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How LLMs (Large Language Models) technology is making chatbots smarter in 2023?

Data Science Dojo

In time, you will become familiar with a wide range of topics, and you will be able to answer questions about them and discuss them in meaningful and logical ways. A better search experience on e-commerce platforms is enabled as a result of this. Reading and comprehending all that information requires a great deal of time.

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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

These data sources spanned an impressive range of topics and formats. What motivated you to choose this topic? What motivated you to choose this topic? What motivated you to choose this topic? What motivated you to choose this topic? In his free time he can be found hiking and rock climbing around New England.

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The 40-hour LLM application roadmap: Learn to build your own LLM applications from scratch

Data Science Dojo

Semantic search – LLM Bootcamp Data Science Dojo Semantic search is used in a variety of industries, such as e-commerce, customer service, and research. For example, in e-commerce, semantic search is used to help users find products that they are interested in, even if they don’t know the exact name of the product.

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Is Predictive Analytics Revealing Unexplored eCommerce Niches?

Smart Data Collective

IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. Are you looking to hit it big and make a killing in the field of e-commerce? So, in this article, we’ll discuss the process of choosing a hidden e-commerce niche wisely.

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The evolution of consumer sentiment analysis tools and the role of startups

Dataconomy

Consumer sentiment analysis isn’t a flashy topic or mind-blowing concept, yet the importance of these tools in business is hot and getting hotter. Without gauging consumer sentiment, businesses can spiral with a solution, looking for a problem instead of meeting customer demands.

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10 Features of ChatGPT: Unleashing the True Potential of This AI-Language Model

Becoming Human

By analyzing the previous messages in a conversation, ChatGPT can identify the topic and provide relevant information. This feature is particularly useful in e-commerce and customer service, where personalized responses can improve customer satisfaction.

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GPTs vs. Human Crowd in Real-World Text Labeling: Who Outperforms Who?

Towards AI

One of the hot topics is whether GPT-like models can replace humans for data annotation and generation tasks. That’s why we use two text classification datasets: one with data “previously unseen” by GPT models and human annotators, and one with non-trivial classification tasks from an e-commerce domain. We decided to find out.