Fri.Nov 01, 2024

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Veed.io Review: The Easiest AI Video Editor I’ve Ever Used

Unite.AI

As someone who has spent countless hours navigating the complexities of Premiere Pro, I know how overwhelming video editing can be. So, when I came across Veed.io , I was skeptical at first. Could a web-based editor really compare? After trying it for myself, I was impressed with how fast and intuitive it was without sacrificing quality! Here's a video I made with Veed.io on the benefits of yoga: Veed took care of everything: titles, media, AI avatars, voiceovers , background music, and even the

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning Blog

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.

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Agentic AI: How Large Language Models Are Shaping the Future of Autonomous Agents

Unite.AI

After the rise of generative AI, artificial intelligence is on the brink of another significant transformation with the advent of agentic AI. This change is driven by the evolution of Large Language Models (LLMs) into active, decision-making entities. These models are no longer limited to generating human-like text; they are gaining the ability to reason, plan, tool-using, and autonomously execute complex tasks.

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PAPILLON: A Privacy-Focused AI Solution that Blends Local and Proprietary Models to Deliver Safe and Accurate Language Model Outputs

Marktechpost

Artificial intelligence has recently expanded its role in areas that handle highly sensitive information, such as healthcare, education, and personal development, through advanced language models (LLMs) like ChatGPT. These models, often proprietary, can process large datasets and deliver impressive results. However, this capability raises significant privacy concerns because user interactions may unintentionally reveal personally identifiable information (PII) during model responses.

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Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

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Harnessing the Power of Generative AI

Towards AI

Author(s): Mirko Peters Originally published on Towards AI. Generative AI offers unprecedented opportunities for businesses, but implementation challenges like governance, integration, and talent acquisition persist. Success lies in strategic planning and informed decision-making. This member-only story is on us. Upgrade to access all of Medium. Imagine a world where your organization can predict customer behavior almost before it happens or streamline operations with a wave of its digital wand.

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The High Cost of Dirty Data in AI Development

Unite.AI

It’s no secret that there is a modern-day gold rush going on in AI development. According to the 2024 Work Trend Index by Microsoft and Linkedin, over 40% of business leaders anticipate completely redesigning their business processes from the ground up using artificial intelligence (AI) within the next few years. This seismic shift is not just a technological upgrade; it's a fundamental transformation of how businesses operate, make decisions, and interact with customers.

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All Hands AI Open Sources OpenHands CodeAct 2.1: A New Software Development Agent to Solve Over 50% of Real Github Issues in SWE-Bench

Marktechpost

The world of software development has seen an explosion in the use of AI agents over the last few years, promising to enhance productivity, automate complex tasks, and make the lives of developers easier. However, one problem that remains prevalent is the significant gap between these promising AI agents and their ability to address real-world issues effectively.

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ChatGPT Search: AI Search Engine Challenging Google Monopoly

Analytics Vidhya

Let’s start from the beginning!! With Google’s inception, our lives have become much easier than we ever imagined – if you want to explore any place before visiting, “Just Google It”; if you want to know about the history of the world dates back to the Stone Age, “Just Google It” and so on. However, […] The post ChatGPT Search: AI Search Engine Challenging Google Monopoly appeared first on Analytics Vidhya.

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Llama-3-Nanda-10B-Chat: A 10B-Parameter Open Generative Large Language Model for Hindi with Cutting-Edge NLP Capabilities and Optimized Tokenization

Marktechpost

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. With advancements in transformer-based models, large language models (LLMs) have shown impressive English NLP capabilities, enabling applications ranging from text summarization and sentiment analysis to complex reasoning tasks. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models.

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Smart Tools & Strong Teams: A People-First Approach to AI in Sales

Speaker: Matt Sunshine, CEO at The Center for Sales Strategy

AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning Blog

As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency across customer and user segments.

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This AI Paper Reveals the Inner Workings of Rotary Positional Embeddings in Transformers

Marktechpost

Rotary Positional Embeddings (RoPE) is an advanced approach in artificial intelligence that enhances positional encoding in transformer models, especially for sequential data like language. Transformer models inherently struggle with positional order because they treat each token in isolation. Researchers have explored embedding methods that encode token positions within the sequence to address this, allowing these models to handle ordered data more effectively.

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Kaarel Kotkas, CEO and Founder of Veriff – Interview Series

Unite.AI

Kaarel Kotkas is the CEO and Founder of Veriff and serves as the strategic thinker and visionary behind the company. He leads Veriff's team in staying ahead of fraud and competition in the rapidly changing field of online identification. Known for his energy and enthusiasm, Kotkas encourages the team to uphold integrity in the digital world. In 2023, he was recognized in the EU Forbes 30 Under 30, and in 2020, he was named the EY Entrepreneur of the Year in Estonia.

