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Data Science News
Medium
4w
236
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Human Enough: Reverse Turing Tests and the Futility of Sounding Real
- AI involvement in content creation is pervasive and the distinction between AI-generated and human-written content has blurred into a spectrum that readers have accepted.
- The notion of pure human writing is becoming rare due to the widespread use of AI tools that assist in various aspects of writing, such as research, grammar corrections, and idea generation.
- Efforts to prove human authorship through deliberate imperfections like typos and casual language are becoming futile as AI learns to mimic these markers of humanity.
- Instead of focusing on proving humanness in writing, the emphasis should be on creating meaningful, impactful content that resonates with readers, regardless of whether AI assistance was utilized.
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Mit
4w
267
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New tool evaluates progress in reinforcement learning
- Eco-driving aims to improve the efficiency of autonomous vehicles by making small adjustments to minimize fuel consumption.
- Researchers, including Cathy Wu from MIT, study the impact of automated vehicles on mitigating emissions.
- The complex nature of optimizing eco-driving involves various factors such as speed, weather, road conditions, and traffic light timing.
- A benchmark system called 'IntersectionZoo' has been developed to evaluate solutions in eco-driving based on urban environments.
- Multi-agent deep reinforcement learning (DRL) methods are crucial in addressing optimization challenges in eco-driving.
- Existing benchmarks for evaluating deep reinforcement learning algorithms often lack the ability to generalize results across different scenarios.
- IntersectionZoo provides 1 million data-driven traffic scenarios to enhance progress in DRL generalizability.
- This benchmark contributes to evaluating algorithmic progress in eco-driving and other real-world applications.
- The focus is not only on city-scale eco-driving but on developing general-purpose DRL algorithms with broad applications.
- The goal is to provide IntersectionZoo as an openly available tool to support research in deep reinforcement learning.
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VentureBeat
4w
174
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Nvidia launches fully open source transcription AI model Parakeet-TDT-0.6B-V2 on Hugging Face
- Nvidia has launched the Parakeet-TDT-0.6B-v2, an open-source automatic speech recognition (ASR) model that can transcribe 60 minutes of audio in 1 second.
- Parakeet-TDT-0.6B-v2 boasts 600 million parameters and offers a Word Error Rate (WER) of just 6.05%, competing with top proprietary transcription models.
- The model is freely available under a Creative Commons CC-BY-4.0 license, supporting transcription services, voice assistants, and conversational AI platforms.
- Trained on the Granary dataset, the model shows strong generalization performance, supports punctuation, capitalization, and can be deployed using Nvidia’s NeMo toolkit.
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Medium
4w
20
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Beyond the Hype: A Practical Framework to Evaluate AI Opportunities
- A framework called the 7-Pillar Opportunity Scorecard has been introduced to evaluate AI opportunities effectively.
- The scorecard considers factors like clarity of the problem, alignment with strategy, stakeholder readiness, and AI fit, as well as speed, opportunity cost, and risk.
- The scorecard helps in making confident decisions about investing time and resources in AI ideas, ensuring a more grounded approach.
- By using the 7-Pillar Scorecard, teams can identify and prioritize AI opportunities, align conversations, and ensure promising concepts translate into actionable plans.
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Towards Data Science
4w
410
Fine-Tuning vLLMs for Document Understanding
- This article delves into the fine-tuning of VLMs like Qwen 2.5 VL 7B to optimize performance on tasks like extracting handwritten text.
- The main focus of the article is to fine-tune a VLM on a dataset to improve machine learning techniques and achieve efficient outcomes.
- Topics covered include motivation, advantages of VLMs, dataset overview, annotation, fine-tuning, SFT technical details, results, and plots.
- Motivation revolves around showcasing the process of fine-tuning VLMs for specific tasks like extracting handwritten text for valuable applications like climate research.
- Utilizing VLMs over traditional OCR engines is advantageous due to better performance in extracting text, handling handwriting variations, and providing specific instructions for data extraction.
- Fine-tuning involves a three-step process of prediction, reviewing and correcting mistakes, and retraining the model to improve performance using annotated data efficiently.
- Supervised fine-tuning (SFT) involves updating model weights to improve performance, considering challenges like similar-looking characters, image background noise, and annotation correctness.
- Hyperparameter search and balancing data sets are crucial for optimizing model parameters, and selecting layers for fine-tuning based on specific task requirements, such as OCR for handwritten text extraction.
- Results show that fine-tuning of Qwen model enhances performance over the base model, displayed through better performance on test sets.
- The article concludes with insights into a phenology dataset, the process of extracting handwritten text, model fine-tuning pipeline, results, and data visualization.
