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Data Science News
Medium
2w
64
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Upskilling in Generative AI: A Data Scientist’s Comprehensive Roadmap to Building Compound Systems
- Generative AI offers an opportunity to solve challenges once deemed impossible. Building AI agents that leverage pre-trained models and integrate custom ML models to solve complex problems; we can design systems that transcend traditional capabilities.
- Generative AI should not replace traditional ML methods but rather enhance them, enabling the creation of compound AI systems.
- Across the 10-part series, it explores foundational topics like neural networks and transformers while diving into cutting-edge trends such as retrieval-augmented generation (RAG) workflows and agentic AI.
- A multi-paradigm system combines diverse methodologies (statistical models, traditional machine learning, modern ML models, algorithms, and symbolic reasoning) into a cohesive solution.
- Generative AI refers to deep neural networks capable of creating new content like text, images, audio, and beyond. Utilizing generative AI isn’t just a technological innovation – it’s a paradigm shift for data scientists, enabling the creation of powerful, multi-paradigm systems.
- The series provides a structured roadmap to provide clarity and actionable insights for data scientists to navigate 10 critical areas of modern generative AI. From working with APIs to Ethics in AI.
- Fine-tuning customizes pre-trained models using domain-specific data, while RAG enhances generative outputs by integrating external knowledge dynamically.
- Agentic AI systems are grounded in theoretical models like the Rational Agent framework and BDI architecture, leveraging techniques such as goal decomposition, memory management, and task orchestration to enable robust multi-agent workflows.
- Deploying generative AI systems involves transforming conceptual models into production-ready applications by integrating scalable infrastructure, secure workflows, and advanced optimization techniques.
- Ethics in generative AI addresses critical concerns like data bias, transparency, and accountability, ensuring that systems align with societal values.
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Educba
2w
60
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CocoFinder Review
- CocoFinder is a digital tool that provides comprehensive public information from billions of records from government agencies, court documents, and census data.
- CocoFinder offers an all-in-one functionality platform that includes people search, phone lookup, background checks, address lookup, and email lookup tools.
- Users can use CocoFinder to reconnect with long-lost friends or family members, identify unknown callers, ensure safety and credibility when meeting new acquaintances, locate individuals based on their last known address and trace digital footprints.
- CocoFinder gathers publicly available data from trusted sources such as government records, voter registrations, court documents, and property records.
- CocoFinder stands out because of its intuitive design, speed, and efficiency, focusing on protecting users' privacy from compromising personal information.
- Real-life applications of CocoFinder include reconnecting with loved ones, enhancing safety in new relationships, conducting business research, and avoiding scams and unwanted calls.
- The limitations of CocoFinder include being unsuitable for employment screening or tenant verification because it does not adhere to the Fair Credit Reporting Act (FCRA) rules and the need for users to handle sensitive data responsibly and ethically.
- Overall, CocoFinder provides a safe and efficient way to access accurate information, serving as a versatile and efficient tool for personal and professional relationships.
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VentureBeat
2w
381
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Pin thinks AI can fix recruitment’s biggest problems — and it has the numbers to prove it
- Pin, an AI-powered recruitment platform, has raised $3 million in seed funding.
- The platform uses AI models to match candidates to job requirements, reducing time-to-hire.
- Pin analyzes over 100 million profiles simultaneously, achieving a 70% candidate acceptance rate.
- The funding will be used to expand AI capabilities and launch new features.
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Analyticsindiamag
2w
1.1k
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OpenAI Teases ‘Super Secret AGI’
- OpenAI teases 'Super Secret AGI' during a demonstration of ChatGPT integration into iPhone and Mac AI experience.
- The 'Super Secret AGI' calendar event on the demo iPhone hints at OpenAI's vision to achieve artificial general intelligence.
- OpenAI's recent release of the video generation model, Sora, provides a glimpse into AGI capabilities.
- Apple releases iOS/iPadOS 18.2 and macOS Sequoia updates featuring enhanced Apple Intelligence powered by ChatGPT.
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Analyticsindiamag
2w
1.9k
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Automation Is Not for Everyone
- Automation may not be a universal solution, according to Hari Parthasarathi, application engineering leader at 3M.
- Assessing automation's relevance on a case-by-case basis is important to address genuine needs.
- India's manufacturing ecosystem presents unique challenges for automation, prioritizing cost-effective solutions.
- 3M focuses on gradual and strategic adoption of automation, complementing human skills.
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Analyticsindiamag
2w
240
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Indian AI Startup Haber Raises $44M For International Expansion
- Pune-based AI startup Haber has raised $44 million in a Series C funding round led by Creaegis, BEENEXT, and Accel.
- The startup focuses on real-time, AI-powered automation to optimize plant efficiency and enhance output.
- The funding will be used for international expansion, with a primary focus on America.
- Haber's AI and IoT-based service converts data into actionable intelligence, improving performance and reducing costs for its customers.
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Analyticsindiamag
2w
197
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Tata Communications Unveils Kaleyra AI for Building Conversational AI Agents
- Tata Communications has launched Kaleyra AI, an AI portfolio suite of tools for building conversational AI agents.
- Kaleyra AI offers streamlined, personalised, and engaging solutions, integrating seamlessly with communication channels and live agent interfaces.
- Key features include personalised templates and message variants for WhatsApp, intuitive data query reports, and a no-code builder for interactive assistants.
- The platform aims to improve customer support and marketing efforts by enhancing intelligent and immersive interactions.
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Analyticsindiamag
2w
171
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An AI Agent Now Costs More Than a Junior Developer In India
- Devin, an end-to-end AI-enabled software development tool built by Cognition Labs, costs $500 a month and aims to replace junior programmers or developers in organisations.
