Artificial Intelligence dominion is undergoing a remarkable transformation. What began as basic language models has evolved into sophisticated AI agents capable of autonomous decision-making and complex task execution. Let's explore this fascinating journey and peek into the future of AI agency. The Foundation: Large Language Models The story begins with the fundamental … [Read more...] about The Evolution of AI Agents: From Simple LLMs to Autonomous Systems
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Revolutionizing Language Models: The Byte Latent Transformer (BLT)
The panorama of artificial intelligence, particularly in natural language processing (NLP), is undergoing a transformative shift with the introduction of the Byte Latent Transformer (BLT), and Meta's latest research paper spills some beans about the same. This innovative architecture, developed by researchers at Meta AI, challenges the traditional reliance on tokenization in … [Read more...] about Revolutionizing Language Models: The Byte Latent Transformer (BLT)
How Artificial Intelligence Adds Value To The Research Process
Let's dive into an example of AI making our daily life easier and enhancing our job performance - all while creating small value each time that adds up to massive total value. The process of performing research and gathering information has drastically evolved over time, driven by advances in both information management and analytics. Of course, large language models and … [Read more...] about How Artificial Intelligence Adds Value To The Research Process
Using AI Coding Assistants for Data Analysis
What Are AI Coding Assistants?AI coding assistants are software tools powered by artificial intelligence, typically large language models (LLMs), to aid in code development. They leverage models trained on vast datasets of code to provide real-time suggestions, auto-completions, and error detection during coding sessions. These assistants improve writing efficiency by reducing … [Read more...] about Using AI Coding Assistants for Data Analysis
Driving Value From LLMs – The Winning Formula
I have observed a pattern in the recent evolution of LLM-based applications that appears to be a winning formula. The pattern combines the best of multiple approaches and technologies. It provides value to users and is an effective way to get accurate results with contextual narratives - all from a single prompt. The pattern also takes advantage of the capabilities of LLMs … [Read more...] about Driving Value From LLMs – The Winning Formula
