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Analyticsindiamag
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MachineHack Launches Datalyze: A Simulation-Based Gamified Learning Platform for Data Analytics
- MachineHack has launched Datalyze, a simulation-based gamified learning platform for data analytics.
- Datalyze aims to make data analytics accessible to a wider audience, including students and non-technical professionals.
- The platform offers a no-code interface to work with data and provides step-by-step guidance through the analytics process.
- Datalyze plans to introduce industry-specific learning tracks and enhance the platform with more features, such as collaboration and advanced predictive analytics tools.
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Medium
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How I Made $500 in a Week Selling NFTs
- A method to earn $500 in a week selling NFTs has been discovered.
- A product called 'How to Make Easy Money with Auto-Selling NFTs in Minutes' simplifies the process.
- By following a few steps, users can list NFTs for sale and earn profits automatically.
- The approach requires minimal effort and can provide impressive financial gains.
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Medium
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How to Add Slicers to Your Excel Reports
- Slicers are buttons that help you filter data in PivotTables and Excel tables.
- To add slicers to your Excel reports, follow these steps:
- Prepare your data by converting it into a table format.
- Insert a PivotTable and add fields to set up your report, then insert slicers to easily filter data.
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Medium
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The Haust Network is a groundbreaking Layer 2 (L2) blockchain platform that aims to revolutionize…
- Haust Network is a groundbreaking Layer 2 (L2) blockchain platform.
- Enhances user experience through account abstraction, simplifying interaction with dApps.
- Introduces native yield generation with the Haust Wallet, making DeFi more accessible.
- Offers a developer-friendly ecosystem with security measures and cost-efficiency.
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Medium
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How I Made My First $500 with NFTs in a Week
- Diving into the world of NFTs can be overwhelming, but there is a simple and effective way to make money with auto-selling NFTs.
- A platform provides a risk-free opportunity to explore NFTs with a free $150 Trail wallet balance or a starting investment as low as $100.
- The process of earning money with this platform involves purchasing an NFT and selling it instantly, with profits credited to your account.
- Many individuals have achieved significant earnings in a short time frame by utilizing this easy money auto-selling NFT system.
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Towards Data Science
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Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review
- OpenAI provides Deep Research as part of its subscription plans, offering varying levels of access and capabilities.
- Deep Research allows for multi-step research on the web and promises to reduce research time significantly.
- The process involves NLP for understanding questions, thorough information searches using diverse sources, and summarization using AI models.
- Transformers and Attention mechanisms prioritize key information, ensuring concise and credible summaries.
- Final reports are generated using NLG, providing easily readable content with diagrams or tables if requested.
- Deep Research aims to fulfill the systematic investigation aspect of research but faces challenges in accuracy and reliability.
- Similar functions are available from other companies like Perplexity AI and Google's Gemini, suggesting a growing trend in deep research AI capabilities.
- OpenAI acknowledges limitations such as hallucinated facts, false conclusions, and difficulty in distinguishing credible information.
- Despite current limitations, Deep Research is expected to evolve into a powerful research tool, especially for complex inquiries.
- For simpler queries, using standard models like GPT-4o may be more appropriate.
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Medium
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What makes DeepSeek Math solve IMO questions
- DeepSeek Math uses a rule-based reward system to solve IMO questions.
- The reward system includes accuracy rewards and format rewards.
- DeepSeek Math adopted Proximal Policy Optimization (PPO) and Group Relative Policy Optimization (GRPO).
- The model prevents catastrophic forgetting of the learned LLMs by bounding policy updates.
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Towards Data Science
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Practical SQL Puzzles That Will Level Up Your Skill
- The article presents SQL puzzles of increasing difficulty to help enhance SQL skills.
- The first puzzle involves calculating the average time tickets stay in a specific stage using SQL.
- It addresses edge cases like tickets created directly in a stage by utilizing the COALESCE function.
- The second challenge focuses on determining the most recent contract sequence of each employee without any overlaps.
- Window functions play a crucial role in solving this challenge effectively.
- The final puzzle involves finding the time of day with the highest number of concurrent events using a Sweep Line Algorithm.
- By transforming intervals into events, a simple and powerful SQL solution is achieved.
- Understanding window functions and event-based solutions can simplify complex SQL problems.
- The puzzles demonstrate practical applications of SQL concepts like window functions and event processing.
- The article encourages readers to explore window functions for simpler and more efficient query writing.
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Medium
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Chapter 8: Case Studies of Generative AI in Action
- Generative AI has been successfully implemented in various domains, leading to practical applications and benefits.
- AI-driven drug discovery has accelerated the process, with Insilico Medicine using generative adversarial networks to identify potential new drug candidates.
- Generative AI revolutionizes the film and animation industry, allowing filmmakers to generate realistic visual effects and AI models to compose music in various styles.
- Generative AI is used in customer service to create virtual avatars for personalized experiences and to generate targeted marketing campaigns.
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Towards Data Science
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Mastering 1:1s as a Data Scientist: From Status Updates to Career Growth
- 1:1 meetings with your manager should happen regularly, either weekly or biweekly, depending on the pace of your projects.
