Build a chat application using LangChain, LLMs, and Streamlit to interact with a complex SQL database. Enhance the chatbot's ability to make SQL queries and provide a user-friendly interface with memory features using Streamlit.
Companies of all sizes are reaching levels of data scale previously reserved for giants like Netflix and Uber. Data streaming and data orchestration have become crucial aspects of building a modern data platform.
Canadian Prime Minister Justin Trudeau is cracking down on car theft by targeting the Flipper Zero, an open source hardware used to steal vehicles by copying wireless signals. The Innovation, Science and Economic Development Canada agency plans to ban the device and collaborate with law enforcement agencies to remove it from the Canadian marketplace.
AI surveillance software was used to monitor thousands of people on the London Underground, looking for aggressive behavior, weapons, and unsafe situations. Transport for London tested 11 algorithms, generating over 44,000 alerts, marking the first time AI and live video footage were combined for real-time alerts to staff.
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.
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.
Hector Xu, a former MIT student, founded Rotor Technologies to make helicopter flight safer by retrofitting existing helicopters with autonomous technology. Rotor's autonomous aircraft can fly faster and longer than drones and are already conducting demo flights.
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.
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.
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.
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.
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.
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.