Aiiot Talk

MAY 18, 2024

Customer relationship management (CRM) software is a crucial tool for small businesses in any industry. These platforms help you track your sales, churn rate and other customer interactions across their entire life cycle. This insight is a huge advantage in marketing and sales, and Internet of Things (IoT) connectivity can take it even further. Integrating the IoT into your CRM strategy could allow you to use extensive data for more in-depth customer insights.

Robotics 130

Robotics Artificial Intelligence Artificial Intelligence Automation 130

Marktechpost

MAY 18, 2024

The recent Yi-1.5-34B model introduced by 01.AI has brought about yet another advancement in the field of Artificial Intelligence. Positioned as a major improvement over its predecessors, this unique model bridges the gap between Llama 3 8B and 70B. It promises better performance in a number of areas, such as multimodal capability, code production, and logical reasoning.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence Machine Learning AI 131

Salmon Run

MAY 18, 2024

Last month, I decided to sign-up for the Google AI Hackathon, where Google provided access to their Gemini Large Language Model (LLM) and tasked participants with building a creative application on top of it. I have worked with Anthropic's Claude and OpenAI's GPT-3 at work previously, and I was curious to see how Gemini stacked up against them.

Large Language Models 59

Large Language Models LLM OpenAI AI 59

Marktechpost

MAY 18, 2024

The artificial intelligence and machine learning world has witnessed rapid advancements, with OpenAI at the forefront of these innovations. One of the latest developments is the release of GPT-4o, an optimized version of the highly acclaimed GPT-4. Let’s delve into the key updates in GPT-4o, compare it with its predecessor, and present a comparative table highlighting the differences.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence Natural Language Processing OpenAI 131

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

AI

Marktechpost

MAY 18, 2024

Machine Learning (ML) is everywhere these days, playing a crucial role in countless fields worldwide. Its applications are endless, and we rely on it more than ever. As ML models become more complex, it becomes more challenging to understand and interpret them. Understanding complex machine learning models, especially those with many layers and intricate connections, makes it easier to track potential issues and the scope of improvement in the hypothesis.

Machine Learning 119

Machine Learning Neural Network ML Artificial Intelligence 119

Marktechpost

MAY 18, 2024

Accurate propagation modeling is paramount for effective radio deployments, coverage analysis, and interference mitigation in wireless communications. Path loss modeling, a widely adopted approach, enables generic predictions of signal power attenuation along wireless links, equipping network planners with essential insights into physical layer attributes.

Machine Learning 111

Machine Learning Neural Network ML Artificial Intelligence 111

Marktechpost

MAY 18, 2024

State-space models (SSMs) are crucial in deep learning for sequence modeling. They represent systems where the output depends on both current and past inputs. SSMs are widely applied in signal processing, control systems, and natural language processing. The main challenge is the inefficiency of existing SSMs, particularly regarding memory and computational costs.

Natural Language Processing 111

Natural Language Processing Deep Learning AI AI 111

Marktechpost

MAY 18, 2024

Machine learning models, which can contain billions of parameters, require sophisticated methods to fine-tune their performance efficiently. Researchers aim to enhance the accuracy of these models while minimizing the computational resources needed. This improvement is crucial for practical applications in various domains, such as natural language processing & artificial intelligence, where efficient resource utilization can significantly impact overall performance and feasibility.

Large Language Models 111

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 111

Marktechpost

MAY 18, 2024

Data mapping is a critical process in data management, enabling the integration and transformation of data from various sources into a unified format. The concept of data mapping as a search problem provides a unique perspective on efficiently and effectively discovering mappings between data sources. Let’s explore the foundational concepts, challenges, methodologies, and future directions in the realm of data mapping viewed through the lens of search.

Machine Learning 105

Machine Learning Data Integration Algorithm Automation 105

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

LLM

Marktechpost

MAY 18, 2024

Although recent multimodal foundation models are extensively utilized, they tend to segregate various modalities, typically employing specific encoders or decoders for each. This approach constrains their capacity to fuse information across modalities effectively and produce multimodal documents comprising diverse sequences of images and text. Consequently, there’s a limitation in their ability to seamlessly integrate different types of content within a single document.

Machine Learning 130

Machine Learning AI AI ML 130

Marktechpost

MAY 18, 2024

As Artificial Intelligence (AI) systems advance, a fascinating trend has emerged: their representations of data across different architectures, training objectives, and even modalities seem to be converging. Researchers have put forth, as shown in Figure 1, a thought-provoking hypothesis to explain this phenomenon called the “Platonic Representation Hypothesis.” At its core, this hypothesis posits that various AI models strive to capture a unified representation of the underlying rea

Neural Network 105

Neural Network Large Language Models Artificial Intelligence Artificial Intelligence 105