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New tools are available to help reduce the energy that AI models devour
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…
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Improve prediction quality in custom classification models with Amazon Comprehend
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.
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Fast and cost-effective LLaMA 2 fine-tuning with AWS Trainium
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…
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Top 5 Data Analytics Certifications
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.
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How to create a digital marketing strategy with AI
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,…
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Researchers from ETH Zurich and Microsoft Introduce SCREWS: An Artificial Intelligence Framework for Enhancing the Reasoning in Large Language Models
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…
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How to Generate Audio Using Text-to-Speech AI Model Bark
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.
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Personalized Packaging Solutions: AI’s Role in Customization
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.
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Latest Advancements in the Field of Multimodal AI: (ChatGPT + DALLE 3) + (Google BARD + Extensions) and many more….
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…
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Machine Learning Must-Reads: Fall Edition
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…