Fri.Jan 03, 2025

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AI Agents Applications: What they can and cannot do for a Business?

Analytics Vidhya

AI agents are changing how businesses operate, offering unprecedented opportunities for efficiency, scalability, and innovation. Major AI business organisations like Meta, Google, etc are rapidly implementing these AI agents into their workflows, while emerging players like CrewAI and LangChain are spearheading the agentic AI movement to create robust autonomous systems.

Analytics 235
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Ready to transform how your IT organization drives business outcomes with AIOps?

CIO Business Intelligence

Artificial intelligence for IT operations (AIOps) solutions help manage the complexity of IT systems and drive outcomes like increasing system reliability and resilience, improving service uptime, and proactively detecting and/or preventing issues from happening in the first place. According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs.

IT 105
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Web Scraping with LLMs and ScrapeGraphAI

Analytics Vidhya

Web scraping has become an important tool essential for gathering useful information from the available websites. Of all the tools that are present, ScrapeGraphAI is unique as it can identify graphs and use Artificial Intelligence for web scraping. This article explores ScrapeGraphAI’s features, provides a step-by-step guide for implementation, and addresses common challenges.

Analytics 223
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10 GitHub Repositories to Master Math

KDnuggets

Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Local Synthetic Data Generation using LLama 3.2 and Ollama

Analytics Vidhya

You have heard the famous quote “Data is the new Oil” by British mathematician Clive Humby it is the most influential quote that describes the importance of data in the 21st century but, after the explosive development of the Large Language Model and its training what we don’t have right is the data. because the […] The post Local Synthetic Data Generation using LLama 3.2 and Ollama appeared first on Analytics Vidhya.

Modeling 224
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Getting Started with Building RAG Systems Using Haystack

KDnuggets

Retrieval augmented generation (RAG) is altering the way we use large language models, but building these systems can be hectic. In this article, you will learn how to build RAG systems using Haystack.

Modeling 133

More Trending

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How to Build Trust in Data Analytics Projects

Dataiku

Data quality issues undermine the reliability of analytics projects, posing significant challenges for analytics leaders and IT teams. In a recent Product Days session, Lauren Anderson and Jean-Guillaume Appert explored how Dataikus embedded data quality features can help you build trust in your data projects. Learn how you or your teams can easily identify, and fix issues, all within the same platform that youre building analytics projects.

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Elon Musk Adds Image Analysis to Grok AI: Here’s What It Can Do!

Analytics Vidhya

Elon Musks Grok AI has been making waves in the AI space for a while, but its latest upgrade is turning heads like never before. The new image analysis feature is here, and its quiet interesting. From converting complex engineering tables to analyzing blood test results, Grok is stepping up in the image analysis game. […] The post Elon Musk Adds Image Analysis to Grok AI: Heres What It Can Do!

IT 208
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“무분별한 실험 시기는 지났다”··· 생성형 AI 실용화가 중심이 될 2025년

CIO Business Intelligence

NTT , 90% AI , . NTT AI AI , IT AI . 50% . 4 IDC 37 AI (PoC) , . , , . PoC . IT 3 1 AI AI . AI . , AI . , . (SkyPhi) CEO AI . , . . , , . .

IT 105
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OLMo 2: Fully Open-Source Foundation Models

Analytics Vidhya

OLMo 2 models are Ai2’s fully open source language models. They have a dense autoregressive architectures with optimized trainings, pretraining data mixtures, and advanced instruction tuning techniques. By addressing training stability and improving per-token efficiency, OLMo 2 sets a benchmark in performance and transparency. The introduction of Dolmino Mix 1124, a specialized data mix for […] The post OLMo 2: Fully Open-Source Foundation Models appeared first on Analytics Vidhya.

Modeling 110
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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일문일답 | 트랙터 서플라이 CIO 롭 밀스, 디지털 혁신으로 ‘최고성장책임자’가 되다

CIO Business Intelligence

, , . 140 ( 18 7,200 ) . 1938 5 , 49 2,200 . CIO (Tech Whisperers) , , . . . Q: ? A: 3 , . . . . . . . . , , . , . , . . . Q: CEO .

IT 96