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OpenAI Services and their Pricing
This article constitutes the second segment of a two-part series. In the initial part, we gained insights into OpenAI’s pricing structure, while in this second installment, we will comprehensively detail the pricing of each of OpenAI’s services. In this article, we will learn about : Difference between GPT-4 and GPT 3.5 Turbo What is Fine…
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How OpenAI Pricing Works ?
This article marks the beginning of a two-part series. In the first part, we will provide an overview of OpenAI’s pricing structure, and in the second part, we will dive into the specifics of pricing for each of OpenAI’s services. In this article, we will learn about : What is OpenAI ? What are tokens…
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From Manual to Magical: Enhancing Marathon Event Image Management
Points Covered : The Manual Challenge of Identifying, Sorting and Distributing Marathon Event Photographs Automating the Process using Machine Learning The Technology Stack Used Value Delivered The Manual Challenge: Identifying and Distributing Marathon Event Photographs : In the context of marathons and large-scale events, a significant challenge arises in efficiently identifying and distributing event photographs…
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The Segment Anything Model by META
Within this article, we will understand : 1.What is SAM ? 2.SAM’s Architecture 3.SAM’s Workflow 4.Key Features 5.Application and Impact of SAM 6.Challenges and Future Development 7.Findings What is SAM : The Segment Anything Model (SAM), developed by Meta AI, presents a significant advancement in AI-driven image segmentation. SAM aims to isolate objects within…
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Decoding Shazam: The Science Behind Song Identification
Within this article, we will understand : 1. What is Shazam 2. How Shazam Identifies Songs 3. Shazam’s Success Factors 4. Findings What is Shazam : Shazam is a music identification app that helps users discover songs quickly. Users hold their smartphone’s microphone to a playing song, and the app provides details about the song,…