Wed.Oct 09, 2024

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10 Best AI Cover Letter Generators (October 2024)

Unite.AI

Artificial Intelligence is being integrated throughout the job application process, and cover letters are no exception. As these documents remain crucial for showcasing personality and fit, AI-powered generators are emerging as valuable tools. These tools leverage advanced algorithms to create personalized, ATS-friendly cover letters in minutes, helping job seekers craft compelling narratives that resonate with employers while saving valuable time and effort. 1.

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The risks behind the generative AI craze: Why caution is growing

AI News

In the near future, Silicon Valley might look back at recent events as the point where the generative AI craze went too far. This past summer, investors questioned whether top AI stocks could sustain their sky-high valuations, given the lack of returns on massive AI spending. As Autumn approaches, major AI sectors—such as chips, LLMs, and AI devices—received renewed confidence.

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Generative AI isn’t just about technology; it’s about business transformation

IBM Journey to AI blog

We are now at a crucial stage in our evolution with enterprise generative AI. While consumer generative AI has captured the imagination of millions, executives are developing the practices that can deliver an effective and responsible strategy for enterprise generative AI. According to our CEO survey, 60% of organizations are not yet developing a consistent, enterprise-wide approach to generative AI.

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The 2024 Nobel Prizes: AI is Taking Over Everything

Analytics Vidhya

The 2024 Nobel Prizes in Physics and Chemistry signal a significant shift: Artificial Intelligence (AI) isn’t just a tool anymore, it’s becoming the beating heart of scientific progress. This year’s laureates have shown how AI is transforming fields as diverse as physics, biology and chemistry, laying the groundwork for AI’s relentless march into all aspects […] The post The 2024 Nobel Prizes: AI is Taking Over Everything appeared first on Analytics Vidhya.

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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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Changing How We Think About GenAI in the Boardroom: Navigating Short and Long-Term ROI

Unite.AI

As leadership teams around the world begin planning for 2025, the topic on everyone’s mind is when to expect their investments in AI and/or generative AI (GenAI) to pay off. New research from Google Cloud has revealed that more than 6 in 10 large (more than 100 employees) companies are using GenAI, and 74% are already seeing some sizable return on investment (ROI).

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New IBV study: AI drives mainframe innovation

IBM Journey to AI blog

To better understand how IT leaders are leveraging mainframes today and envisioning their future in the era of AI and hybrid cloud, the IBM Institute for Business Value, (IBV) in collaboration with Oxford Economics, conducted a survey of 2,551 global IT executives. The findings show the mainframe is already playing a pivotal role in supporting AI innovation, hybrid cloud strategies, and acceleration of digital transformation.

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Method Chaining in Python

Analytics Vidhya

Introduction Consider writing a code that entails functions that are connected, one to another, in a way that does not break the flow of a sentence. That’s method chaining in Python—an efficient approach that makes it possible to invoke multiple methods within an object using a single line of code. It makes code shorter, more […] The post Method Chaining in Python appeared first on Analytics Vidhya.

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AI News Weekly - Issue #407: New LLM focused and trained on only the most vetted AI news and sources - Oct 9th 2024

AI Weekly

Welcome New LLM trained on AI sources only Hello all AI Weekly subscribers! Today we want to introduce to you a new concept for getting the most interesting AI news along with insights developed by our team here at AI WEEKLY. We're excited to launch our new product : Essentials Pro. Essentials Pro for AI is a Small Language Model based platform that : 1) Recommends daily and weekly links based on your specific AI interests 2) Offers a chatbot interface to ask AI specific questions and get answer

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How Agentic AI is Transforming Enterprises – Insights from the Forum Ventures Report

Unite.AI

Forum Ventures , an early-stage B2B SaaS fund, accelerator, and AI venture studio, today announced the release of its latest comprehensive report, “ 2024: The Rise of Agentic AI in the Enterprise.” The report offers a detailed analysis of the current state and future trajectory of agentic AI , providing valuable insights for businesses, investors, and startups alike.

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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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What’s the ROI? Getting the Most Out of LLM Inference

NVIDIA

Large language models and the applications they power enable unprecedented opportunities for organizations to get deeper insights from their data reservoirs and to build entirely new classes of applications. But with opportunities often come challenges. Both on premises and in the cloud, applications that are expected to run in real time place significant demands on data center infrastructure to simultaneously deliver high throughput and low latency with one platform investment.

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AKOOL Review: Turning into Jack Sparrow with Face Swap

Unite.AI

Now more than ever, content creators face increasing demands to produce high-quality visuals quickly and efficiently. Did you know that two of the top content marketing challenges marketers face today are producing high-quality content and generating this content consistently? It's no wonder, as popular platforms like TikTok are becoming saturated. As time goes on, it's becoming increasingly essential for creators to stand out and keep up with the rapid demand for fresh and engaging material.

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AutoArena: An Open-Source AI Tool that Automates Head-to-Head Evaluations Using LLM Judges to Rank GenAI Systems

Marktechpost

Evaluating generative AI systems can be a complex and resource-intensive process. As the landscape of generative models evolves rapidly, organizations, researchers, and developers face significant challenges in systematically evaluating different models, including LLMs (Large Language Models), retrieval-augmented generation (RAG) setups, or even variations in prompt engineering.

