Thu.Nov 28, 2024

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When Graph AI Meets Generative AI: A New Era in Scientific Discovery

Unite.AI

In recent years, artificial intelligence (AI) has emerged as a key tool in scientific discovery, opening up new avenues for research and accelerating the pace of innovation. Among the various AI technologies, Graph AI and Generative AI are particularly useful for their potential to transform how scientists approach complex problems. Individually, each of these technologies has already made significant contributions across diverse fields such as drug discovery, material science, and genomics.

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Alibaba Marco-o1: Advancing LLM reasoning capabilities

AI News

Alibaba has announced Marco-o1, a large language model (LLM) designed to tackle both conventional and open-ended problem-solving tasks. Marco-o1, from Alibaba’s MarcoPolo team, represents another step forward in the ability of AI to handle complex reasoning challenges—particularly in maths, physics, coding, and areas where clear standards may be absent.

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LangChain vs CrewAI vs AutoGen to Build a Data Analysis Agent

Analytics Vidhya

In today’s data-driven world, organizations rely on data analysts to interpret complex datasets, uncover actionable insights, and drive decision-making. But what if we could enhance the efficiency and scalability of this process using AI? Enter the Data Analysis Agent, to automate analytical tasks, execute code, and adaptively respond to data queries.

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New AI training techniques aim to overcome current challenges

AI News

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. Reportedly led by a dozen AI researchers, scientists, and investors, the new training techniques, which underpin OpenAI’s recent ‘o1’ model (formerly Q* and Strawb

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Setting Up and Running GraphRAG with Neo4j

Analytics Vidhya

By combining knowledge graphs with RAG, GraphRAG addresses common challenges of large language models (LLMs), such as hallucinations, while enriching responses with domain-specific context for better quality and precision than traditional RAG methods. Knowledge graphs provide essential contextual data, enabling LLMs to deliver reliable answers and act as trusted agents in complex tasks.

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Comparison Between LangChain and LlamaIndex

Analytics Vidhya

LangChain and LlamaIndex are robust frameworks tailored for creating applications using large language models. While both excel in their own right, each offers distinct strengths and focuses, making them suitable for different NLP application needs. In this blog we would understand when to use which framework, i.e., comparison between LangChain and LlamaIndex.

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Linkup connects LLMs with premium content sources (legally)

Flipboard

If you’ve used ChatGPT Search or Perplexity you know that being able to search the web and get citations inline greatly improves these AI chatbots. Results are better when they involve timely information, and web search may reduce so-called hallucinations (i.e.

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SAP’s Vision for AI-Powered Business: The Role of Joule and Open-Source Models

Unite.AI

Artificial Intelligence (AI) is transforming how businesses manage data, make decisions, and streamline daily tasks. SAP , a global leader in enterprise software, is leading this change. SAP has a bold vision for the future, aiming to embed AI into every part of business operations. This approach drives innovation, boosts efficiency, and achieves significant growth.

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Understanding Continuous Bag of Words (CBOW)

Analytics Vidhya

Semantics is important because in NLP it is the relationships between the words that are being studied. One of the simplest yet highly effective procedure is Continuous Bag of Words (CBOW) which maps words to highly meaningful vectors called word vectors. CBOW is used in the Word2Vec framework and predicts a word based on the […] The post Understanding Continuous Bag of Words (CBOW) appeared first on Analytics Vidhya.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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The Only Code That Matters Is Integrity—Not Intelligence

Flipboard

Artificial Intelligence allegiance lies in the code we have crafted. This is both its strength and its peril. AI as we know it is mimicking a form of intelligence but hollow—it lacks a moral core.

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Optimizing LLM for Long Text Inputs and Chat Applications

Analytics Vidhya

Large Language Models (LLMs) have revolutionized characteristic dialect preparing (NLP), fueling applications extending from summarization and interpretation to conversational operators and retrieval-based frameworks. These models, like GPT and BERT, have illustrated extraordinary capabilities in understanding and producing human-like content. Handling long text sequences efficiently is crucial for document summarization, retrieval-augmented question answering, and multi-turn dialogues […]

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10 Best AI Phone Platforms & Agents for Call Centers (November 2024)

Unite.AI

AI voice agents are an integral part of today's automated phone communication, enabling businesses to process thousands of concurrent calls through sophisticated speech recognition and natural language processing systems. These platforms combine voice synthesis, real-time transcription, and contextual understanding to handle tasks ranging from appointment scheduling to complex customer support interactions.

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Could generative AI help to fill the skills gap in engineering? | Computer Weekly

Flipboard

The role of artificial intelligence and machine learning in society continue to be hotly debated, as the tools promise to revolutionise our lives, but how will they affect the engineering sector?

