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Data Science News
Medium
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LLMs from the Inside 4: The Transformer Block
- In Part 1, we explored tokenizers like Byte-Pair Encoding and WordPiece, which help convert text into a sequence of integers for language models.
- In Part 2, we discussed different methods of numerically representing the meaning of words using word embeddings, which function like lookup tables.
- In Part 3, we learned about positional encoding, which adds contextual information to the language models by treating the order of words as absolute.
- This article is part of a series that explains the internal components of large language models.
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Towards Data Science
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NumExpr: The “Faster than Numpy” Library Most Data Scientists Have Never Used
- NumExpr is a library that claims to be faster than NumPy for complex numerical calculations, offering up to 15 times faster performance in some cases.
- NumExpr is designed to accelerate expressions operating on arrays, using less memory compared to performing similar calculations in Python with other numerical libraries like NumPy.
- Due to its multithreaded nature, NumExpr can efficiently utilize all CPU cores, resulting in substantial performance scaling in comparison to NumPy.
- Users can create a separate Python environment for NumExpr development and install the necessary software using tools like conda before starting coding.
- A comparison between NumPy and NumExpr performance includes examples like array addition calculations, Monte Carlo simulation for estimating Pi, and implementing a Sobel image filter.
- In various benchmarks, NumExpr showcased notable speed improvements, such as a 6 times faster runtime in array addition calculations and close to double the speed in some complex applications like Sobel filter implementation.
- While NumExpr did not always reach the claimed 15x speed increase over NumPy, it demonstrated significant performance gains in tasks such as Fourier series approximation where it showed a 5 times improvement.
- Overall, NumExpr presents a viable option for data scientists and developers looking to optimize numerical computations and extract higher performance levels compared to traditional libraries like NumPy.
- Users interested in exploring the capabilities of NumExpr further can refer to the library's GitHub page for more information on its functionalities and potential use cases.
- NumExpr offers a compelling option for those striving to maximize performance in numerical computations and may surprise users with its speed improvements over NumPy in various scenarios.
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Towards Data Science
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When OpenAI Isn’t Always the Answer: Enterprise Risks Behind Wrapper-Based AI Agents
- Trust and responsible handling of sensitive data are crucial when building with AI, as highlighted by the risks associated with wrapper-based AI agents.
- The ease of developing AI tools using platforms like OpenAI can overshadow considerations of trust, privacy, and data security.
- Terms like 'AI Agents' often refer to wrapper-based systems around large language models (LLMs), but not all are built with adequate attention to security and compliance.
- Concerns around data leakage, compliance violations, lack of transparency, and security oversights arise when integrating AI agents without thorough evaluation.
- Enterprise adoption of AI agents necessitates a deep understanding of data governance, trust boundaries, and accountability to ensure responsible AI usage.
- The article warns against blind reliance on OpenAI and emphasizes the importance of evaluating the suitability of smaller, local models or rule-based logic for specific use cases.
- Real enterprise AI should prioritize trust, transparency, and control, with platforms like Salesforce's Einstein Studio and IBM's Watson offering solutions that empower enterprises to maintain control over their AI models.
- Before deploying AI agents, organizations need to consider factors such as model control, data handling, compliance, and auditability to mitigate risks associated with blind trust in AI technology.
- The biggest risk in AI adoption lies in blind trust rather than flawed technology, emphasizing the critical importance of responsible AI development and deployment.
- The author, Ellen, advocates for thoughtful and secure AI implementation, drawing attention to the significance of data governance and trust in the age of AI.
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Futurity
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Algorithm could help solve hearing aids’ ‘cocktail party problem’
- A brain-inspired algorithm could help hearing aids eliminate interference and isolate single talkers in noisy environments.
- The 'cocktail party problem' refers to difficulties in focusing on specific conversations, especially for individuals with hearing loss.
- Boston University researchers developed an algorithm that significantly improved word recognition accuracy in testing.
- An estimated 50 million Americans have hearing loss, with a projected 2.5 billion globally by 2050.
- The new algorithm, known as BOSSA, mimics the brain's ability to filter sound sources based on spatial cues.
- This breakthrough could revolutionize the hearing aid market, especially with Apple entering with clinical-grade hearing aid functions.
- The algorithm's inspiration comes from the brain’s inhibitory neurons that help suppress unwanted sounds.
- Initial behavioral studies suggest significant benefits for individuals with hearing loss in noisy environments.
- The algorithm may have broader applications beyond hearing loss, potentially aiding individuals with ADHD or autism.
- Research support for this work came from the National Institutes of Health, the National Science Foundation, and the Demant Foundation.
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Towards Data Science
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Adding Training Noise To Improve Detections In Transformers
- Modern vision transformers are utilizing noise addition to enhance the performance of object detection tasks.
- Early vision transformers like DETR used learned decoder queries for object detection, but had slow convergence.
- Recent transformer architectures have implemented deformable aggregation and spatial anchors for improved detection results.
- The Hungarian algorithm is used for prediction to ground truth matching in transformers, leading to unstable training objectives.
