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Training and Making Predictions with Siamese Networks and Triplet Loss Shivam Chandhok PyImageSearch

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​ Table of Contents Training and Making Predictions with Siamese Networks and Triplet Loss Configuring Your Development Environment Having Problems Configuring Your Development Environment? Project Structure Training Our Siamese Network Model with Triplet Loss Making Predictions with Our Siamese Network Based Face Recognition Model Summary… Read More »Training and Making Predictions with Siamese Networks and Triplet Loss Shivam Chandhok PyImageSearch

Anthropic Introduces Claude: An AI Assistant Redefining Trust, Helpfulness, and Harmlessness with Next-Generation Technology Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ In recent years, there has been a growing buzz around artificial intelligence (AI) interfaces such as ChatGPT. These interfaces are designed to mimic human conversation, allowing users to interact with them naturally using text or voice commands. The popularity of these AI interfaces can… Read More »Anthropic Introduces Claude: An AI Assistant Redefining Trust, Helpfulness, and Harmlessness with Next-Generation Technology Niharika Singh Artificial Intelligence Category – MarkTechPost

Azure Data Manager for Energy: Achieve interoperability with Petrel Larry Sullivan Microsoft Azure Blog > Machine Learning

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​ Microsoft Azure Data Manager for Energy is the first fully managed OSDU™ Data Platform built for the energy industry. This solution is the first step in unraveling the challenge of data—moving from disparate systems and disconnected applications to a holistic approach. The product’s ideation… Read More »Azure Data Manager for Energy: Achieve interoperability with Petrel Larry Sullivan Microsoft Azure Blog > Machine Learning

How A Language Model Decides What To Say Next? This New AI Method Called Tuned Lens Can Trace A Language Model’s Prediction As It Develops From One Layer To The Next Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

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​ The excellent performance of transformers in computer vision and natural language processing justifies research into the internal representations of these systems. Methods that involve training classifiers to infer latent features (such as part-of-speech and syntactic structure) are prevalent. Eleuther AI, FAR AI, Boston University,… Read More »How A Language Model Decides What To Say Next? This New AI Method Called Tuned Lens Can Trace A Language Model’s Prediction As It Develops From One Layer To The Next Tanushree Shenwai Artificial Intelligence Category – MarkTechPost

10 Midjourney Prompt Generators You Should Try (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

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​ Since the advent of Artificial Intelligence, especially deep learning techniques, and the accessibility of massive training datasets, AI image generation has expanded significantly. Many AI image generators are available that generate images from text prompts in seconds. One of the most potent and popular… Read More »10 Midjourney Prompt Generators You Should Try (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost

MIT Researchers Developed Codon: A Python-Based Compiler That Helps Create New Domain-Specific Languages DSLs Within Python Khushboo Gupta Artificial Intelligence Category – MarkTechPost

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​ Domain Specific Languages, or DSLs, are a class of programming languages that provide a high level of abstraction and use certain concepts and rules suitable for a specific set of problems. Examples of DSLs are HTML, which is appropriate for web page layouts, and… Read More »MIT Researchers Developed Codon: A Python-Based Compiler That Helps Create New Domain-Specific Languages DSLs Within Python Khushboo Gupta Artificial Intelligence Category – MarkTechPost

No, This was not my Order: This Approach Improves Text-to-Image AI Models Using Human Feedback Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

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​ Diffusion models have caused havoc in image-generation applications in the last couple of months. The stable diffusion led movement had been so successful in generating images from given text prompts that the line between human-generated and AI-generated images has gotten blurry.  Although the progress… Read More »No, This was not my Order: This Approach Improves Text-to-Image AI Models Using Human Feedback Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

This AI Paper Proposes UPRISE: A Lightweight and Versatile Approach to Improve the Zero-Shot Performance of Different Large Language Models LLMs on Various Tasks Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

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​ Large language models like GPT-3, OPT, and BLOOM have demonstrated impressive capabilities in various applications. According to a recent study, there are two key ways to boost their performance: improving LLMs’ ability to follow prompts and creating procedures for prompt engineering. Fine-tuning LLMs alters… Read More »This AI Paper Proposes UPRISE: A Lightweight and Versatile Approach to Improve the Zero-Shot Performance of Different Large Language Models LLMs on Various Tasks Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

Difference Between Supervised vs Unsupervised Learning Narender Kumar Spark By {Examples}

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​ In this article, we’ll explore the difference between supervised vs unsupervised machine learning concepts. Find out which approach is right for your situation. Supervised and unsupervised learning are two fundamental approaches to machine learning, and the main difference between them is the availability of… Read More »Difference Between Supervised vs Unsupervised Learning Narender Kumar Spark By {Examples}