Learn how to create a custom AI using OpenAI's Assistants and Fine-tuning APIs in this step-by-step guide. Build an AI assistant with knowledge retrieval capabilities, like a YouTube comment responder, using the Assistants API.
Recommender systems generate significant revenue, with Amazon and Netflix relying heavily on product recommendations. This article explores the use of controlled vocabularies and LLMs to improve similarity models in recommender systems, finding that a controlled vocabulary enhances outcomes and building a genre list using an LLM is easy but creating a detailed taxonomy is challenging.
Google has renamed its AI assistant Bard to Gemini and launched its most capable AI model, Ultra 1.0, as part of a $20/month subscription feature. The nomenclature and accessing the new model can be confusing, but it offers different AI "engines" for enhanced performance.
The article "Principal Component Analysis (PCA) from Scratch Using the Classical Technique with C#" in Microsoft Visual Studio Magazine explains how PCA can reduce the number of columns in a dataset and its applications in machine learning algorithms. It also discusses the difficulty of computing eigenvalues and eigenvectors and provides a demo using a subset of the Iris dataset.
This article explores three key encoding techniques for machine learning: label encoding, one-hot encoding, and target encoding. It provides a beginner-friendly guide with pros, cons, and Python code examples to help data scientists understand and implement these techniques effectively.
Automate mortgage document fraud detection using ML models and business-defined rules with Amazon Fraud Detector, a fully managed fraud detection service. Upload historical data, train the model, review performance, and deploy the API to make predictions for improved fraud detection and underwriting accuracy.
Meta, the parent company of Facebook, plans to label AI-generated images from other companies like OpenAI and Google to enhance transparency on platforms like Facebook and Instagram. The move comes during a contentious US election year and is part of a larger effort to establish standards for labeling content created using generative AI models.
The MIT-Pillar AI Collective announces six fellows for spring 2024, supporting graduate students conducting research in AI, machine learning, and data science to commercialize their innovations. Fellows include Yasmeen AlFaraj, working on sustainable plastics, and Ruben Castro Ornelas, designing multipurpose robots with AI control.
The pharmaceutical industry generated $550 billion in US revenue in 2021, with a projected cost of $384 billion for pharmacovigilance activities by 2022. To address the challenges of monitoring adverse events, a machine learning-driven solution using Amazon SageMaker and Hugging Face's BioBERT model is developed, providing automated detection from various data sources.
The article discusses the practical lessons learned from upgrading the Bed-Reader bioinformatics library to read DNA data directly from the cloud. The author provides nine rules for adding cloud-file support to programs, including using the object_store crate and creating a new crate called cloud-file.
Accenture has developed an AI-based solution using AWS services to automate the labor-intensive process of creating Common Technical Documents (CTDs) for pharmaceutical companies. This solution reduces authoring time by 40-45% and accelerates new product approvals, benefiting patients.
This article highlights Mr_Vudoo, a digital renaissance man and featured artist in the NVIDIA Studio, who recently acquired a GeForce RTX 4080 SUPER graphics card to enhance his content creation. Additionally, Topaz Labs has adopted NVIDIA TensorRT acceleration for its AI-powered Remove Tool, delivering faster processing compared to other devices.
A new study by the ITIF calls for governments to adopt AI to drive energy efficiency across industries, citing examples such as farmers using AI to reduce fertilizer and water usage, and factories deploying it to increase energy efficiency. The study's author emphasizes the need for policymakers to not hold back beneficial uses of AI, especially in regulated areas like healthcare.
Amazon SageMaker Canvas, launched in 2021, offers a code-free approach to building and deploying machine learning models. The latest updates introduce new generative AI capabilities, including support for Meta Llama 2 and Mistral.AI models, making it easier for users to harness the power of AI without writing code.
Unveiling the Power of Imperceptible Watermarks: Safeguarding Art and Detecting AI-Generated Content
Imperceptible watermarks offer a way to protect digital content without compromising quality, allowing creators to assert ownership and detect AI-generated content. Tech companies like Meta and Google are developing breakthrough watermarking systems to mitigate the overflow of dangerous AI-generated content on the internet.