Sun.Jul 07, 2024

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9 Free AI Courses from Stanford

Analytics Vidhya

Introduction Artificial Intelligence (AI) is transforming industries and creating new possibilities in various fields. Stanford University, renowned for its contributions to AI research, offers several free courses that can help you get started or advance your knowledge in this exciting domain. Whether you’re a beginner or an experienced professional, these courses provide valuable insights into […] The post 9 Free AI Courses from Stanford appeared first on Analytics Vidhya.

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5 Best AI Tools for the Construction Industry (July 2024)

Unite.AI

AI technologies are disrupting the construction industry. As construction projects become increasingly complex, project managers and construction professionals are turning to AI-powered tools to streamline processes, improve efficiency, and make data-driven decisions. In this piece, we will explore the best AI tools for construction, highlighting how these innovative solutions are reshaping project management and optimizing the entire construction process from planning to completion.

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What are the TCL Commands in SQL?

Analytics Vidhya

Introduction TCL (Transaction Control Language) commands are crucial in SQL overseeing changes enacted by DML (Data Manipulation Language) statements. These commands enable users and database administrators to manage transaction processes, maintaining data consistency and integrity. This article explores the main TCL commands, their functions, and their practical uses.

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InternLM2.5-7B-Chat: Open Sourcing Large Language Models with Unmatched Reasoning, Long-Context Handling, and Enhanced Tool Use

Marktechpost

InternLM has unveiled its latest advancement in open large language models, the InternLM2.5-7B-Chat , available in GGUF format. This model is compatible with llama.cpp, an open-source framework for LLM inference, can be utilized locally and in the cloud across various hardware platforms. The GGUF format offers half-precision and low-bit quantized versions, including q5_0, q5_k_m, q6_k, and q8_0.

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The AI Superhero Approach to Product Management

Speaker: Conrado Morlan

In this engaging and witty talk, we’ll explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, we’ll uncover how AI can be the ultimate sidekick, aiding in decision-making, enhancing productivity, and boosting innovation. Attendees will leave with practical tools and actionable insights, motivated to embrace AI and leverage its potential in their work. 🦸 🏢 Key objectives:

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Incorporight – Legal Blockchain Without The Hype

Artificial Lawyer

Remember the idea of using the blockchain for legal needs? Well, it’s still with us and legal tech startup Incorporight is based upon it.

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Bytes Are All You Need: Transformers Operating Directly On File Bytes

Machine Learning Research at Apple

Modern deep learning approaches usually utilize modality-specific processing. For example, the most common deep learning approach to image classification involves decoding image file bytes into an RGB tensor which is passed into a neural network. Instead, we investigate modality-independent representation learning by performing classification directly on file bytes, without the need for decoding files at inference time.

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T-FREE: A Tokenizer-Free Approach for Efficient and Scalable Text Encoding in Large Language Models

Marktechpost

Natural language processing (NLP) drives researchers to develop algorithms that enable computers to understand, interpret, and generate human languages. These efforts cover various applications, such as machine translation, sentiment analysis, and intelligent conversational agents. The problem concerns the inefficiencies and limitations of tokenizers used in large language models (LLMs).

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MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs

Machine Learning Research at Apple

We introduce MIA-Bench, a new benchmark designed to evaluate multimodal large language models (MLLMs) on their ability to strictly adhere to complex instructions. Our benchmark comprises a diverse set of 400 image-prompt pairs, each crafted to challenge the models' compliance with layered instructions in generating accurate responses that satisfy specific requested patterns.

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Policy Learning with Large World Models: Advancing Multi-Task Reinforcement Learning Efficiency and Performance

Marktechpost

Reinforcement Learning (RL) excels at tackling individual tasks but struggles with multitasking, especially across different robotic forms. World models, which simulate environments, offer scalable solutions but often rely on inefficient, high-variance optimization methods. While large models trained on vast datasets have advanced generalizability in robotics, they typically need near-expert data and fail to adapt across diverse morphologies.

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Provide Real Value in Your Applications with Data and Analytics

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.

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Apple Goes Small and Super Multimodal

TheSequence

Created Using Ideogram Next Week in The Sequence: Edge 411: We dive into episodic memory and autonomous agents including the Larimar research by Princeton University. We also explore the Chroma database stack. Edge 412: We review three recent papers from Microsoft about privacy in generative AI. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

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How ChatGPT is Revolutionizing Customer Service in 2024

Marktechpost

In 2024, the landscape of customer service is undergoing a profound transformation, largely driven by the advancements in artificial intelligence (AI). Among these advancements, OpenAI’s ChatGPT has become a pivotal tool in revolutionizing how businesses interact with customers. This innovative technology enhances customer experiences and streamlines company operations across various industries.