- DN-DETR addresses the unstable matching issue by introducing noise to ground truth boxes, improving model stability and convergence speed.
- DINO enhances denoising by incorporating contrastive learning, improving detection performance even further.
- Temporal models like Sparse4Dv3 leverage denoising and temporal denoising groups for object tracking across frames.
- Denoising in vision transformers accelerates convergence and boosts detection results, especially with learnable anchors.
- The use of denoising raises questions about the necessity of learnable anchors and the impact on models with non-learnable anchors.
- While denoising improves stability in gradient descent, the relevance in models with spatially constrained queries remains a topic for further exploration.
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Towards Data Science
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Hands-on Multi Agent LLM Restaurant Simulation, with Python and OpenAI
- OpenAI released a 34-page PDF guide explaining LLM Agents, which are systems that autonomously perform tasks.
- LLM Agents are designed to create actionable outputs in a system, integrating well with various functions and tools.
- Multiple LLM Agents can be integrated in a cascading manner to enhance the overall pipeline quality.
- The article illustrates the concept using a restaurant simulation, incorporating customer, waiter, and entertainment agents.
- A system design for the LLM Agent restaurant is presented, followed by an agent-free restaurant implementation.
- The implementation includes simulating customer arrival, order processing, cooking, departures, and seating via a queue.
- The article then progresses to incorporating LLM Agents into the restaurant simulation for interactive customer interactions.
- A GUI is implemented to display customer interactions with waiter and entertainment agents, showcasing AI-enhanced operations.
- The author emphasizes the importance of using AI technology responsibly and highlights potential applications in assisting queued customers and restaurant simulations.
- The article concludes with the author's invitation to connect and discusses the potential benefits and challenges of AI in the hospitality industry.
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Inkbotdesign
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Why SaaS Startups Are Investing in UX-Led SEO
- UX-led SEO is essential for SaaS startups in 2025, as it aligns user experience and search optimization to drive conversions.
- Aligning UX and SEO leads to increased discoverability, engagement, and conversions for SaaS products.
- Good UX not only reduces churn but also helps in better user retention by creating intuitive onboarding experiences and simplified navigation.
- Focusing solely on technical SEO and content without considering usability may attract traffic that does not convert.
- UX-led SEO involves structuring content around user journeys, optimizing CTAs based on user intent, and incorporating micro-interactions for enhanced user experience.
- Successful SaaS companies embed UX in their search strategy, conduct real-time feedback loops through A/B testing, and avoid common UX pitfalls that can hinder SEO.
- Prioritizing user journeys, conducting usability testing, and analyzing behavioral insights are crucial elements of building a UX-led SEO strategy for SaaS startups.
- Implementing UX-led SEO not only improves user experience but also boosts revenue by reducing bounce rates, increasing conversions, and enhancing user trust.
- The ROI of UX-led SEO surpasses that of paid ads in the long term by focusing on user-centric design and optimizing for real engagement.
- UX-led SEO does not necessarily require a complete redesign; small but impactful changes to key pages can lead to significant improvements in user experience and conversions.
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Analyticsindiamag
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Wipro Selected by Vorwerk to Lead Major IT Transformation Over Five-Year Engagement
- Wipro has been chosen by Vorwerk to manage and transform its IT landscape over the next five years.
- Wipro will modernise Vorwerk's IT infrastructure using its AI-powered infrastructure operations solution.
- The programme aims to consolidate Vorwerk's business applications, infrastructure, and cybersecurity operations onto a unified monitoring platform.
- As part of the engagement, Wipro will enhance customer engagement strategies, standardise the company's product portfolio, and develop a support portal for end users.
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Analyticsindiamag
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YouTube India Appoints Gunjan Soni as Country Managing Director
- YouTube has appointed Gunjan Soni as the country managing director for India.
- Soni brings over 20 years of leadership experience and has previously held key positions at ZALORA, Star India, Myntra, and McKinsey & Company.
- Soni's appointment reflects YouTube's commitment to empowering creators, connecting users, and contributing to India's digital growth.
- Soni will be based in Mumbai and is expected to lead YouTube's growth and strategic initiatives in one of its largest global markets.
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Dev
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Making Combinatory: Map Search Algorithms
- The article discusses the development of the Map Search Algorithm for the Combinatory video game, which involves swiping tiles to combine them using mathematical operations.
- The provided function in the article's open-source paths.kt file details the algorithm for finding all possible values on a grid by moving in different directions and applying operations.
- The algorithm utilizes coroutines for parallel processing and significantly decreases time complexity by pruning duplicate results.
- The Combinatory map data is represented as a 2D Number Array, with 0 representing empty tiles, and the algorithm allows for shifts to decimal values based on operations.
- The function has requirements such as non-empty Array rows/columns, valid starting coordinates, and a square grid structure.
- Implementation of the algorithm includes the use of asynchronous channels, a visited set for coordinate tracking, and a final set for returning unique values.
- The exploreValue function within the algorithm makes steps in random directions based on current values, ensuring recursive path exploration until options are exhausted.
