Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Customer success stories illuminate how hardware accelerators speed necessary infrastructure to support all aspects of an accelerated AI and HPC computing datacenter.
Without using any API or any Python library, yet delivering better results. You would think this is a massive undertaking. However, it took me less… Read More »Why and How I Created my Own LLM from Scratch
When people talk about Large Language Models, the most common topics are text summarization, text generation, and answering prompts with GPT. Yet, this is just… Read More »GenAI: Synthesizing DNA Sequences with LLM Techniques
GPT can be a great tool to write or summarize articles, and as a chatbot. But one of the most popular uses is to find… Read More »The Best Kept Secret About LLMs
After playing with GPT for some time, testing GenAI vendor solutions, designing my own, and reading feedback from other users, I uncovered a number of… Read More »Towards Better GenAI: 5 Major Issues, and How to Fix Them
Given how quickly the digital marketing industry changes, keeping up with the most recent trends and technologies can be challenging. Traditional marketing techniques are no… Read More »Machine learning in marketing: 10 use cases and implementation tips
In the last two years, I published 5 machine learning and AI books, including one on synthetic data by Elsevier. This represents over 800 pages… Read More »New Book: Statistical Optimization for GenAI and Machine Learning
Stock trading is an industry that has greatly benefited from artificial intelligence (AI). AI algorithms in stock trading have enabled traders to make better decisions… Read More »Artificial Intelligence: Making waves in the stock market
The two most prominent technologies that have been making waves in the AI industry are Conversational AI and Generative AI. They have revolutionized the manner… Read More »A complete guide: Conversational AI vs. generative AI
Ever-growing volumes of unstructured data stored in countless document formats significantly complicate data processing and timely access to relevant information for organizations. Without proper optimization of data management workflows, it’s difficult to talk about business growth and scaling. That is why progressive companies opt for intelligent document processing powered by artificial intelligence.
