Analytics Vidhya

AUGUST 31, 2024

Introduction This week, the AI field saw significant updates as top companies unveiled new models and tools. AI21 Labs launched Jamba 1.5, AnthropicAI improved Claude 3, and Bindu Reddy introduced Dracarys, a coding-focused model. Researchers also made strides in prompt optimization and hybrid architectures, highlighting ongoing advancements that are set to transform AI capabilities and […] The post AV Bytes: New Models, Research Advances, and Regulatory Debates appeared first on Analytics

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AI AI 143

Marktechpost

AUGUST 31, 2024

Large Language Models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a significant challenge: hallucinations, where the models generate responses that are not grounded in the source material. This issue undermines the reliability of LLMs and makes hallucination detection a critical area of research.

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Large Language Models Categorization LLM Explainability 129

databricks

AUGUST 31, 2024

To operate with the speed, efficiency and productivity that companies are seeking, more employees need accurate, quick and tailored answers to questions about.

Business Intelligence 90

Business Intelligence AI AI 90

Marktechpost

AUGUST 31, 2024

Cartesia AI has made a notable contribution with the release of Rene , a 1.3 billion-parameter language model. This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). By leveraging a massive dataset and cutting-edge architecture, Rene stands poised to contribute to various applications, from text generation to complex language understanding tasks.

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Natural Language Processing NLP Deep Learning AI 128

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

databricks

AUGUST 31, 2024

The Databricks Marketplace continues to expand and now includes more than 230 data providers and over 2,200 listings. We recently added over forty.

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Machine Learning Mastery

AUGUST 31, 2024

At its core, Stable Diffusion is a deep learning model that can generate pictures. Together with some other models and UI, you can consider that as a tool to help you create pictures in a new dimension that not only you can provide instructions on how the picture looks like, but also the generative model […] The post Interior Design with Stable Diffusion (7-day mini-course) appeared first on MachineLearningMastery.com.

Deep Learning 53

Deep Learning 53

Marktechpost

AUGUST 31, 2024

Deep neural network training can be sped up by Fully Quantised Training (FQT), which transforms activations, weights, and gradients into lower precision formats. The training procedure is more effective with the help of the quantization process, which enables quicker calculation and lower memory utilization. FQT minimizes the numerical precision to the lowest possible level while preserving the training’s efficacy.

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Neural Network AI Research AI Researcher Algorithm 119

Marktechpost

AUGUST 31, 2024

Training a model now requires more memory and computing power than a single accelerator can provide due to the exponential growth of model parameters. The effective usage of combined processing power and memory across a large number of GPUs is essential for training models on a big scale. Getting many identical high-end GPUs in a cluster usually takes a considerable amount of time.

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BERT Big Data Algorithm ML 69

Marktechpost

AUGUST 31, 2024

The field of large language models (LLMs) has seen tremendous advancements, particularly in expanding their memory capacities to process increasingly extensive contexts. These models can now handle inputs with over 100,000 tokens, allowing them to perform highly complex tasks such as generating long-form text, translating large documents, and summarizing extensive data.

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Large Language Models AI Research AI Researcher ML 64

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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 31, 2024

In e-commerce, product descriptions are more than just a few lines of text; they are a critical component of the sales funnel. With the rising reliance on digital platforms for shopping, businesses must ensure that their product descriptions capture potential buyers’ attention and rank highly on search engines. This is where ChatGPT becomes a valuable asset.

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ChatGPT Automation Artificial Intelligence Artificial Intelligence 64

Marktechpost

AUGUST 31, 2024

Cognitive biases, once seen as flaws in human decision-making, are now recognized for their potential positive impact on learning and decision-making. However, in machine learning, especially in search and ranking systems, the study of cognitive biases still needs to be improved. Most of the focus in information retrieval is on detecting biases and evaluating their effect on search behavior despite several researches focused on exploring how these biases can influence model training and ethical

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Algorithm Machine Learning ML AI 59

Marktechpost

AUGUST 31, 2024

Introducing Cheshire Cat , a newly developed framework designed to simplify the creation of custom AI assistants on top of any language model. Similar to how WordPress or Django serves as a tool for building web applications, Cheshire Cat offers developers a specialized environment for developing and deploying AI-driven solutions. This framework is particularly aimed at those who need a flexible, production-ready solution that integrates easily with existing systems.

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Python AI AI AI Development 59

Marktechpost

AUGUST 31, 2024

Soil Health Monitoring through Microbiome-Based Machine Learning: Soil health is critical for maintaining agroecosystems’ ecological and commercial value, requiring the assessment of biological, chemical, and physical soil properties. Traditional methods for monitoring these properties can be expensive and impractical for routine analysis. However, the soil microbiome offers a rich source of information that can be analyzed cost-effectively using high-throughput sequencing.

Machine Learning 64

Machine Learning Categorization ML Algorithm 64

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 31, 2024

Multi-agent systems involving multiple autonomous agents working together to accomplish complex tasks are becoming increasingly vital in various domains. These systems utilize generative AI models combined with specific tools to enhance their ability to tackle intricate problems. By distributing tasks among specialized agents, multi-agent systems can manage more substantial workloads, offering a sophisticated approach to problem-solving that extends beyond the capabilities of single-agent system

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