Author: Hunter

Imagine having a personal chatbot that can answer questions directly from your documents—be it PDFs, research papers, or books. With Retrieval-Augmented Generation (RAG), this is not only possible but also straightforward to implement. In this tutorial, we’ll learn how to build a chatbot that interacts with your documents, like PDFs, using Retrieval-Augmented Generation (RAG). We’ll… Read more

Early adopters like Couchbase are already seeing significant price-performance gains with Google Cloud’s new VMs.Read More Read more

If acquiring a data governance solution is on your list of things to do in 2025, you might want to take a gander at Gartner’s latest Magic Quadrant for Data and Analytics Governance Platforms, which the IT analyst group published last week. Leaders in the field include Informatica, IBM, and Collibra, but a host of… Read more

With AI Agents being the Talk of the Town, CopilotKit is an open-source framework designed to give you a holistic exposure to that experience. It facilitates the integration of AI copilots into applications, enabling developers to create interactive AI-driven functionalities easily. It provides a robust infrastructure that rapidly deploys production-ready AI experiences ranging from a… Read more

Though growing in capability, Gemini still isn’t as popular as competing AI apps and services. Read more

Every Microsoft 365 Personal and Family subscription is about to get Copilot AI features, along with a price increase of at least 30%. The global rollout comes after months of testing and is certain to be controversial. Read more

The increasing reliance on data-driven investment strategies has brought significant challenges to the forefront. Data coverage, timeliness, and quality issues with historical data are bundled as the chief challenge faced by research analysts, quants, and data scientists, according to a recent Bloomberg Research Survey.  The “Investment Research Data Trends Survey 2024” was based on data… Read more

LLMs have significantly advanced natural language processing, excelling in tasks like open-domain question answering, summarization, and conversational AI. However, their growing size and computational demands highlight inefficiencies in managing extensive contexts, particularly in functions requiring complex reasoning and retrieving specific information. To address this, Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models, allowing access… Read more

The list of AI certifications keeps growing. Here’s the latest from Pearson and Microsoft. Read more

Large Language Models (LLMs) based on Transformer architectures have revolutionized sequence modeling through their remarkable in-context learning capabilities and ability to scale effectively. These models depend on attention modules that function as associative memory blocks, storing and retrieving key-value associations. However, this mechanism has a significant limitation: the computational requirements grow quadratically with the input… Read more