Sun.May 19, 2024

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Top 10 YouTube Channels to Master Python

Analytics Vidhya

Introduction This article highlights 10 exceptional YouTube channels that provide comprehensive tutorials, practical guidance, and engaging content for mastering Python programming. These channels cover various aspects of Python, from statistics to machine learning, AI, and data science. Whether you’re a beginner or an experienced programmer, these channels help you advance your Python knowledge.

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Glossary: Controlling AI Systems

Cassie Kozyrkov

Understanding the words used to describe various aspects of making AI do what you need it to Continue reading on Towards Data Science ยป

professionals

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Synthflow AI: The Ultimate Tool for Automating Your Business Calls

Analytics Vidhya

Introduction Conversational AI has emerged as a transformative technology in recent years, fundamentally changing how businesses interact with customers. By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions. This technology powers chatbots, virtual assistants, and voice agents, facilitating customer […] The post Synthflow AI: The Ultimate Tool for Autom

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Glossary: Controlling AI Systems

Cassie Kozyrkov

Understanding the words used to describe various aspects of making AI do what you need it to Continue reading on Medium ยป

AI 130
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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin Oโ€™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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Hereโ€™s How Gemini for Gmail Can Transform Your Inbox

Analytics Vidhya

Introduction Gemini for Gmail is an advanced AI tool that enhances your email experience. It integrates seamlessly into your Gmail interface, offering features that streamline email management and boost productivity. With Gemini, users can summarize lengthy email threads, draft responses, and find specific information from previous emails and Google Drive files.

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How AI Can Reshape Legal Education + Lawyer Training

Artificial Lawyer

AI will change not just legal work, but legal education and lawyer training โ€“ here are five examples of how. AIโ€™s application to the law also raises key questions about evaluating legal work.

AI 135
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ALPINE: Autoregressive Learning for Planning in Networks

Marktechpost

Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range of activities, including language processing, knowledge extraction, reasoning, planning, coding, and tool use. These abilities have sparked research into creating even more sophisticated AI models and hint at the possibility of Artificial General Intelligence (AGI).

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Introducing Databricks Assistant Autocomplete

databricks

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing.

AI 128
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CinePile: A Novel Dataset and Benchmark Specifically Designed for Authentic Long-Form Video Understanding

Marktechpost

Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend and analyze visual content. Tasks like recognizing objects, understanding human actions, and interpreting events within a video come under this domain. Advancements in this domain find crucial applications in autonomous driving, surveillance, and entertainment industries.

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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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Why We Urgently Need AI Control Systems

Cassie Kozyrkov

A perpendicular take to AGI fear-mongering Continue reading on The Startup ยป

AI 130
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Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models

Marktechpost

Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models. This integration allows for creating high-quality, contextually relevant responses by leveraging vast datasets. RAG has significantly improved the performance of virtual assistants, chatbots, and information retrieval systems by ensuring that generated responses are accurate and contextually appropriate.

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Automatic Creative Selection with Cross-Modal Matching

Machine Learning Research at Apple

Application developers advertise their Apps by creating product pages with App images, and bidding on search terms. It is then crucial for App images to be highly relevant with the search terms. Solutions to this problem require an image-text matching model to predict the quality of the match between the chosen image and the search terms. In this work, we present a novel approach to matching an App image to search terms based on fine-tuning a pre-trained LXMERT model.

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Google AI Described New Machine Learning Methods for Generating Differentially Privateย Synthetic Data

Marktechpost

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. As machine learning models increasingly rely on large datasets, ensuring the privacy of individuals whose data contributes to these models becomes crucial.

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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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ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading

Machine Learning Research at Apple

Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading can develop critical reading readiness skills, but most adult readers are unsure if and how to lead effective conversations. We present ContextQ, a tablet-based reading application to unobtrusively present auto-generated dialogic questions to caretakers to support this dialogic reading practice.

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TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training

Marktechpost

The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models (mPLMs) often struggle to handle transliterated data effectively, leading to performance degradation. Addressing this issue is crucial for improving cross-lingual transfer learning and ensuring accurate NLP applications across various languages and scripts, which is essential for global communication and info

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Our Little Secret

Robot Writers AI

ChatGPT Can Now Talk With Itself — At Length In a startling new video, ChatGPT’s maker OpenAI showcased how two smartphones running its latest AI engine can observe the world together, think about the world together and talk about the world together. OpenAI pulled-off the demo by creating a female ChatGPT personality on one smartphone and a male personality on a second smartphone.

ChatGPT 52
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This AI Paper Discusses How Latent Diffusion Models Improve Music Decoding from Brain Waves

Marktechpost

Brain-computer interfaces (BCIs) focus on creating direct communication pathways between the brain and external devices. This technology has applications in medical, entertainment, and communication sectors, enabling tasks such as controlling prosthetic limbs, interacting with virtual environments, and decoding complex cognitive states from brain activity.

AI 114
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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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Compute and the role it plays in AI

Bugra Akyildiz

I will cover the big news for GPT4-o next week and due to that, I covered anything but GPT4-o in this week’s instance. Be tuned for the next week’s newsletter, it will be full of GPT4-o. Now, usual programming: Articles AI Now Institute wrote a blog post where they talk about compute role in the AI. Compute, or computational power, refers to the processing capabilities and memory resources required to train and run artificial intelligence (AI) models.

AI 52
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This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL

Marktechpost

Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without requiring parameter updates. Recent studies confirm the efficacy of few-shot multimodal ICL, particularly in improving LMM performance on out-of-domain tasks. With longer context windows in advanced models like GPT-4o and Gemini 1.5 Pro, researchers can now investigate the impact of increasing demonstrating examples, a factor pre

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Reading Beyond the Hype: Some Observations About OpenAI and Googleโ€™s Announcements

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 397: Provides an overview of multi-plan selection autonomous agents. Discusses Allen AI’s ADaPT paper for planning in LLMs and introduces the SuperAGI framework for building autonomous agents. Edge 398: We dive into the Microsoft’s amazing Phi-3 model which is able to outperform much larger models in math and computer science and started the small language model movement.

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Quantum Machine Learning for Accelerating EEG Signal Analysis

Marktechpost

The origins of quantum computing trace back to Richard Feynman’s ideas of simulating various Hamiltonians using controlled quantum systems, with David Deutsch later formulating the theory of quantum Turing machines. This led to the proposal of numerous quantum algorithms, driving rapid advancements in quantum computing. Quantum machine learning (QML), an interdisciplinary field, aims to accelerate machine learning processes compared to classical methods.

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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 whatโ€™s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Planning Architectures for Autonomous Robotics

Marktechpost

Autonomous robotics has seen significant advancements over the years, driven by the need for robots to perform complex tasks in dynamic environments. At the heart of these advancements lies the development of robust planning architectures that enable robots to plan, perceive, and execute tasks autonomously. Letโ€™s delve into the various planning architectures for autonomous robotics, focusing on OpenRAVE, a versatile open-source software architecture designed to address the complexities of roboti

Robotics 100