- The algorithm integrates Kotlin's Suspend functions to handle multiple paths concurrently and efficiently calculate all possible values on the grid.
- Although designed for Combinatory, this algorithm serves as a performance example for implementing map search in Kotlin with 2D Arrays, applicable for various program mapping scenarios.
- In conclusion, the Map Search Algorithm in the Combinatory Video Game provides a valuable framework for analyzing map data and can be adapted for usage in other applications.
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Siliconangle
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Three insights you may have missed from theCUBE’s coverage of Dell’s ‘Is Your IT Infrastructure Ready for the Age of AI?’ event
- Artificial intelligence adoption is accelerating, emphasizing the importance of a modern enterprise AI infrastructure and data foundation for success.
- Dell's Arthur Lewis highlights the significance of data in enterprise AI, leading to a shift in infrastructure that supports evolving models and algorithms in real time.
- Disaggregated architecture is becoming essential in enterprise AI infrastructure to optimize flexibility and performance across compute and storage, as explained by Dell's Travis Vigil.
- Dell's collaboration with AMD and Intel showcases a focus on flexible chip designs to cater to diverse AI models, data center sizes, and performance requirements.
- Cyber resiliency is prioritized by Dell as a critical element for trusted and scalable AI infrastructure, embedding security measures into core operations to ensure data protection.
- Secure infrastructure is vital for the trust and evolution of AI, as emphasized by Dell's Rob Emsley and Arthur Lewis during the event.
- Modernizing on-premises data centers to support high-density compute and secure AI infrastructure is essential for enterprises to effectively harness AI capabilities.
- TheCUBE's coverage of Dell's event provides insights on key strategies and technologies driving enterprise AI infrastructure success, including chip diversity, cyber resiliency, and data center modernization.
- Dell's focus on decoupling compute and storage enables customers to align product cycles and budget timelines without being restricted to a one-size-fits-all model, enhancing infrastructure efficiency.
- AI workloads demand a new approach to infrastructure, requiring enterprises to rethink their technology stack and adapt to the changing landscape of data-driven AI models.
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Medium
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10 Essential Skills and Practices Every Beginner Must Master to Excel in Python or JavaScript
- Master the Fundamentals of Programming, including variables and data types, conditional statements, loops, functions, and error handling.
- Learn and Practice Problem-Solving Techniques by solving coding problems daily, focusing on algorithm design and optimization.
- Understand Data Structures and Algorithms (DSA) like arrays, strings, linked lists, and sorting and searching algorithms.
- Develop the Habit of Writing Clean and Readable Code by using meaningful variable names, small modular functions, comments, and following coding style guides.
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Medium
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Best Programming Languages to Learn in 2025: Features, Benefits, and Career Opportunities
- Python: Simple syntax, versatile across multiple domains, high demand in industries.
- JavaScript: Essential for front-end web development, powerful with frameworks like React and Angular.
- Go (Golang): Developed by Google, ideal for cloud computing and server-side programming.
- Kotlin: Modern alternative to Java for Android development, supported by Google.
- Rust: Focus on memory safety and performance, gaining popularity in cybersecurity and game development.
- SQL: Specialized language for managing and querying databases, high demand in data-driven industries.
- Investing time in learning these languages can lead to well-paid careers and diverse opportunities.
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Medium
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Personalization Is Broken: Why AI-Powered Marketing Still Feels Creepy
- Personalization was meant to be intuitive, helpful, and delightful but often feels invasive and irrelevant.
- Many marketers have focused on behavioral data without context, consent, or common sense, resulting in empathy-poor personalization.
- AI-powered personalization lacks understanding of context, tone, and timing, leading to off-putting experiences for users.
- To improve personalization, marketing teams should focus on context, use zero-party data, involve human review, and build digital literacy.
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Educba
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AI Agents for Business Software
- Businesses are moving towards using AI agents for software development within intelligent digital workspaces, offering the ability to customize software on-demand.
- AI agents are autonomous, intelligent systems that can understand goals, make decisions, and execute complex tasks without human intervention.
- Platforms like Moxby use machine learning, natural language processing, and logical reasoning to create customized workflows in real-time without the need for manual coding.
- AI agents go beyond traditional software by not only assisting users but also automating tasks like lead generation, email writing, and scheduling within a unified workspace.
- With AI agents, businesses can break free from the limitations of traditional SaaS platforms by creating tailor-made software that fits their specific needs without the need for extensive customization.
- The collaboration between humans and AI agents like Moxby redefines teamwork in modern workspaces, where AI complements human creativity by handling repetitive tasks at scale.
- Moxby stands out in the field of AI agents by generating applications and workflows in plain English, offering a unified workspace, adaptive intelligence, and total control over software systems.
- The future of business software lies in building dynamic, custom solutions with AI agents rather than relying on pre-existing applications, offering true autonomy and tailored solutions.
- Challenges like adoption barriers and trust issues exist, but platforms like Moxby showcase the benefits of personalized, AI-driven solutions in transforming business operations.
- To explore the potential of AI agents for business software and experience true autonomy in software development, interested individuals can join the waitlist on Moxby.com.
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