Marktechpost

JUNE 22, 2024

The integration of AI in clinical pathology faces challenges due to data constraints and concerns over model transparency and interoperability. AI and ML algorithms have shown significant advancements in tasks such as cell segmentation, image classification, and prognosis prediction in digital pathology. Despite outperforming pathologists in specific functions like predicting colorectal carcinoma microsatellite instability, regulatory hurdle,s and ethical considerations hinder their widespread c

Artificial Intelligence 137

Artificial Intelligence Artificial Intelligence ML Python 137

Towards AI

JUNE 22, 2024

Last Updated on June 24, 2024 by Editorial Team Author(s): Milan Tamang Originally published on Towards AI. Want to Learn Quantization in The Large Language Model? 1. Image by writer: Flow shows the need for quantization. (The happy face and angry face image is by Yan Krukau, [link] Before I explain the diagram above, let me begin with the highlights that you’ll be learning in this post.

Large Language Models 93

Large Language Models LLM Deep Learning Explainability 93

Marktechpost

JUNE 22, 2024

Ensuring the safety and ethical behavior of large language models (LLMs) in responding to user queries is of paramount importance. Problems arise from the fact that LLMs are designed to generate text based on user input, which can sometimes lead to harmful or offensive content. This paper investigates the mechanisms by which LLMs refuse to generate certain types of content and develops methods to improve their refusal capabilities.

Large Language Models 133

Large Language Models LLM ML Artificial Intelligence 133

Marktechpost

JUNE 22, 2024

Neural networks, despite their theoretical capability to fit training sets with as many samples as they have parameters, often fall short in practice due to limitations in training procedures. This gap between theoretical potential and practical performance poses significant challenges for applications requiring precise data fitting, such as medical diagnosis, autonomous driving, and large-scale language models.

Neural Network 132

Neural Network AI Research AI Researcher Algorithm 132

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

JUNE 22, 2024

Factory AI has released its latest innovation, Code Droid , a groundbreaking AI tool designed to automate and accelerate software development processes. This release signifies a significant advancement in artificial intelligence and software engineering. Introduction to Code Droid Code Droid is an autonomous system engineered to execute various coding tasks based on natural language instructions.

Automation 119

Automation Software Engineer Software Development Large Language Models 119

Marktechpost

JUNE 22, 2024

Machine learning has achieved remarkable advancements, particularly in generative models like diffusion models. These models are designed to handle high-dimensional data, including images and audio. Their applications span various domains, such as art creation and medical imaging, showcasing their versatility. The primary focus has been on enhancing these models to better align with human preferences, ensuring that their outputs are useful and safe for broader applications.

Machine Learning 104

Machine Learning ML Computer Vision Artificial Intelligence 104

Marktechpost

JUNE 22, 2024

Decision-making is critical for organizations, involving data analysis and selecting the most suitable alternative to achieve specific goals. In business scenarios like pharmaceutical distribution networks, companies face complex decisions such as determining which plants to operate, how many employees to hire, and optimizing production costs while ensuring timely delivery.

Large Language Models 104

Large Language Models Data Analysis Natural Language Processing Data Extraction 104

Marktechpost

JUNE 22, 2024

Roboflow’s Supervision tool is a robust and versatile resource that caters to various computer vision needs. From loading datasets to drawing detections and counting items within a zone, Supervision provides essential functionalities to streamline and enhance these processes. Let’s delve into Supervision’s comprehensive features, installation methods, and practical applications, emphasizing its utility in modern computer vision projects.

Computer Vision 103

Computer Vision Python Continuous Learning Artificial Intelligence 103

Marktechpost

JUNE 22, 2024

In decision-making, habitual behavior has always been seen as separate from goal-directed behavior. Habitual behaviors are automatic responses, deeply ingrained through experience. Like riding a bike or reaching for your coffee cup in the morning, they required little to no conscious thought. In contrast, goal-directed behavior requires deliberate planning and action to achieve a specific outcome, like finding a new route for the office because of traffic.

ML 101

ML Artificial Intelligence Artificial Intelligence Machine Learning 101

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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

JUNE 22, 2024

Large Language Models (LLMs) have revolutionized natural language processing, demonstrating exceptional performance on various benchmarks and finding real-world applications. However, the autoregressive training paradigm underlying these models presents significant challenges. Notably, the sequential nature of autoregressive token generation results in slow processing speeds, limiting the models’ efficiency in high-throughput scenarios.

Large Language Models 98

Large Language Models Natural Language Processing Algorithm ML 98

Marktechpost

JUNE 22, 2024

LLMs like ChatGPT and Gemini demonstrate impressive reasoning and answering capabilities but often produce “hallucinations,” meaning they generate false or unsupported information. This problem hampers their reliability in critical fields, from law to medicine, where inaccuracies can have severe consequences. Efforts to reduce these errors through supervision or reinforcement have seen limited success.

LLM 93

LLM Computational Semantics ChatGPT ML 93