- Preparing for your 1:1 is critical - maintain a shared 1:1 document with your manager and update it every week before the meeting.
- Cover a wide range of topics during 1:1s, such as last week's accomplishments, ongoing projects, and other relevant topics.
- By establishing regular meetings, preparing thoughtful agendas, and covering meaningful topics, 1:1s can become valuable growth opportunities.
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VentureBeat
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Contextual AI’s new AI model crushes GPT-4o in accuracy — here’s why it matters
- Contextual AI has unveiled its grounded language model (GLM) which outperforms Google, Anthropic, and OpenAI in factual accuracy.
- The GLM achieved an 88% factuality score on the FACTS benchmark, surpassing competitors like Google's Gemini 2.0 Flash and OpenAI's GPT-4o.
- Contextual AI focuses on enterprise RAG applications where accuracy is crucial, unlike general-purpose models.
- The company stresses 'groundedness,' ensuring AI responses align strictly with provided information in the context, crucial for regulated industries.
- Contextual AI's platform, built on 'RAG 2.0,' optimizes all system components for improved performance.
- The platform supports multimodal content and complex visualizations, bridging the gap between unstructured and structured data.
- Contextual AI plans to release a specialized re-ranker component and enhance document-understanding capabilities post GLM launch.
- The company, founded by Kiela and Singh, aims to help enterprises realize fruitful AI investments with tailored solutions.
- Contextual AI serves clients like HSBC, Qualcomm, and the Economist, offering specialized AI solutions for varied industry challenges.
- The company's grounded language model is designed to prioritize accuracy over creativity, emphasizing trust and reliability in enterprise applications.
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VentureBeat
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Cohere’s first vision model Aya Vision is here with broad, multilingual understanding and open weights — but there’s a catch
- Canadian AI startup Cohere, targeted at enterprises, releases its first vision model Aya Vision, supporting inputs in 23 languages and integrating language and vision capabilities.
- Aya Vision enhances AI's image interpretation, text generation, and multilingual translation, aiding organizations operating globally with diverse language preferences.
- Available under CC BY-NC 4.0 license, Aya Vision is accessible on Cohere's website, Hugging Face, Kaggle, and WhatsApp.
- Aya Vision enables image caption generation, visual question answering, and multilingual text-based tasks across a range of languages from English and Spanish to Arabic and Chinese.
- Despite its non-commercial licensing, Aya Vision excels in performance efficiency compared to larger models, achieving high win rates in multilingual image understanding tasks.
- Innovations like synthetic annotations, multilingual data scaling, and multimodal model merging contribute to Aya Vision's superior processing accuracy and multilingual capabilities.
- Usage of Aya Vision is suitable for AI researchers, data scientists, and enterprises for internal research, prototyping, benchmarking, and exploring AI capabilities before deployment.
- Cohere's Aya Vision represents a progressive move towards inclusive and accessible multilingual AI research, challenging larger closed-source models in the field.
- Released as part of the wider Aya initiative by Cohere, Aya Vision aims to support multilingual AI advancements with open weights available for global researchers and developers.
- Cohere's commitment to open science extends to the AyaVisionBenchmark, an evaluation set for multilingual vision, emphasizing the importance of rigorous assessment in multimodal AI development.
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VentureBeat
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Top AI leaders are shaping VB Transform 2025 — here’s what’s next for enterprise AI
- Enterprise AI leaders are facing new challenges in 2025.
- VB Transform 2025 features a committee of AI executives shaping the agenda.
- Key discussion topics include agentic AI, data quality, ROI of AI, changing economics, and open source.
- Attendees will gain real-world strategies for implementing AI initiatives at scale.
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Analyticsindiamag
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China’s Zuchongzhi 3.0 Quantum Processor ‘Outpaces’ Google Willow by Million Times
- Chinese researchers from the University of Science and Technology of China (USTC) have unveiled the Zuchongzhi 3.0, a superconducting quantum processor with 105 qubits, surpassing Google Willow by a million times.
- The Zuchongzhi 3.0 operates quadrillion times faster than the world's fastest supercomputer and achieves results that would take classical supercomputers over 6.4 billion years to replicate.
- The processor showcases advancements in coherence time, gate fidelities, and readout accuracy, with a coherence time of 72 microseconds, single-qubit gate fidelity of 99.90%, two-qubit gate fidelity of 99.62%, and readout fidelity of 99.13%.
- The research team plans to expand integration capabilities and has achieved previous successes with the Zuchongzhi-2 and Jiuzhang photonic systems.
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Medium
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Transfer Learning 2025: Accelerating AI Innovation & Healthcare Breakthroughs
- Transfer Learning 2025: Accelerating AI Innovation & Healthcare Breakthroughs
- 2025 marks a new chapter in AI with the promise of Transfer Learning.
- Transfer Learning enables AI to learn from past interactions and predict future behavior.
- It cuts the time and resources needed for new AI tasks, accelerating innovation and healthcare breakthroughs.
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