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- AI Meets The Mainframe: Inside IBM's Bold Z17 Bet
- IBM z17: An AI-Native Mainframe for the Modern Enterprise At its core, the IBM z17 boasts the Telum II processor, a second-generation chip featuring eight 5.5 GHz cores, 360MB of on-chip cache, and an integrated AI accelerator. This powerful processo
- AI 310 2025-04-09 11:19:14
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- Top 6 LLMs that Support Function Calling for AI Agents
- Unlocking Real-Time AI Power: A Deep Dive into Function Calling in LLMs OpenAI's GPT-4 and similar Large Language Models (LLMs) are revolutionizing AI by providing accurate, context-rich responses across diverse fields. A key advancement is the sign
- AI 749 2025-04-09 11:05:28
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- Python in Android: Bringing Python Power to Mobile Apps
- Experienced Python developers often find themselves drawn to mobile app development but hesitant about learning Java or Kotlin. Fortunately, powerful frameworks and tools now allow you to leverage your existing Python skills to build Android apps. T
- AI 485 2025-04-09 11:00:17
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- Method Chaining in Python - Analytics Vidhya
- Introduction Python's method chaining elegantly links multiple object methods, streamlining code execution within a single line. This approach enhances readability, reduces code length, and provides a natural flow for sequential operations on data or
- AI 998 2025-04-09 10:59:17
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- LLMs For Healthcare: Exploring the Current Scenario - Analytics Vidhya
- Introduction Large language models (LLMs) are revolutionizing healthcare. As this technology gains traction, health-tech companies are actively integrating generative AI (GenAI) into clinical applications. Medical LLMs are improving clinical proces
- AI 473 2025-04-09 10:55:17
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- Top 6 Books on RAG
- Unlocking the Power of Retrieval-Augmented Generation (RAG): A Guide to Six Essential Books Retrieval-Augmented Generation (RAG) is transforming how businesses leverage data to create intelligent AI solutions. This article highlights six leading boo
- AI 673 2025-04-09 10:48:11
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- Top 4 Agentic AI Design Patterns
- The autonomous learning ability of AI models: learning methods beyond programming languages Learning is a continuous process, both for humans and AI models. However, a common question is whether these AI models can learn independently like humans? According to the latest developments – they can. To better understand this, let's go back to college, when C, Java, and Python were the main programming languages we needed to master in computer science. Learning these languages requires understanding of grammar, semantics, practical applications, and problem solving. Therefore, in order to master these languages, we conducted continuous practice (or could say trained). In addition, we have learned a lot from classmates and professors, right? Similarly, just as human
- AI 1003 2025-04-09 10:43:10
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- Opik by Comet: Evaluating and Monitoring LLM & RAG Applications
- Opik: Streamlining LLM & RAG Application Evaluation and Monitoring The rapid advancement of AI, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) applications, necessitates robust evaluation and monitoring to
- AI 392 2025-04-09 10:41:09
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- 5 Real-Life Uses of AI Agents for Day-to-Day Work
- AI Agents: The Next GenAI Revolution and 5 Real-World Applications AI agents are poised to revolutionize the Generative AI (GenAI) landscape. Their ability to leverage AI for reasoning and decision-making allows for true automation of routine tasks.
- AI 395 2025-04-09 10:23:12
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- Top 5 AI Agent Projects To Try
- AI agents are revolutionizing modern applications, providing autonomy, intelligence, and adaptability across various industries. This article explores five compelling AI agent projects to enhance your skills in building intelligent automation and im
- AI 585 2025-04-09 10:22:11
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- Automating Email Sorting and Labelling with CrewAI - Analytics Vidhya
- Revolutionizing Email Management: Automating Sorting and Labeling with CrewAI and LLMs Ray Tomlinson, the inventor of email, could never have predicted its current ubiquity in professional communication. Today, email optimization is crucial, and gen
- AI 689 2025-04-09 10:08:14
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- How to Fine-tune LLMs to 1.58 bits? - Analytics Vidhya
- Exploring the Efficiency of 1.58-bit Quantized LLMs Large Language Models (LLMs) are rapidly increasing in size and complexity, leading to escalating computational costs and energy consumption. Quantization, a technique to reduce the precision of mo
- AI 954 2025-04-09 10:04:12
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- How to Measure the ROI of GenAI Investments? - Analytics Vidhya
- Introduction Generative AI's rapid rise transcends the tech sector, captivating C-suite executives and reshaping business operations. As organizations integrate Generative AI, assessing its effectiveness is paramount. This article guides businesses
- AI 503 2025-04-09 10:02:12
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- Top 7 LLM Parameters to Instantly Boost Performance
- Let’s say you’re interacting with an AI that not only answers your questions but understands the nuances of your intent. It crafts tailored, coherent responses that almost feel human. How does this happen? Most people
- AI 342 2025-04-09 09:59:10
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- Top 8 Applications of RAGs in Workplaces - Analytics Vidhya
- Introduction Retrieval-Augmented Generation (RAG) represents a significant advancement in artificial intelligence (AI). RAG systems cleverly combine the strengths of generative models (like GPT) with real-time information retrieval, making them inva
- AI 193 2025-04-09 09:57:12
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