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AUTO-CEI: A Curriculum and Expert Iteration Approach to Elevate LLMs’ Response Precision and Control Refusal Rates Across Diverse Reasoning Domains

Marktechpost

Large language models (LLMs) are increasingly utilized for complex reasoning tasks, requiring them to provide accurate responses across various challenging scenarios. These tasks include logical reasoning, complex mathematics, and intricate planning applications, which demand the ability to perform multi-step reasoning and solve problems in domains like decision-making and predictive modeling.

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AI-Enabled Robotics Software for Manufacturing Automation: Speeding Time-to-Value

Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.

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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

Traditionally, clinical trials not only place a significant burden on patients and participants due to the costs associated with transportation, lodging, meals, and dependent care, but also have an environmental impact. With the advancement of available technologies, decentralized clinical trials have become a widely popular topic of discussion and offer a more sustainable approach.

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Mark Zuckerberg Confirms Meta’s Llama 4

Towards AI

Last Updated on November 1, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Parallels Brings Apple Intelligence to Windows This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday, we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!

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Use Amazon Q to find answers on Google Drive in an enterprise

AWS Machine Learning Blog

Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while adhering to the security and access restrictions of the content. You can tailor Amazon Q Business to your specific business needs by connecting to your company’s information and enterprise systems using built-in connectors to a variety of enterprise data sources.

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CHESTNUT: A QoS Dataset for Mobile Edge Environments

Marktechpost

Quality of Service (QoS) is a very important metric used to evaluate the performance of network services in mobile edge environments where mobile devices frequently request services from edge servers. It includes dimensions like bandwidth, latency, jitter, and data packet loss rate. However, most of the current QoS datasets, like the WS-Dream dataset, mainly focus on static QoS metrics and overlook factors like geographic location and temporal data.

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New Research-Backed Strategies to Empower Managers as Culture & Engagement Leaders

Speaker: Beth Sunshine, SVP, Up Your Culture

When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.

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Building the Future of Generative AI: Compound AI Systems

ODSC - Open Data Science

Single, monolithic models are out– compound AI systems are in. The next generation of generative AI will be dynamic, agentic workflows — systems of many models, modalities, and external knowledge sources that work together to solve business tasks. LLMs have impressive capabilities, but they are limited by their training data and access to real-time information.

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How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot

AWS Machine Learning Blog

This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Independent software vendors (ISVs) like Druva are integrating AI assistants into their user applications to make software more accessible.

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3 Advanced Strategies for Retrievers in LangChain

Analytics Vidhya

Retrievers play a crucial role in the LangChain framework by providing a flexible interface that returns documents based on unstructured queries. Unlike vector stores, retrievers are not required to store documents; their primary function is to retrieve relevant information. While vector stores can serve as the backbone of a retriever, various types of retrievers exist, […] The post 3 Advanced Strategies for Retrievers in LangChain appeared first on Analytics Vidhya.

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At the Frontier of Research Independence: The CDS Faculty Fellow Position

NYU Center for Data Science

Newly graduated PhDs often face a choice between the rigid structure of traditional postdocs and the high-pressure demands of junior faculty roles. The Faculty Fellow position at CDS, which is accepting applications now through November 25, carved out a different path. We talked with two current fellows to learn more about the role. “The job gives you the resources you need to execute on your vision,” CDS Faculty Fellow Umang Bhatt said.

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The AI Productivity Shift: Whats Working & Whats Next

85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

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This Pandas Trick Will Blow Your Mind As a Data Scientist!

Towards AI

Last Updated on November 1, 2024 by Editorial Team Author(s): Gencay I. Originally published on Towards AI. Automate Data Analysis with Pandas This member-only story is on us. Upgrade to access all of Medium. Created with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here Pandas is undoubtedly the most powerful data science library, but what if I told you that you could automate data analysis and complete your work with just a click?

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Google Gemini just took another step toward smart home control

Flipboard

If you're an Android user, you can ask Gemini to control smart lights, thermostats, and more via the Gemini app.

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Nvidia Will Launch an Arm-Based PC Platform in 2025: Report

Extreme Tech

Its collaboration with MediaTek will bear fruit in the new year as it takes on AMD, Intel, and Qualcomm.

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Is Abridge's tech a glimpse into the future of healthcare?

Flipboard

When Shiv Rao was a cardiologist and investor in Pittsburgh, he saw a patient with a 10-year-history of breast cancer who seemed particularly tense …

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Speeding Robotics Automation with AI

The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

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Perseverance Climbs Slippery Crater Slope, Stops to Snap Panorama

Extreme Tech

Perseverance could reach the rim of Jezero late this year.

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Industries in Focus: Machine Learning in Finance

Machine Learning Mastery

In recent years, the finance industry has been experiencing significant changes, with artificial intelligence and machine learning (ML) playing an increasingly important role.

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Microsoft to Charge $30 for Another Year of Windows 10 Security Updates

Extreme Tech

The fee gets you an extra year of patches beyond the October 2025 end date.

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