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Towards Data Science
4w
12
Website Feature Engineering at Scale: PySpark, Python & Snowflake
- The article discusses the challenge of identifying top candidates for a business proposal based on website quality scores, aiming to automate the process with machine learning pipelines.
- It covers technical implementations like fetching HTML content in Python using Snowflake dataset or CSV, and assigning a quality score using PySpark for feature extraction and processing.
- Legal and ethical considerations in web scraping are highlighted, emphasizing responsible practices, retention policies, and potential permissions from site owners.
- The article provides instructions on getting started with the project, including the folder structure, Snowflake data preparation, and usage of scripts for fetching website content.
- Advantages of using a comprehensive fetching script over a basic approach are outlined, showcasing benefits like asynchronous requests, rotating User-Agents, and efficient batching.
- Storing raw HTML in databases like Snowflake is recommended for scalability, as large-scale scraping and feature engineering are more reliable when done in a suitable data warehouse.
- The process of extracting features from HTML content using PySpark via Snowpark is detailed, including creating UDFs, applying feature extraction functions, and generating quality scores.
- Country-specific configurations are utilized for defining keywords and patterns that signal good merchant sites, making the feature extraction adaptable across different regions.
- The article concludes by emphasizing the website quality score as a key input for predictive models, showcasing its significance in ranking and recommending partners effectively for better business outcomes.
- A GitHub repository link is provided for the implementation details and a disclaimer clarifies that the data and scripts used are examples and not from real business scenarios.
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VentureBeat
4w
227
Image Credit: VentureBeat
Visa launches ‘Intelligent Commerce’ platform, letting AI agents swipe your card—safely, it says
- Visa has launched a new platform, Visa Intelligent Commerce, allowing AI agents to make purchases on behalf of users with strict security measures.
- AI assistants can recommend products and complete transactions through partnerships with leading AI companies like IBM, Microsoft, and others.
- Visa addresses a gap in AI commerce by enabling AI systems to transact, not just help with product discovery.
- Users control the AI agent transactions by setting parameters like spending limits and merchant categories while AI handles the details.
- Visa emphasizes security with tokenized digital credentials, identity verification, and real-time transaction monitoring.
- Consumers can delegate shopping tasks to AI agents while maintaining control over their preferences and limits.
- Visa aims to revolutionize online shopping by enabling AI agents to find, shop, and buy based on consumer preferences with Visa Intelligent Commerce.
- AI adoption is on the rise, and Visa's platform is seen as a critical step towards widespread AI commerce adoption.
- Visa's approach focuses on user control, privacy, and security, potentially revolutionizing how consumers shop online.
- Visa's initiative aims to simplify and scale transactions by integrating payment capabilities directly into existing AI platforms.
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Medium
4w
111
Unlocking the Future: AI Adoption in Africa Is Accelerating — But It Must Be Inclusive
- AI adoption in Africa is gaining momentum, with countries like Kenya and Nigeria hosting AI startups addressing various societal challenges.
- Governments in Africa, such as Rwanda and South Africa, are recognizing the importance of AI in their national strategies and initiatives.
- One of the key advantages of AI in Africa is its potential to provide impactful solutions tailored to local challenges using indigenous data.
- Despite progress, Africa faces challenges like limited infrastructure and data availability, requiring deeper collaboration and investment for sustainable AI development.
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Medium
4w
100
Image Credit: Medium
If you want to follow my writings on AI and emerging technologies, subscribe on www.joyceshen.com
- AI is proving to excel in various aspects of medicine, as highlighted by Bloomberg and Nature articles.
- Multiple AI-related advancements are being made, such as safeguarding training data, improving AI model safety testing, and debugging software, as reported by MIT, Financial Times, and TechCrunch.
- Companies like Amazon, SigIQ.ai, Zero Industrial, and HoneyHive are securing significant financing to further develop AI technologies in different sectors.
- Several startups, including Gallatin AI, Tracera, and Rondah AI, are utilizing AI for defense tech, ESG data automation, and receptionist solutions, raising substantial funds for their projects.
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Medium
4w
299
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I Was Stuck in ML Learning Hell. These 5 Free Books Pulled Me Out.
- Joining a machine learning community, the individual amassed numerous free resources but struggled to begin learning.
- Feeling overwhelmed by the vast amount of resources, the individual decided to delete all except the top 5 books for focused learning.
- The value of these 5 books depends on the individual's existing knowledge of machine learning basics.
- This story details the personal journey of the individual, emphasizing the importance of focused learning through selected resources.
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Analyticsindiamag
4w
415
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AI-Powered Talent: The Future is Now!
- AI is reshaping industries, prompting employees to develop AI literacy and upskill in emerging fields like prompt engineering and data analytics to thrive in the new era.
- Organizations must transform operating models to blend technology with workforce readiness, utilizing tools like AI, machine learning, and automation to enhance operational efficiency and customer satisfaction.
