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Medium
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How to Effectively Train a Vision Transformer for Video-Based Person Re-Identification
- Video-based Person ReID task involves grouping images into tracklets, allowing the model to take advantage of motion patterns and contextual information across frames.
- The two most commonly used metrics in person ReID are Cumulative Matching Characteristics (CMC) curve and mean Average Precision (mAP).
- Pre-training ImageNet-21k is generally the best choice for ViT models.
- Overlapping patch embedding method captures fine-grained details and spatial continuity, thus it enhances feature representation.
- Two effective loss functions in ReID tasks are Cross-Entropy Loss and Triplet Loss, and their combination improves model performance.
- Training with only the first 10 blocks of the Vision Transformer (ViT) base architecture is often adopted to balance computational efficiency and model performance.
- Dividing video sequences into smaller chunks helps in capturing temporal dynamics while reducing computational complexity.
- Using overlapping patches, combining loss functions, and chunking help in achieving state-of-the-art results in video ReID tasks.
- In the next article, the author will provide a more comprehensive guide on fine-tuning and optimizing these approaches for real-world applications.
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Dev
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Insertion Sort
- Insertion Sort is an algorithm that builds the final sorted array one item at a time.
- It is simple and adaptable, making it efficient for small datasets.
- Shell Sort is another sorting algorithm that sorts elements at a specific interval and gradually reduces the interval until performing a final pass using insertion sort.
- Shell Sort performs better than Insertion Sort but is unstable.
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Dev
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Selection Sorts
- Selection Sort is a comparison-based algorithm that swaps the minimum element in place to achieve a time complexity of O(n^2) and space complexity of O(1).
- Steps to perform Selection Sort: Start with the first element as the minimum. Compare this element to the rest of the elements to find the smallest. Swap the smallest element with the first element. Move to the next element and repeat until the list is sorted.
- Heap Sort is a comparison-based sorting algorithm that uses a binary heap data structure. It is efficient and consistent.
- Steps to perform Heap Sort: Build a max heap from the input data. The largest element is swapped with the last element of the heap and removed from the heap. Heapify the root of the heap. Repeat the process until all elements are sorted.
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TechBullion
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5 ML-Solutions in HRTech: Boosting Hiring with NLP, Scoring Models, and AI Assistants
- Artificial Intelligence (AI) has the potential to transform traditional practices into dynamic, efficient processes in HRTech, with solutions like Natural Language Processing (NLP), scoring models, and AI assistants.
- According to a 2024 Gartner study, AI is already securing its place in the HR landscape as 38% of HR leaders are actively investigating or integrating AI solutions to meet organizational goals.
- AI can ensure that organizations have the best talent to drive success in an ever-changing business environment by enabling HR teams to implement time-efficient, resource-conscious, and inclusive hiring strategies.
- AI can address the deluge of resumes and applications by automating and significantly enhancing the job fitness process through smart talent matching and NLP.
- Predictive analytics and scoring models allow HR departments to anticipate which candidates are likely to thrive within their organization by analyzing patterns and deriving insights from historical data.
- AI-enhanced communication tools, such as chatbots, offer real-time, personalized interactions that keep candidates engaged throughout the recruitment process.
- Through algorithmic data analyses of hiring patterns, job description language, and candidate selection processes, AI can reveal hidden or unintentional biases, significantly benefiting workforce engagement, boost morale, and foster a healthier company culture.
- AI is revolutionizing onboarding, helping efficiently embed newcomers into the organizational fabric through personalized experiences that create customized continuous learning paths.
- To fully harness the potential of AI, HR leaders can take a strategic, measured approach to integration by clearly defining goals, piloting solutions in smaller teams, ensuring transparency in AI algorithms, regularly auditing systems, and integrating feedback mechanisms.
- Despite AI’s advancements, the irreplaceable role of human intuition and discretion in recruitment cannot be understated, ensuring that AI applications are not only data-driven but also empathetic and aligned with organizational values.
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Medium
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AI Mimic the Human Brain
- Neural networks used in AI mimic certain aspects of human cognition and process information in ways that resemble the neural pathways of the human brain.
- Researchers are exploring approaches to reduce AI's reliance on large datasets and enable one-shot learning, where AI learns from just one example.
- Reducing data dependency in AI can lead to more efficient and adaptable systems, closer to human cognitive flexibility.
- One-shot learning is a potential game changer as it addresses the need for massive datasets in AI functioning.
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Medium
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How to Reduce Python Runtime for Demanding Tasks
- Data scientists often face challenges with lengthy runtime of Python code when dealing with large datasets or complex ML/DL models.
