Subscribe • Previous Issues The Promise and Progress of Generative AI One year after ChatGPT’s launch, generative AI is gaining mainstream traction. Large language models (LLMs) like GPT-4 are being adopted across diverse real-world applications, from chatbots to computer programming to medicine and law. The speed of adoption has been remarkable – shortly after the release ofContinue reading “Generative AI 2023: Why This Year Marks a Major Turning Point”
Tag Archives: newsletter
Charting the Graphical Roadmap to Smarter AI
Subscribe • Previous Issues Boosting LLMs with External Knowledge: The Case for Knowledge Graphs When we wrote our post on Graph Intelligence in early 2022, our goal was to highlight techniques for deriving insights about relationships and connections from structured data using graph analytics and machine learning. We focused mainly on business intelligence and machine learning applications,Continue reading “Charting the Graphical Roadmap to Smarter AI”
Best Practices in Retrieval Augmented Generation
Subscribe • Previous Issues Techniques, Challenges, and Future of Augmented Language Models After attending several conferences in the past month, it’s evident that Retrieval Augmented Generation (RAG) has emerged as one of the most popular techniques in AI over the past year, widely adopted by many AI teams. RAG refers to the process of supplementing a largeContinue reading “Best Practices in Retrieval Augmented Generation”
A Comprehensive Approach to Using LLMs
Subscribe • Previous Issues From Proprietary to Open Source to Fleets of Custom LLMs Large language models (LLMs) have proven to be powerful tools for me over the last year. LLMs can be used to build a wide range of applications, from chatbots and content generators to coding assistants and question answering systems. After discussing the journeyContinue reading “A Comprehensive Approach to Using LLMs”
7 Must-Have Features for Crafting Custom LLMs
Subscribe • Previous Issues Keys to a Robust Fleet of Custom LLMs The rising popularity of Generative AI is driving companies to adopt custom large language models (LLMs) to address concerns about intellectual property, and data security and privacy. Custom LLMs can safeguard proprietary data while also meeting specific needs, delivering enhanced performance and accuracy for improvedContinue reading “7 Must-Have Features for Crafting Custom LLMs”
Unlocking the Future of Efficient AI Model Deployment
Subscribe • Previous Issues Ivy: Streamlining AI Model Deployment & Development In an age where data drives decision-making and automation, deep learning (DL) has become a cornerstone of many industries, influencing everything from healthcare to finance. DL has become pervasive with applications in a wide range of fields, including computer vision, natural language processing, voice applications, andContinue reading “Unlocking the Future of Efficient AI Model Deployment”
Generative AI in Finance: Opportunities & Challenges
Subscribe • Previous Issues The Financial Services Sector’s March into Generative AI During my time as a quant at a hedge fund, I was struck by the asset management industry’s willingness to adopt cutting-edge technologies. Hedge funds are constantly looking for new ways to gain an edge in the increasingly competitive financial markets. They are quick toContinue reading “Generative AI in Finance: Opportunities & Challenges”
Lessons from the FTC’s Probe into OpenAI
Subscribe • Previous Issues What We Can Learn from the FTC’s OpenAI Probe The recent investigation launched by the U.S. Federal Trade Commission (FTC) into OpenAI is a sign of the growing regulatory scrutiny of AI technology and the potential risks it poses. As we build AI models and applications, we must proactively consider the questions listedContinue reading “Lessons from the FTC’s Probe into OpenAI”
Enterprise Generative AI Unfolded
Subscribe • Previous Issues Ten Keys to Accelerating Enterprise Adoption of LLMs By reviewing job postings in the US and analyzing recent reports on enterprise Large Language Models (LLMs) and Generative AI (GAI), I sought to understand the most critical enterprise requirements for these technologies. From this analysis emerged the following pillars, each representing a set ofContinue reading “Enterprise Generative AI Unfolded”
The New Era of Efficient LLM Deployment
Subscribe • Previous Issues Navigating the Intricacies of LLM Inference & Serving According to a recent Stack Overflow survey, 70% of developers use AI tools or plan to do so within the next few months, illustrating the pervasive sentiment of AI optimism within the tech community. The beneficial impacts of these technologies are evident: one-third of theseContinue reading “The New Era of Efficient LLM Deployment”