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Four Cutting-Edge Methods for Evaluating AI Agents and Enhancing LLM Performance

Marktechpost

The advent of LLMs has propelled advancements in AI for decades. One such advanced application of LLMs is Agents, which replicate human reasoning remarkably. An agent is a system that can perform complicated tasks by following a reasoning process similar to humans: think (solution to the problem), collect (context from past information), analyze(the situations and data), and adapt (based on the style and feedback).

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Artificial intelligence finds previously undetected historical climate extremes

Flipboard

There are over 30,000 weather stations in the world, measuring temperature, precipitation and other indicators often on a daily basis.

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Anthropic Expands AI Horizons: A Landmark Partnership with AWS and Breakthrough Model Capabilities

Marktechpost

Anthropic has dramatically reshaped the artificial intelligence landscape with transformative announcements that underscore the company’s commitment to pushing the boundaries of AI technology, enterprise solutions, and responsible innovation. A Landmark Partnership with AWS: Strategic Technological Collaboration The expanded collaboration with Amazon Web Services represents a pivotal moment in AI infrastructure development.

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Air Force continues to expand its version of ChatGPT following summer launch

Flipboard

The Air Force’s generative artificial intelligence platform, NIPRGPT, launched in June and has quickly grown to include thousands of users, according …

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression

Marktechpost

Large Language Models (LLMs) have revolutionized data analysis by introducing novel approaches to regression tasks. Traditional regression techniques have long relied on handcrafted features and domain-specific expertise to model relationships between metrics and selected features. However, these methods often struggle with complex, nuanced datasets that require semantic understanding beyond numerical representations.

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Would You Ride in a Self-Driving Robotaxi? Driverless Cars Struggle to Gain Traction

Flipboard

When The New York Times revealed that Google was developing self-driving cars some 14 years ago now, it kicked off a race among automakers to develop fully autonomous vehicles (AVs) or risk being left behind by the deep-pocketed tech giant.

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This Winter Will Be a Big One For Skygazers

Extreme Tech

From meteor showers and solar flares to potential auroras, this season's skies will be ones to remember.

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Amazon is almost ready to show off its Olympus AI model.

Flipboard

Amazon is almost ready to show off its Olympus AI model. According to The Information, the retail giant might be unveiling its flagship LLM at its AWS re:Invent conference next week.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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SEALONG: A Self-Improving AI Approach to Long-Context Reasoning in Large Language Models

Marktechpost

Large language models (LLMs) with long-context processing capabilities have revolutionized technological applications across multiple domains. Recent advancements have enabled sophisticated use cases including repository-level coding assistance, multi-document analysis, and autonomous agent development. These models demonstrate remarkable potential in handling extensive contextual information, requiring advanced mechanisms to retrieve and integrate dispersed details effectively.

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Large language models (LLMs) are often poor philosophers. But these shortcomings make them more useful for teaching, not less.

Flipboard

There are a few reasons why a philosophy instructor might hesitate to use assignments with AI. One worry is that AI will just encourage students to cheat or otherwise turn their brains off. Another worry (and source of contempt!) is that current LLMs are just bad philosophers. They make basic logical errors.

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5 Free Courses for Mastering LLMs

Machine Learning Mastery

Without any doubt, Large Language Models (LLMs) have emerged as one of the biggest AI breakthroughs in recent years: they excel in understanding and generating human-like text , making them versatile for a wide range of applications.

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How Enterprise Leaders Are Using A.I.

Flipboard

How are U.S. enterprise leaders approaching AI adoption? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world. Answer by Stefan Weitz, CEO/Co-founder of HumanX, on Quora: HumanX recently surveyed over 1,000 U.S.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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Get the Power of GeForce-Powered Gaming in the Cloud Half Off With Black Friday Deal

NVIDIA

Turn Black Friday into Green Thursday with a new deal on GeForce NOW Ultimate and Performance memberships this week. For a limited time, get 50% off new Ultimate or Performance memberships for the first three months to experience the power of GeForce RTX-powered gaming at a fraction of the cost. The giving continues for GeForce NOW members: SteelSeries is offering a 30% discount exclusively to all GeForce NOW members on Stratus+ or Nimbus+ controllers, perfect for gaming anytime, anywhere when p

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5 ChatGPT Prompts To Create High-Value Content From Coaching Calls

Flipboard

Most coaches only use a fraction of the value in their client calls. The rest disappears into forgotten Zoom recordings and messy, scribbled notes. But coaches who repurpose their call content get more engagement on social media and close more sales.

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This AI Paper Introduces DyCoke: Dynamic Token Compression for Efficient and High-Performance Video Large Language Models

Marktechpost

Video large language models (VLLMs) have emerged as transformative tools for analyzing video content. These models excel in multimodal reasoning, integrating visual and textual data to interpret and respond to complex video scenarios. Their applications range from question-answering about videos to summarization and video description. With their capacity to process large-scale inputs and provide detailed outputs, they are crucial in tasks requiring advanced comprehension of visual dynamics.