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Top Stories
- Scaling understanding with the help of feedback loops, knowledge graphs and NLP
March 4, 2024
by Alan Morrison
Assisted annotation and other automation methods that can be used for knowledge graph creation and natural language understanding should be more flexible and iterative than they often are. Much depends on the architecture and tooling choices your organization makes. - New Book: Practical GenAI and Machine Learning – Projects and Datasets
February 29, 2024
by Vincent Granville
This book is for participants in my AI and machine learning certification program. However, it is now free and available to everyone. With tutorials, enterprise-grade projects and solutions, it covers state-of-the-art material on topics such as generative adversarial networks (GAN), specialized LLM, data synthetization, as well as classical machine learning. - GenAI: The User Interface to Artificial Intelligence (AI)?
March 3, 2024
by Bill Schmarzo
Generative AI (GenAI) Chatbots like Microsoft Copilot (formerly Bing AI), Google’s Gemini (formerly Google Bard), and OpenAI ChatGPT (still OpenAI ChatGPT) are driving extraordinary productivity improvements by assisting knowledge workers in providing highly relevant information, answering questions, and engaging in wide-ranging exploratory conversations.
In-Depth
- Future of LLM application development – impact of Gemini 1.5 Pro with a 1M context window
March 5, 2024
by ajitjaokar
Current LLM applications are mostly based on langchain or llamaindex. langChain and LlamaIndex are frameworks designed for LLM development. They each cater to different use cases with unique features. LangChain is a framework ideal for creating data-aware and agent-based applications. - Open source LLMs – no more than a marketing term?
March 5, 2024
by ajitjaokar
This week, the tech community has been abuzz with the announcement of the latest model from Mistral being closed source. This revelation confirms a suspicion held by many: the concept of open-source Large Language Models (LLMs) today is more a marketing term than a substantive promise. - Data Cleaning in Python vs. Data Quality Tools
March 5, 2024
by Ovais Naseem
In the era of big data, the importance of clean and high-quality data cannot be overstated. Data cleaning is a crucial step in the data preprocessing pipeline, aimed at identifying and rectifying errors, inconsistencies, and inaccuracies in datasets. Traditionally, data cleaning has been performed using Python and other programming languages. - Leveraging machine learning for predictive analysis in customer satisfaction surveys
March 1, 2024
by John Lee
The dynamic landscape of customer-centric businesses requires understanding and improving customer satisfaction. Traditional survey analysis rarely yields real-time actionable insights. However, machine learning (ML) predictive analysis allows organizations to use advanced algorithms to transform customer satisfaction surveys. ML predictive analysis is changing how businesses measure and improve customer satisfaction. - Mobile drivers’ licenses: A humbler take on self-sovereign identity and personal data protection
March 1, 2024
by Alan Morrison
I’ve been interested in self-sovereign identity for a number of years now, ever since I interviewed Phil Windley, a founder of the Internet Identity Workshop (IIW) and then chair of the Sovrin Foundation, in 2018. In a self-sovereign identity (SSI) scenario, the users themselves control the sensitive information previously stored by a third party. - Optimizing logistics operations with technology implementation
February 29, 2024
by Manoj Kumar
In today’s fast-paced business terrain, optimizing logistics operations has become more pivotal than ever. With increasing competition and rising client prospects, companies are under pressure to deliver products directly and quickly. The capability to effectively manage and streamline the movement of goods and products has a direct impact on client satisfaction, cost-effectiveness, and overall functional success. - DSC Weekly 27 February 2024
February 27, 2024
by Scott Thompson
Read more of the top articles from the Data Science Central community.
