Mlearning.ai

FEBRUARY 9, 2023

import gradio as gr def greet(name): return "Hello " + name + "!" Using Gradio, you can create and share your own NLP models with others without having to be an expert in web development. You can see how to deploy a Gradio application in the following code.

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Heartbeat

FEBRUARY 28, 2024

Let’s start coding… # Install necessary packages for our project !pip " ) # Launch the interface iface.launch() The system runs successfully and the interface is created.

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AWS Machine Learning Blog

JUNE 29, 2023

In the following code, a known user who loves comedy based on past interactions and is accessing from a phone device is presented with shorter sitcoms: Recommendations for user: 460 ITEM_ID GENRE ALLOWED_COUNTRIES 380 Comedy RU|GR|LT|NO|SZ|VN 540 Sitcom US|PK|NI|JM|IN|DK 860 Comedy RU|GR|LT|NO|SZ|VN 600 Comedy US|PK|NI|JM|IN|DK 580 Comedy US|FI|CN|ES|HK|AE (..)

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Data Science Dojo

NOVEMBER 16, 2023

The result is then formatted for better readability by wrapping the text to a maximum width of 500 characters. BUILDING A GRADIO APP Now we are going to merge the above code snippets to create a gradio application import gradio as gr import pandas as pd def main ( dataset , qs ):     #df = pd.read_csv(dataset.name)     chain =  RetrievalQA.from_chain_type( (..)

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Heartbeat

AUGUST 16, 2023

I predicted the results of the model on a video that belonged to the class entertainment. yolo task=classify mode=predict model=best.pt mp4 As we can see in the above screenshot, entertainment has the highest accuracy with 100 percent. The model was trained well! Deployment The next step is to deploy the model.

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Data Science Dojo

NOVEMBER 16, 2023

The result is then formatted for better readability by wrapping the text to a maximum width of 500 characters. BUILDING A GRADIO APP Now we are going to merge the above code snippets to create a gradio application import gradio as gr import pandas as pd def main ( dataset , qs ):     #df = pd.read_csv(dataset.name)     chain =  RetrievalQA.from_chain_type( (..)

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AWS Machine Learning Blog

MAY 17, 2023

SELECT "FACIES", "FORMATION", "WELL_NAME", "DEPTH", "GR", "ILD_LOG10", "DELTAPHI", "PHIND", "PE", "NM_M", "RELPOS" FROM "NICK_FACIES"."PUBLIC"."TRAINING_DATA"; Run the following SQL command before importing into Canvas. This assumes that the database is called NICK_FACIES. Replace this value with your database name.)

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AWS Machine Learning Blog

JUNE 6, 2023

Pavlos Kaimakis is an Enterprise Solutions Architect looking after Enterprise customers in GR/CY/MT supporting them with his experience to design and implement solutions that drive value to them. His main focus is trading platforms and high performance computing systems. He is also passionate about genomics and bioinformatics.

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Heartbeat

JUNE 19, 2023

Photo by GR Stocks on Unsplash GANs are more than just a breakthrough in the field of deep learning; they represent a quantum leap forward in the capabilities of artificial intelligence. GANs have the power to create hyper-realistic images, videos, and audio that can often fool even the most intelligent human observers.

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Heartbeat

JUNE 22, 2023

Challenges and limitations of NLP powered chatbots Photo by GR Stocks on Unsplash While chatbots that use NLP have many advantages for organizations, there are some drawbacks as well. According to a Forrester Research analysis , chatbots can assist organizations in reducing staff expenses associated with providing customer care .

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Heartbeat

SEPTEMBER 12, 2023

It’s important to note that you can display your app on Hugging Face Hub. Alternatively, you can leverage the Comet dashboard to share with your friends. All you need to do is to utilize the comet_ml.Experiment object.

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