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Ameesh Divatia, Co-founder & CEO of Baffle – Interview Series

Unite.AI

Ameesh Divatia is the co-founder & CEO of Baffle , a company focused on integrating data security into every aspect of the data pipeline to simplify cloud data protection and minimize the impact of data breaches. Its platform offers a no-code, easy-to-deploy solution that secures sensitive data without affecting performance or requiring changes to applications.

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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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Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business

AWS Machine Learning Blog

Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to answer questions, provide summaries, generate content, and complete tasks based on your enterprise data. Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3) , Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk and can help you create your generative

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Enhancing Text Retrieval: Overcoming the Limitations with Contextual Document Embeddings

Marktechpost

Text retrieval in machine learning faces significant challenges in developing effective methods for indexing and retrieving documents. Traditional approaches relied on sparse lexical matching methods like BM25, which used n-gram frequencies. However, these statistical models have limitations in capturing semantic relationships and context. The primary neural method, a dual encoder architecture, encodes documents and queries into a dense latent space for retrieval.

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Demis Hassabis & John Jumper awarded Nobel Prize in Chemistry

DeepMind

The award recognizes their work developing AlphaFold, a groundbreaking AI system that predicts the 3D structure of proteins from their amino acid sequences.

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Dynamic Contrastive Decoding (DCD): A New AI Approach that Selectively Removes Unreliable Logits to Improve Answer Accuracy in Large Vision-Language Models

Marktechpost

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs and can process both images and text. While LVLM are impressive at understanding and describing visual content, they sometimes face challenges due to inconsistencies between their visual and language components. This happens due to the part that handles images and the part that processes language may have different stored information, leading to conflicts between thei

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Mussel-Inspired Adhesive Breaks Down Plastic, Could Prevent Biofouling

Extreme Tech

Not only do the enzyme-wielding bacteria in this adhesive facilitate biorecycling, but they could save ship hulls, underwater pipes, and more from the buildup of barnacles and algae.

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Differential Transformer: A Foundation Architecture for Large Language Models that Reduces Attention Noise and Achieves Significant Gains in Efficiency and Accuracy

Marktechpost

Transformer architecture has enabled large language models (LLMs) to perform complex natural language understanding and generation tasks. At the core of the Transformer is an attention mechanism designed to assign importance to various tokens within a sequence. However, this mechanism distributes attention unevenly, often allocating focus to irrelevant contexts.

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Microsoft Kills Surface Duo 2 On Device's Third Anniversary

Extreme Tech

Microsoft said in October 2021 that it would keep the Duo 2 around for a minimum of three years—and now that it's fulfilled that promise, it's dipping out of the smartphone game once again.

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Anthropic AI Introduces the Message Batches API: A Powerful and Cost-Effective Way to Process Large Volumes of Queries Asynchronously

Marktechpost

Anthropic AI recently launched a new Message Batches API , which is a useful solution for developers handling large datasets. It allows the submission of up to 10,000 queries at once, offering efficient, asynchronous processing. The API is designed for tasks where speed isn’t crucial, but handling bulk operations effectively matters. It’s especially helpful for non-urgent queries, with results processed within 24 hours and a 50% cost reduction compared to traditional API calls.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Leaked Intel Arrow Lake Benchmark Slides Show Very Small Uplift Over 14900K, Ryzen 9950X

Extreme Tech

Slides from Intel show its newest architecture will not crush Raptor Lake or Zen 5 but could offer much-improved efficiency.

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ZODIAC: Bridging LLMs and Cardiological Diagnostics for Enhanced Clinical Precision

Marktechpost

LLMs are advancing healthcare by offering new possibilities in clinical support, especially through tools like Microsoft’s BioGPT and Google’s Med-PaLM. Despite these innovations, LLMs in healthcare face a significant challenge: aligning with the professionalism and precision required for real-world diagnostics. This gap is particularly crucial under FDA regulations for Software-as-a-Medical-Device (SaMD), where LLMs must demonstrate specialized expertise.

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AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction.

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This Machine Learning Unveils How Large Language Models LLMs Operate as Markov Chains to Unlock Their Hidden Potential

Marktechpost

Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as machine translation and question-answering. However, a significant challenge remains in understanding the theoretical underpinnings of their performance. Specifically, there is a lack of a comprehensive framework that explains how LLMs generate contextually relevant and coherent sequences of text.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Introducing Structured Outputs with OpenAI

Pragnakalp

Introduction In application development, ensuring that data exchanged between systems is properly structured is critical—especially when using formats like JSON, which is widely adopted for data communication. However, getting models to produce valid JSON outputs consistently can be a challenging task. Developers often need to invest significant time in crafting complex prompts to ensure the model includes all the necessary keys and values while avoiding errors like invalid enums or missing fiel

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AI Summit: US Energy Secretary Highlights AI’s Role in Science, Energy and Security

NVIDIA

AI can help solve some of the world’s biggest challenges — whether climate change, cancer or national security — U.S. Secretary of Energy Jennifer Granholm emphasized today during her remarks at the AI for Science, Energy and Security session at the NVIDIA AI Summit , in Washington, D.C. Granholm went on to highlight the pivotal role AI is playing in tackling major national challenges, from energy innovation to bolstering national security.

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RLHF and RLAIF in GPT-NeoX

Eleuther.ai

GPT-NeoX now supports post-training thanks to a collaboration with SynthLabs.

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