- Algorithm-based solutions like dimensionality reduction, model optimization, and feature selection can improve code efficiency.
- Using a different programming language in certain cases can also help address the runtime challenge.
- Practical techniques for reducing Python runtime are discussed using the Online Retail dataset as an example.
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Medium
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Smart Glasses Technology
- Smart glasses technology combines traditional eyewear and digital tools, bringing information into your line of sight.
- Smart glasses have a small display system, sensors, and internet connectivity for notifications, image projection, and augmented reality.
- Users can view and interact with information without the need for a separate screen.
- Smart glasses technology has the potential for enhancing reality and offers various benefits.
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Analyticsindiamag
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Mistral Teases Release of Multimodal Models—Mistral Large 3 and Pixtral Large
- Mistral hinted at the release of its new Large 3 and Pixtral Large models
- The Mistral Large 2411 and Pixtral Large 2411 models were recently released on the Mistral console
- Mistral is expected to provide more information on these models on November 24, 2024
- Mistral's previous large model achieved record performance and cost efficiency, while Pixtral showcased strong multimodal capabilities
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Dev
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862. Shortest Subarray with Sum at Least K
- Given an integer array nums and an integer k, return the length of the shortest non-empty subarray of nums with a sum of at least k.
- The solution involves using a sliding window approach combined with prefix sums and a monotonic queue.
- The time complexity of the solution is O(n), where n is the length of the input array.
- The space complexity is O(n) due to the prefix sum array and the deque used to store indices.
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Medium
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SQL for Data Science in 2025: Essential Queries Every Data Professional must Know
- Structured Query Language (SQL) is a key skill in data science for accessing and manipulating data.
- This article explores the essential SQL queries every data professional should know.
- SQL allows users to create, read, update, and delete data from databases.
- Data scientists consider SQL mandatory for efficient data manipulation and handling in projects.
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Medium
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The Current Landscape of AI Chatbots
- Recent research has highlighted that AI chatbots do not mirror human decision-making processes as closely as expected.
- AI chatbots can exhibit both “inside view” and “outside view” characteristics.
- Studies have shown that AI chatbots, even advanced language models, can be fooled by nonsense sentences.
- AI chatbots are increasingly used in research to streamline processes such as peer-reviewing, navigating literature, and analyzing large databases.
- Generative AI chatbots on local government websites can provide flexible and adaptive responses but also pose risks such as generating misleading or inaccurate information.
- A systematic review of ChatGPT’s applications highlighted significant limitations in accuracy and reliability concerns, limitations in critical thinking, and ethical, legal, and privacy issues.
- Recent advancements in natural language processing (NLP) have enabled AI chatbots to generate more natural and contextually relevant responses.
- The adoption of AI technology poses significant challenges, particularly for developing countries.
- AI-driven technologies have ethical implications, including the potential to entrench social divides and exacerbate social inequality.
- Ensuring transparency in AI decision-making processes and developing methods to understand how complex machine learning models arrive at their conclusions is essential for building trust in AI systems.
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Medium
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Life for animals
- Animals are crucial for functions such as pollination, seed dispersal, and nutrient recycling.
- From an economic perspective, animals are foundational to sectors such as agriculture, fisheries, and tourism.
- Culturally, animals possess symbolic and spiritual importance in various traditions.
- Human activities such as deforestation, pollution, and illegal poaching pose serious threats to animal populations globally.
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Medium
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Understanding Adversarial Attacks in Natural Language Processing
- Adversarial attacks aim to deceive deep learning models by providing misleading or altered input data, exposing weaknesses in AI systems.
- In Natural Language Processing (NLP), adversarial attacks involve making subtle changes to text that confuse AI models while appearing normal to humans.
- These attacks can occur at the character level, word level, or sentence level, and can be combined for higher effectiveness.
- Generating imperceptible adversarial attacks in NLP is challenging due to the noticeable nature of text alterations.
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Medium
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The Silent Roads..
- The roads had an unusual charm, as if they were alive and breathing.
- Luke noticed something strange when he stopped at a gas station and the attendant seemed unusually interested in his destination.
- The road started to change, with darker asphalt and narrower lines. The surroundings became more immersive, with trees forming a tunnel-like canopy.
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Dev
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200
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Move Zeroes to the End of an Array: A Practical Guide
- The challenge is to transform an input array by moving all zeroes to the end while preserving the relative order of other elements.
- A naïve approach involves creating a new array by traversing the input array and appending zeroes to the end.
- An optimized solution uses a two-pointer technique to rearrange the array in-place by moving non-zero elements to the front.
- This approach is better because it operates in-place, is more efficient, and mimics practical scenarios where optimized solutions are necessary.
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