Analytics Vidhya

JULY 7, 2024

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.

Artificial Intelligence 322

Artificial Intelligence Artificial Intelligence AI AI 322

Unite.AI

JULY 7, 2024

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.

AI Tools 162

AI Tools AI AI Computer Vision 162

Analytics Vidhya

JULY 7, 2024

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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Marktechpost

JULY 7, 2024

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.

Large Language Models 139

Large Language Models LLM Artificial Intelligence Artificial Intelligence 139

Speaker: Jay Allardyce

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.

Business Intelligence

Artificial Lawyer

JULY 7, 2024

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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Machine Learning Research at Apple

JULY 7, 2024

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.

Neural Network 52

Neural Network Deep Learning 52

Marktechpost

JULY 7, 2024

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).

Large Language Models 133

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 133

Machine Learning Research at Apple

JULY 7, 2024

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.

Large Language Models 52

Large Language Models 52

Marktechpost

JULY 7, 2024

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.

Robotics 128

Robotics Algorithm ML Machine Learning 128

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TheSequence

JULY 7, 2024

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.

LLM 111

LLM Generative AI Big Data ML 111

Marktechpost

JULY 7, 2024

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.

ChatGPT 125

ChatGPT Natural Language Processing Artificial Intelligence Artificial Intelligence 125

Robot Writers AI

JULY 7, 2024

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

ChatGPT 52

ChatGPT AI AI Explainability 52

Marktechpost

JULY 7, 2024

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.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Machine Learning Data Science 123

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.

Generative AI

Marktechpost

JULY 7, 2024

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.

Natural Language Processing 116

Natural Language Processing Large Language Models Categorization LLM 116

Marktechpost

JULY 7, 2024

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.

Neural Network 109

Neural Network Artificial Intelligence Artificial Intelligence Robotics 109

Marktechpost

JULY 7, 2024

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.

Neural Network 114

Neural Network Explainability Deep Learning Machine Learning 114

Marktechpost

JULY 7, 2024

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.

LLM 109

LLM Large Language Models Categorization Automation 109

Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Marktechpost

JULY 7, 2024

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

Robotics 113

Robotics Neural Network Automation Data Quality 113

Marktechpost

JULY 7, 2024

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.

Algorithm 106

Algorithm Neural Network Metadata Large Language Models 106

Marktechpost

JULY 7, 2024

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.

LLM 104

LLM Large Language Models ML Artificial Intelligence 104