- India leads the charge in AI hiring globally, with impressive growth and a high concentration of AI talent, positioning the country ahead in the AI race.
- As AI adoption accelerates, there is a widening skill gap, with a significant percentage of workers interested in AI-related skills but limited access to training.
- Accenture's initiative, Accenture LearnVantage, focuses on empowering talent for the AI economy by providing essential technology learning and training to drive business value.
- Accenture LearnVantage offers practical, hands-on training in technology, data, and AI to help organizations reskill and upskill their workforce for the future.
- The platform partners with technology providers and learning platforms to offer generative AI content, industry-specific tech training, and cloud certifications for clients.
- The future belongs to those who blend data, tech, and creativity responsibly, emphasizing the need for skilled talent to leverage AI opportunities for productivity gains and human experiences.
- Organizations must bridge the skills gap, foster a culture of continuous learning, and enable employees to lead in the AI-powered future to stay competitive.
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Analyticsindiamag
4w
18
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Inside ABC Fitness’s Bold Move to Set Up its Mid-Size GCC in Hyderabad
- Mid-sized global capability centres (GCCs) in India are becoming key players in the global delivery ecosystem, with Hyderabad emerging as a promising location for mid-market GCCs.
- Over 480 mid-market GCCs are operational in India, employing over 2,10,000 professionals, with 35% being established in the last two years.
- Mid-market GCCs in Hyderabad are attracted by proactive government support, state-of-the-art infrastructure, and scalability opportunities.
- These companies are focusing on building specialized tech teams with a strong emphasis on AI/ML integration in their product strategies.
- Hyderabad's robust infrastructure has made it an attractive destination for mid-market GCCs, offering ready-to-move-in office spaces and inclusive work environments.
- ABC Fitness, a well-known brand in North America and Europe, has recently set up a GCC in Hyderabad, aiming to support product development and expand its customer base.
- ABC Fitness is leveraging platforms like Trainerize, Glofox, and Ignite for product development and is focusing on AI training for its workforce.
- The company has seen significant growth in India, with plans to expand its workforce, utilize deep AI technologies, and drive personalization in fitness.
- ABC Fitness offers comprehensive fitness and wellness solutions globally and is known for its innovation in payments and customer onboarding.
- By establishing its presence in India, ABC Fitness is not only aiming for global expansion but also focusing on next-gen digital and analytics capabilities.
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Medium
4w
374
Perfect — chalo main aapke liye "How Students Can Earn Money Online While Studying" pe ek Medium ke…
- Students can earn money online while studying by leveraging opportunities in the digital world.
- Smart ways for students to earn online income include freelancing, online tutoring, content creation on platforms like YouTube and Instagram, affiliate marketing, and selling digital products.
- Starting with freelancing to showcase skills, tutoring to teach what you know, and engaging in content creation and affiliate marketing can help students generate income.
- Selling notes or digital products online can also be a lucrative passive income stream for students looking to earn while studying.
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Educba
4w
103
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AI tools for your niche
- AI tools are transforming professionals' work by enhancing productivity, problem-solving, and creativity.
- Decision paralysis is common among social media managers, content creators, and marketers due to the constant influx of new AI tools.
- To find the right AI tools for your niche, start by identifying your specific needs and use cases.
- Ask key questions to pinpoint your priorities, such as tasks that consume the most time, repetitive tasks to automate, and industry-specific needs.
- Filter AI tools based on function rather than hype, focusing on solving specific problems and aligning with goals.
- Use trusted AI tool directories like AI Database to save time and find tools categorized by functions like lead generation and customer support.
- Check real-world use cases and reviews to verify the performance and worthiness of AI tools before committing.
- Test tools through free trials or demos to ensure integration, workflow improvement, and full understanding of features.
- Be adaptable and willing to switch tools as needed to stay ahead in the evolving AI landscape.
- Choosing the right AI tools strategically can save time and lead to significant workflow improvements in various professional niches.
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Analyticsindiamag
4w
379
Image Credit: Analyticsindiamag
China Using DeepSeek to Design Warplanes: Report
- DeepSeek AI, owned by High-Flyer in China, is being utilized for research and development of the country's advanced warplanes, as reported by the South China Morning Post.
- The Shenyang Aircraft Design Institute is using DeepSeek to develop new technology for warplanes, assisting in analyzing and solving complex problems.
- DeepSeek AI has gained popularity in various industries in China, with companies like BMW, Geely, Zeekr, and Dongfeng integrating it into their operations.
- DeepSeek plans to introduce the successor model, DeepSeek R2, soon, aiming to offer improved coding and multilingual reasoning capabilities, and has committed to open-sourcing its models and tools.
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