A team at the MIT Lincoln Laboratory Supercomputing Center (LLSC) is developing techniques to reduce energy consumption in data centers, specifically in relation to artificial intelligence (AI) models. Their methods include power capping hardware and stopping AI training early, with minimal impact on model performance. The team hopes their work will inspire other data centers…
This article discusses how organizations can use Amazon Comprehend, an AI/ML service, to build and optimize custom classification models. It provides guidelines on data preparation, model creation, and model tuning. The article also explores techniques for handling underrepresented data classes and mentions the cost of using Amazon Comprehend.
Large language models (LLMs) like Llama 2 have gained popularity among developers, scientists, and executives. Llama 2, recently released by Meta, can be fine-tuned on AWS Trainium to reduce training time and cost. The model uses the Transformer’s decoder-only architecture, has three sizes, and pre-trained models are trained on 2 trillion tokens. Distributed training is…
The post discusses the importance of data analytics in today’s data-driven world and recommends obtaining a Data Analytics Certification as a valuable and indispensable tool for success and innovation in various industries.
AI has revolutionized the marketing landscape, offering insights, predictive analytics, and personalized customer experiences. AI marketing tools help save time, increase efficiency, and optimize efforts. AI can analyze customer data, personalize content, generate content ideas, and make real-time decisions. Seven AI tools for marketing strategy include Adzooma, Jasper AI, HubSpot, Murf AI, Adobe Sensei, ClickUp,…
Researchers from ETH Zurich and Microsoft introduce SCREWS, a modular framework for improving reasoning in Large Language Models (LLMs). The framework includes three core components: Sampling, Conditional Resampling, and Selection. By combining different techniques, SCREWS improves the accuracy of LLMs in tasks such as question answering, arithmetic reasoning, and code debugging. The framework also emphasizes…
Bark is an open-source AI model created by Suno.ai that can generate realistic, multilingual speech with background noise, music, and sound effects. Unlike typical TTS engines, Bark produces highly natural-sounding audio using a GPT-style architecture.
AI plays a significant role in customizing and enhancing the process of product packaging. In this age of personalization, companies that utilize AI can take advantage of its capabilities to influence and improve personalized packaging solutions.
The article discusses recent advancements in the field of Multimodal AI. It highlights the integration of DALLE 3 into ChatGPT, enabling the generation of comprehensive images based on user prompts. It also mentions the enhancements made to Google BARD through extensions, allowing it to fetch and display information from various Google apps. Other AI models…
This article discusses the challenges of keeping up with the rapidly evolving field of machine learning. It suggests a balanced and continuous approach to learning and highlights a selection of articles that cover both fundamental and cutting-edge topics in the field. The highlighted articles include discussions on feature interactions in model predictions, benchmarking machine learning…
This article explores Large Language Models (LLMs) and their growing importance in natural language processing and understanding. LLMs are known for their ability to generate text that is comparable to human creativity and clarity. It provides a beginner’s roadmap to understanding LLMs.
Researchers have developed AnyMAL, a groundbreaking multimodal language model that enables machines to understand and generate human language in conjunction with various sensory inputs. AnyMAL integrates visual, auditory, and motion cues, allowing for a shared understanding of the world through sensory perceptions. The model demonstrates strong performance in tasks such as creative writing, practical recommendations,…
Generative AI has revolutionized the healthcare industry, particularly in enhancing patient experience. It offers several use cases, such as personalized treatment plans based on patient data, generating synthetic data for research, enhancing medical imaging quality, creating tailored educational materials, developing virtual health assistants, and accelerating drug discovery. However, it is important to address potential risks…
GlueGen is a new framework introduced by Salesforce AI that aims to enhance text-to-image (T2I) models by aligning single-modal or multimodal encoders with existing models. It addresses the challenge of modifying or enhancing T2I models and enables multi-language support and sound-to-image generation. GlueGen aligns diverse feature representations, including multilingual language models and multi-modal encoders, to…
This article discusses the increasing demand for data analysts in various sectors in the USA, such as cell phone service, insurance policy, marketing, banking, medical care, and technology. It provides guidance on becoming a data analyst.
Cloglog regression is a statistical modeling technique used to analyze binary response variables. It is an alternative to logistic regression in special scenarios where the probability of an event is very small or very large. Cloglog regression generates an S-shaped curve that is asymmetrical and skewed to one side. It can be used in various…
This article provides a step-by-step tutorial on how to create an interactive dashboard in Excel using the Superstore dataset from Tableau. It covers topics such as creating pivot tables, pivot charts, maps, slicers, and formatting techniques to enhance the aesthetics and readability of the dashboard. The tutorial aims to help users develop their own interactive…
A recent article discusses research on categorizing human facial images by emotions using deep neural networks. However, accurately classifying non-face images remains challenging. A Japanese research team proposes a new method that utilizes a modified projection discriminator within a class-conditional generative adversarial network to effectively distinguish between facial and non-face images. The method shows superior…
This article discusses the growing popularity of data science as a career choice, particularly among young professionals. It highlights that while the term “Data Science” has been around since the 1970s, it only gained widespread attention in 2008. The article is titled “How to Become a Data Scientist After the 12th Standard?” and is from…
DynIBaR, an innovative AI technique introduced by Google and Cornell researchers at CVPR 2023, generates realistic free-viewpoint renderings from a single video captured with a phone camera. It offers various video effects such as bullet time effects, video stabilization, depth of field adjustments, and slow-motion capabilities. The technique is scalable to long and complex dynamic…