The Rise of AI Agents: Transforming Technology and Society
Introduction
Imagine a personal assistant that schedules meetings, answers emails, and even predicts your needs before you ask—this is the promise of AI agents. These intelligent systems are revolutionizing industries by autonomously per…
Jesse JCharis
queue_play_next Read MoreWhat Is Tool Calling?
Tool calling is a capability that allows large language models (LLMs) like GPT-4 or Claude to interact with external tools, APIs, or systems to perform tasks beyond text generation. Instead of relying solely on their internal knowledge, LLMs equipped with tool calling…
Jesse JCharis
queue_play_next Read MoreBuilding a Retrieval-Augmented Generation (RAG) System with Scikit-Learn Vectorizers
While modern LLMs excel at text generation, they often lack access to specific or up-to-date information. Retrieval-Augmented Generation (RAG) solves this by combining document retrieval with text generation. In this tutorial, we'll implement a RAG system using Scikit-Learn's vectorizers …
Jesse JCharis
queue_play_next Read MoreEnhancing Language Models with RAG in Python
Large Language Models (LLMs) like GPT-4 and BART excel at generating human-like text but often struggle with factual accuracy or accessing up-to-date information not present in their training data. Retrieval-Augmented Generation (RAG) addresses this limitation by combining retrieval from …
Jesse JCharis
queue_play_next Read MoreTop Stories
Building a Retrieval-Augmented Generation (RAG) System with Scikit-Learn Vectorizers
Enhancing Language Models with RAG in Python
The Critical Importance of Logging LLM Prompts and Responses
Ontology and Its Usefulness for Large Language Models
Understanding Ontology, Knowledge Graphs, RAG, and GraphRAG in LLM Applications
The Future of LLM Applications & Agentic AI:
Knowledge Graphs: A Comprehensive Guide