AI Workflows
We live in a world where data flows in from all directions and technology is evolving blazingly fast. Now to keep up with the pace of that advancement, its become really important that we automate our redundant tasks specially the ones with similar structures that consume valuable time. AI-powered workflows
AI Workflows
As AI gets smarter, people want answers that are quick, accurate, and fresh. One smart way to do this is with Retrieval-Augmented Generation (RAG), which lets AI pull info in real time from all kinds of sources—websites, PDFs, CSVs, even databases. It's a game-changer for keeping things
The legal profession in 2025 is more dynamic than ever, with artificial intelligence (AI) transforming how attorneys research, strategize, and build cases. While industry giants like Westlaw, CoCouncel and LexisNexis still play a role, new age legal tech startups are shaking things up—bringing speed, accuracy, and affordability to legal
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The legal and judicial landscape has long relied on historical data, expert opinions, and case precedents to determine case outcomes. However, with the advent of Artificial Intelligence (AI)-powered predictive analytics, the approach to legal decision-making is undergoing a seismic shift. Predictive analytics leverages machine learning (ML) models, natural language
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From creating code snippets to debugging and program optimisation, Large Language Models (LLMs) have made amazing progress helping with software development. However, to evaluate their practical value, assessing these models calls for thorough benchmarking. Several benchmarks have been created to evaluate an LLM's capacity to manage programming assignments,
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AI-driven code generation has transformed the way developers write, debug, and optimize software. With open-source models becoming more powerful and accessible, developers no longer have to rely on proprietary solutions like GitHub Copilot or OpenAI’s GPT-4. In this article, we’ll explore Top 5 Open-Source Coding Models with less
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As AI research pushes forward, new breakthroughs are redefining how intelligent systems reason, retrieve information, and interact with their environments. This week, We explore 10 cutting-edge research papers that tackle key challenges in AI Agents, Retrieval-Augmented Generation (RAG), and Benchmarking. From enhancing multi-agent collaboration to optimizing retrieval efficiency and evaluating
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As February begins, the AI landscape continues to evolve at an historic pace, with groundbreaking research shaping the future of intelligent systems. In this article, we spotlight the Top 10 Cutting-Edge Research Papers on AI Agents, RAG, and Benchmarking from this week, breaking down key insights, examining their impact, and
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AI agents are changing the way we interact with technology, automating tasks, making decisions, and even collaborating with humans. But building powerful AI agents from scratch can be complex. Luckily, open-source frameworks make it easier, offering tools and ready-to-use structures to develop smart, interactive agents. In this article, we’ll
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Retrieval-Augmented Generation (RAG) is evolving rapidly, becoming more efficient, accurate, and adaptable—and the latest research is setting the stage for its future advancements. We’ve selected 10 of the most relevant papers from a total of 110 RAG papers released in January on Arxiv, that explore innovative RAG frameworks,
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AI agents are getting smarter, faster, and more independent—and the research coming out now is laying the groundwork for what’s next. We’ve selected 10 most relevant papers out of total 309 Agent papers released in January on Arxiv that tackle key challenges like governance, collaboration, reasoning, and
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As January comes to a close, the AI landscape is more dynamic than ever, with breakthroughs redefining what’s possible. DeepSeek has become a leading player in open-source AI, and the open-source community as a whole is growing rapidly, driving innovation faster than ever. In this article, we highlight Top
