[[{“value”:” As of this writing, Ghana ranks as the 27th most polluted country in the world, facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation… Read More »Improving air quality with generative AI Sandra Topic AWS Machine Learning Blog
[[{“value”:” Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an… Read More »Use zero-shot large language models on Amazon Bedrock for custom named entity recognition Sujitha Martin AWS Machine Learning Blog
[[{“value”:” In the rapidly evolving digital landscape, travel companies are exploring innovative approaches to enhance customer experiences. One promising solution is the integration of generative artificial intelligence (AI) to create virtual travel agents. These AI-powered assistants use large language models (LLMs) to engage in natural… Read More »Safeguard a generative AI travel agent with prompt engineering and Guardrails for Amazon Bedrock Antonio Rodriguez AWS Machine Learning Blog
[[{“value”:” Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on… Read More »Streamline financial workflows with generative AI for email automation Hariharan Nammalvar AWS Machine Learning Blog
[[{“value”:” Nvidia recently announced the release of two groundbreaking technologies in artificial intelligence: HelpSteer2 and Llama3-70B-SteerLM-RM. These innovations promise to significantly enhance the capabilities of AI systems in various applications, from autonomous driving to natural language processing. Image Source [Dated 18th June 2024] HelpSteer2: Revolutionizing… Read More »NVIDIA AI Releases HelpSteer2 and Llama3-70B-SteerLM-RM: An Open-Source Helpfulness Dataset and a 70 Billion Parameter Language Model Respectively Asif Razzaq Artificial Intelligence Category – MarkTechPost
September 24–26 2024 Chatbot Conference 2024 Chatbot Enthusiasts, We are excited to announce that the Chatbot Conference 2024 is officially open for registration! Join us for an exciting three-day event in San Francisco from September 24th to 26th, where industry leaders, developers, and innovators will… Read More »Chatbot Conference Coming to San Francisco Stefan Kojouharov Chatbots Life – Medium
[[{“value”:” Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that… Read More »How to Fix ‘AI’s Original Sin’ Tim O’Reilly AI & ML – Radar
[[{“value”:” Large language models (LLMs) have made significant strides in handling multiple modalities and tasks, but they still need to improve their ability to process diverse inputs and perform a wide range of tasks effectively. The primary challenge lies in developing a single neural network… Read More »Apple Releases 4M-21: A Very Effective Multimodal AI Model that Solves Tens of Tasks and Modalities Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” In supervised multi-modal learning, data is mapped from various modalities to a target label using information about the boundaries between the modalities. Different fields have been interested in this issue: autonomous vehicles, healthcare, robots, and many more. Although multi-modal learning is a fundamental paradigm… Read More »NYU Researchers Propose Inter- & Intra-Modality Modeling (I2M2) for Multi-Modal Learning, Capturing both Inter-Modality and Intra-Modality Dependencies Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
[[{“value”:” If you’re looking to make a career in data science, you probably know that machine learning is one of the most in-demand skills. Whether you are a beginner looking to break into the field or an experienced professional aiming to level up your expertise,… Read More »Tips for Choosing the Right Machine Learning Course Bala Priya C MachineLearningMastery.com