- Cognition Labs puts no limit on the number of seats when using Devin within a team.
- Devin is said to be impactful in Cognition Labs’ tech stack as it became the number one contributor in many of its internal tools and front-end repositories.
- Devin may also help relieve employees from time-intensive and repetitive tasks, thereby giving them more time to focus on more important matters.
- Nubank claims Devin was able to cut the timeline of a project short from 1.5 years to just two months.
- While Devin does the magic, there might not be a lot of opportunities to supervise or add your input during the process. Users need to have trust and confidence that it will be able to accomplish the task without causing any trouble.
- All things considered, will Indian IT embrace a tool like Devin inside its organisation? It seems unlikely.
- If Devin can truly transform software development, $500 seems like a small price to pay.
- Its abilities are still limited as it requires some back-and-forth and occasional intervention by developers once in a while.
- Devin does have limitations, and it is questionable whether it will provide a solution for the current practices in various organisations.
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Analyticsindiamag
2w
184
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Palantir’s New Cohort to Drive Manufacturing Innovations at ‘Warp Speed’
- Palantir has announced a new cohort of companies that will use its tool Warp Speed to drive manufacturing innovations.
- Companies like Anduril Industries, L3Harris, Panasonic Energy of North America (PENA), and Shield AI are part of the cohort.
- Warp Speed is a manufacturing operating system that combines multiple production tools and focuses on adapting to companies' processes.
- Member companies in the cohort have experienced efficiency gains and accelerated transformation in their manufacturing operations.
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Medium
2w
218
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Why I Ditched spaCy in Favor of LLMs for Natural Language Processing
- Convention keyword-based NLP solutions like spaCy are difficult to keep up when organizational needs change and inquiries become more complex which gave the rise to Large Language Models (LLMs).
- Recent breakthroughs in LLMs like Qwen, OpenAI, and LLaMA variants have given us a new toolkit.
- LLMs have extraordinary capacity for context, ambiguity, and nuance understanding.
- LLMs give freedom to more dynamically interpret intent and allow us to make inferences regarding semantic meaning.
- LLMs provide predictability in output using language modeling, training, finetuning, and prompt engineering techniques.
- Creating precise and modular prompts, the higher accuracy and improvement in adaptability in intent detection system are achievable.
- There was a significant improvement over the previous attempts using spaCy, with a 70% accuracy in the first LLM-based prototype.
- Intent detection is not done by a single prompt; instead, an agentic workflow breaks the logic into multiple steps to debug and improve incrementally.
- The intent detection module is the linchpin in the pipeline, without accurate source selection, the rest of the pipeline might fetch irrelevant or incomplete data.
- Shifting from spaCy to LLM-based intent detection is a game-changer, resulting in a smoother, more accurate, and scalable approach to intent detection.
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Medium
2w
8
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The Dangers of AI: What We Need to Be Concerned About
- One of the most immediate concerns surrounding AI is its potential to displace millions of jobs.
- As AI takes over tasks traditionally performed by people, this shift in the labor market could lead to increased economic inequality and social unrest.
- This raises crucial questions about ethics, accountability, and regulation in AI development.
- AI systems collect and analyze vast quantities of data to predict our behaviors, preferences, and even emotions.
- However, it also puts our privacy at risk through hacking and misuse.
- AI systems can be biased if they are trained on data that reflects human biases.
- AI has the potential to be weaponized, leading to deadly consequences if left unchecked.
- As AI becomes increasingly integrated into our lives, we must address the ethical dilemmas it creates.
- To ensure that AI serves humanity positively, we must work to address the social and economic impacts of automation.
- The future of AI is in our hands, and it’s up to us to navigate its development with caution and responsibility.
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Educba
2w
68
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AI in Online Education
- AI in online education is revolutionizing how people learn online, making it smarter, faster, and more enjoyable.
- AI-powered course creation tools simplify the process by offering content suggestions, automated video summaries, and language simplification.
- AI enables personalized learning paths by analyzing progress, identifying strengths and weaknesses, and adapting lessons accordingly.
- AI delivers instant feedback, automates grading, and suggests resources for improvement, making assessments smarter.
- AI tools like Jasper or Copy.ai can quickly update course material, ensuring learners have access to the latest information.
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Analyticsindiamag
2w
85
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Starlark is Basically Python, But Not Really Python, and That’s Fine
- Starlark is a hermetic subset of Python that has gained prominence in build systems like Bazel.
- Starlark offers the familiarity of Python syntax, making it easy to adopt, but its limitations make it a polarizing choice.
- It is designed for embedding within applications and excels in configuration and scripting tasks for build systems.
- While praised for its simplicity and safety, Starlark's lack of modern Python features and limited error handling can hinder managing complexity.
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Medium
2w
347
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Advantage of computer
- Computers provide various advantages in different areas such as access to information and learning materials.
- Computers facilitate communication through email, video conferencing, and social networks.
- Computers aid in creative activities such as graphic design, video creation, and music production.
- Computers are indispensable for scientific research and development in various fields.
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Analyticsindiamag
2w
850
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Mahindra Group Appoints Devendra Sharnagat as Senior VP of AI Division
- Mahindra Group has appointed Devendra Sharnagat as the Senior Vice President of its AI Division.
- Sharnagat will lead the centralised data and AI expertise pool and drive AI initiatives across the group’s companies.
- He brings extensive experience in data-driven decision-making from his previous roles in companies like HDFC Bank.
- Mahindra Group aims to integrate AI into its various business operations by centralising its AI efforts.
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