GPT to improve Product Search

Prompt - Return attribute, value coreference for below query <Return all black shoes with prices less than 50 dollar>

• Attribute: Color, Value: Black
• Attribute: Price, Value: Less than 50 dollars
• Attribute: Product type, Value: Shoes

Return attribute, value coreference for below query <Cricket is interesting game, India is in Top 10 cricket playing countries>

• Attribute: Game, Value: Cricket
• Attribute: Rank, Value: Top 10
• Attribute: Country, Value: India

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Segmentation Notes

If things work happy else its another next step towards solution :)

Residual Blocks

What is Dice Coeff and Dice Coeff Loss in segmentation explain with python code simple terms

Dice Coefficient (also known as the Sørensen–Dice coefficient) is a measure of similarity between two sets of data. It is commonly used in image segmentation to measure the accuracy of a segmentation algorithm.

The Dice coefficient is calculated as the ratio of the intersection of two sets of data to the union of the two sets. It is expressed as a value between 0 and 1, where 1 indicates a perfect match.

Dice Coefficient Loss is a loss function used in image segmentation tasks. It is used to measure the difference between the predicted segmentation and the ground truth segmentation. The loss is calculated as the negative of the Dice coefficient.

Code Examples Notes

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