that i have worked on. If you are interested let me know, I will send the details about my previous project for your idea.

$48 USD 7 gün içinde

4,4

(1 değerlendirme)

2,2

@subodh591

I have been working as a AI developer for past 3 years especially in the field of NLP. BERT is based on transformer architecture which implements attention mechanism. It has encoders and decoders. During training, the question is feed to the encoders and the state vectors from encoders along with the answers are fed to the decoders. Uses CBOW to predict the next word in the answer sequence during inference. The quality of output depends on the amount of dataset you have. If the dataset is low this will not generate quality output. Besides, it is also computationally expensive during training phase. I personally suggest you to implement retrieval chatbot instead of this for the project which will be more reliable and lot less effort.

$50 USD 30 gün içinde