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Free AI-Powered Proofreading

Robot Writers AI

Courtesy ChatGPT and Grammarly Among ChatGPT’s myriad editorial skills is its ability to proofread your text at an extremely high level of proficiency. And if all you’re looking for is an occasional proofread, you’ll find you can get help from ChatGPT — combined with similar AI tools — for free. I began using ChatGPT as a back-up proofer for my primary proofreading tool — Grammarly — after I saw it consistently catching errors in text that Grammarly was

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Top Free Artificial Intelligence AI Courses from Ivy League Colleges

Marktechpost

Ivy League Colleges such as Harvard, Stanford, and MIT offer a range of free online courses that make high-quality education accessible to a global audience. These courses span various fields, including computer science, data science, business, and the humanities, providing valuable learning opportunities regardless of geographical or financial constraints.

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Demystifying DAPs: A Practical Guide to Digital Adoption Success

Speaker: Pulkit Agrawal

Digital Adoption Platforms (DAPs) are revolutionizing the way organizations interact with and optimize their software applications. As digital transformation continues to accelerate, DAPs have become essential tools for enhancing user engagement and software efficiency. This session is your guide into the robust world of DAPs, exploring their origins, evolution, and the current trends shaping their development.

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Search4LLM and LLM4Search: Improving Language Models and Search Engines

Marktechpost

The rise of the Internet has flooded with information, making search engines more important than ever for navigating this vast online world. However, as user queries become more complex and expectations for precise, relevant, and up-to-date answers increase, traditional search technologies face various challenges to meet the requirement. Significant progress has been made in natural language processing (NLP) and information retrieval (IR) technologies.

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Researchers at the University College London Unravel the Universal Dynamics of Representation Learning in Deep Neural Networks

Marktechpost

Deep neural networks (DNNs) come in various sizes and structures. The specific architecture selected along with the dataset and learning algorithm used, is known to influence the neural patterns learned. Currently, a major challenge faced in the theory of deep learning is the issue of scalability. Although exact solutions to learning dynamics exist for simpler networks, adjusting even a small part of the network architecture often requires significant changes to the analysis.

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Autonomous Robot Navigation and Efficient Data Collection: Human-Agent Joint Learning and Reinforcement-Based Autonomous Navigation

Marktechpost

In recent years, advancements in robotic technology have significantly impacted various fields, including industrial automation, logistics, and service sectors. Autonomous robot navigation and efficient data collection are crucial aspects that determine the effectiveness of these robotic systems. Based on the content of two detailed research papers, let’s delve into two primary topics: human-agent joint learning for robot manipulation skill acquisition and reinforcement learning-based auto

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Researchers at IT University of Copenhagen Propose Self-Organizing Neural Networks for Enhanced Adaptability

Marktechpost

Artificial neural networks (ANNs) traditionally lack the adaptability and plasticity seen in biological neural networks. This limitation poses a significant challenge for their application in dynamic and unpredictable environments. The inability of ANNs to continuously adapt to new information and changing conditions hinders their effectiveness in real-time applications such as robotics and adaptive systems.

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Deliver Mission Critical Insights in Real Time with Data & Analytics

In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way. Logi Symphony offers a powerful and user-friendly solution, allowing you to seamlessly embed self-service analytics, generative AI, data visualization, and pixel-perfect reporting directly into your applications.

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WorldBench: A Dynamic and Flexible LLM Benchmark Composed of Per-Country Data from the World Bank

Marktechpost

Large language models (LLMs) have gained significant attention for their impressive performance across various tasks, from summarizing news to writing code and answering trivia questions. Their effectiveness extends to real-world applications, with models like GPT-4 successfully passing legal and medical licensing exams. However, LLMs face two critical challenges: hallucination and performance disparities.

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A Survey of Advanced Retrieval Algorithms in Ad and Content Recommendation Systems: Mechanisms and Challenges

Marktechpost

Researchers from the University of Toronto present an insightful examination of the advanced algorithms used in modern ad and content recommendation systems. These systems drive user engagement and revenue generation in digital platforms. It explores various retrieval algorithms and their applications in ad targeting and content recommendation, shedding light on the mechanisms that power these systems and the challenges they face.

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Accelerating LLM Inference: Introducing SampleAttention for Efficient Long Context Processing

Marktechpost

Large language models (LLMs) now support very long context windows, but the quadratic complexity of standard attention results in significantly prolonged Time-to-First-Token (TTFT) latency. Existing methods to tackle this complexity require extra pretraining or finetuning and often compromise model accuracy. The quadratic nature of the vanilla attention mechanism in these models significantly increases computational time, making real-time interactions challenging.

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