Analytics Vidhya

AUGUST 10, 2024

Introduction Wow, it’s that time of the year again—placement season! Are you experiencing a sense of being trapped or feeling inundated while trying to find your way to your ideal data science job? Do not fret; you are not by yourself. Securing that ideal position may seem overwhelming, but using the right strategy can leave […] The post Tips and Tricks to Crack Campus Placement in Data Science appeared first on Analytics Vidhya.

Data Science 286

Data Science 286

Aiiot Talk

AUGUST 10, 2024

Maintaining strict temperature controls is paramount in cold chain logistics. The integrity of perishable goods, including food and pharmaceuticals, hinges on precise temperature management throughout the supply chain. However, traditional monitoring methods often fall short, leaving gaps that can lead to spoilage, financial losses and regulatory noncompliance.

Big Data 173

Big Data Algorithm Machine Learning AI 173

Marktechpost

AUGUST 10, 2024

The European Artificial Intelligence Act came into force on August 1, 2024. It is a significant milestone in the global regulation of artificial intelligence all over the world. It is the world’s first comprehensive milestone in terms of regulation of AI and reflects EU’s ambitions to establish itself as a leader in safe and trustworthy AI development The Genesis and Objectives of the AI Act The Act was first proposed by the EU Commission in April 2021 in the midst of growing concerns about the

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence AI AI 129

Aiiot Talk

AUGUST 10, 2024

With consumer demand climbing, regulations tightening and the cost of doing business rising, facilities must optimize their packaging line efficiency or face losing to their competition. Could automation powered by artificial intelligence be the solution they’re searching for? Why Facilities Need to Optimize Packaging Lines Online shopping’s popularity surged exceptionally high during COVID-19.

Automation 173

Automation Robotics Artificial Intelligence Artificial Intelligence 173

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

Marktechpost

AUGUST 10, 2024

Introduction: Code Large Language Models (CodeLLMs) have demonstrated remarkable proficiency in generating code. However, they struggle with complex software engineering tasks, such as developing an entire software system based on intricate specifications. Recent works, including ChatDev and MetaGPT, have introduced multi-agent frameworks for software development, where agents collaborate to achieve complex goals.

Software Development 132

Software Development Software Engineer Large Language Models AI 132

Marktechpost

AUGUST 10, 2024

Human reward-guided learning is often modeled using simple RL algorithms that summarize past experiences into key variables like Q-values, representing expected rewards. However, recent findings suggest that these models oversimplify the complexity of human memory and decision-making. For instance, individual events and global reward statistics can significantly influence behavior, indicating that memory involves more than just summary statistics.

Algorithm 124

Algorithm Explainability ML AI 124

Marktechpost

AUGUST 10, 2024

The development of autonomous agents capable of performing complex tasks across various environments has gained significant traction in artificial intelligence research. These agents are designed to interpret and execute natural language instructions within graphical user interface (GUI) environments, such as websites, desktop operating systems, and mobile devices.

LLM 122

LLM Python Categorization Artificial Intelligence 122

Marktechpost

AUGUST 10, 2024

The Qwen Team has recently released the Qwen 2-Math series. This release, encompassing several model variants tailored for distinct applications, demonstrates the team’s commitment to enhancing AI’s proficiency in handling complex mathematical tasks. The Qwen 2-Math series is a comprehensive set of models, each designed to cater to different computational needs.

Deep Learning 119

Deep Learning Natural Language Processing AI AI 119

Marktechpost

AUGUST 10, 2024

Large Language Models (LLMs) have significantly impacted software engineering, primarily in code generation and bug fixing. These models leverage vast training data to understand and complete code based on user input. However, their application in requirement engineering, a crucial aspect of software development, remains underexplored. Software engineers have shown reluctance to use LLMs for higher-level design tasks due to concerns about complex requirement comprehension.

Software Engineer 114

Software Engineer LLM Large Language Models Categorization 114

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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?

Business Intelligence

Marktechpost

AUGUST 10, 2024

Parler-TTS has emerged as a robust text-to-speech (TTS) library, offering two powerful models: Parler-TTS Large v1 and Parler-TTS Mini v1. Both models are trained on an impressive 45,000 hours of audio data, enabling them to generate high-quality, natural-sounding speech with remarkable control over various features. Users can manipulate aspects such as gender, background noise, speaking rate, pitch, and reverberation through simple text prompts, providing unprecedented flexibility in speech gen

ML 112

ML AI AI Artificial Intelligence 112

Marktechpost

AUGUST 10, 2024

Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning. Small Language Models: Precision and Efficiency Small language models, often characterized by fewer parameters and lower computational requirements, offer several advantages in terms of efficiency and practicality.

Natural Language Processing 106

Natural Language Processing Large Language Models NLP Machine Learning 106

Marktechpost

AUGUST 10, 2024

Multimodal generative models represent an exciting frontier in artificial intelligence, focusing on integrating visual and textual data to create systems capable of various tasks. These tasks range from generating highly detailed images from textual descriptions to understanding and reasoning across different data types. The advancements in this field are opening new possibilities for more interactive and intelligent AI systems that can seamlessly combine vision and language.

AI 106

AI AI Artificial Intelligence Artificial Intelligence 106

Marktechpost

AUGUST 10, 2024

Generative Large Language Models (LLMs) have become an essential part of many applications due to their quick growth and widespread use. LLM inference clusters manage a massive stream of queries, each with strict Service Level Objectives (SLOs) that must be fulfilled to guarantee adequate performance, as these models have become more integrated into different services.

Large Language Models 101

Large Language Models Artificial Intelligence Artificial Intelligence LLM 101

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

AI

Marktechpost

AUGUST 10, 2024

Unit testing aims to identify and resolve bugs at the earliest stages by testing individual components or units of code. This process ensures software reliability and quality before the final product is delivered. Traditional methods of unit test generation, such as search-based, constraint-based, and random-based techniques, have been utilized to automate the creation of unit tests.

LLM 88

LLM Automation ChatGPT Large Language Models 88