Final Project References – Autonomous Agents + Agentic RAG systems
Agentic AI refers to artificial intelligence systems designed to act as autonomous agents, making decisions and taking actions based on their own assessments of goals, environments, and constraints.
These systems are proactive, adaptable, and capable of learning, allowing them to operate with a degree of independence while aligning with human objectives.
Two GPT-4os Interacting and Singing
Experience OpenAI's GPT-4o models engaging in a real-time duet, showcasing their advanced reasoning across audio, vision, and text.
Two GPT-4os Interacting and Singing
Witness the capabilities of GPT-4o as two models converse and harmonize, demonstrating sophisticated AI interactions.
Open Source Agents: Frameworks and More
An exploration of various open-source agent frameworks, their functionalities, and applications in AI development.
Agentforce: What are Autonomous Agents? A Complete Guide
Salesforce provides an in-depth guide on autonomous agents, detailing their roles, benefits, and implementation strategies.
What is Agentic RAG?
Moveworks discusses the concept of Agentic Retrieval-Augmented Generation (RAG) and its impact on AI-driven solutions.
Agentic RAG for Developers!
A developer-focused overview of Agentic RAG, offering insights into its implementation and advantages in software projects.
Forget RAG, Welcome Agentic RAG
Armand Ruiz introduces Agentic RAG, highlighting its evolution from traditional RAG methods and its potential in AI development.
The Third Wave of AI Is Here: Why Agentic AI Will Transform the Way We Work
Bernard Marr discusses how Agentic AI represents the next evolution in artificial intelligence, poised to revolutionize workplace dynamics.
AI Agents: Are We Ready for Machines That Make Decisions?
Charles Towers-Clark examines the readiness of society and industries for AI agents capable of autonomous decision-making.
How AI Agents Will Disrupt Small and Mid-Sized Businesses in 2025
An analysis of the impending impact of AI agents on SMEs, focusing on operational changes and competitive advantages.
The Rise of AI Agents: Unlocking Their Full Potential
Insights into the growth of AI agents and strategies to harness their capabilities for business and technological advancements.
AI Agents: The New Way to Interact with Customers
Exploring how AI agents are transforming customer interactions, enhancing engagement, and improving service efficiency.
An Executive's Crash Course in AI Agents
Larry English provides a comprehensive overview for executives on integrating AI agents into business operations.
Building Your Own Agents with IBM Bee
A guide on creating AI agents using IBM's Bee framework, detailing steps and best practices for developers.
From Standalone LLMs to Agents: Here's a Framework
Transitioning from large language models to functional AI agents, this article offers a structured approach for implementation.
About Automated Resolutions for AI Agents
Zendesk's support article on leveraging AI agents for automated customer service resolutions, enhancing efficiency and satisfaction.
Zendesk Announces AI Dynamic Pricing Model
Coverage of Zendesk's introduction of an AI-driven dynamic pricing model, aiming to optimize pricing strategies in real-time.
Fin 2 — Intercom’s Latest Generation of AI Agent
Intercom introduces Fin 2, an AI agent capable of resolving up to 82% of support queries with human-quality, personalized responses, enhancing customer service efficiency.
Agentic AI: 4 Reasons Why It’s the Next Big Thing in AI Research
IBM explores the emergence of agentic AI, combining large language models with traditional programming to create systems that autonomously perform tasks on behalf of users.
What Is Agentic AI?
NVIDIA discusses agentic AI systems capable of autonomous interactions, highlighting their potential applications across various industries and daily life.
Why Agents Are the Next Frontier of Generative AI
McKinsey examines how agentic systems, powered by generative AI, can independently interact in dynamic environments, opening new possibilities for automation and efficiency.
Fin 2: The First AI Agent That Delivers Human-Quality Service
Intercom unveils Fin 2, an AI agent designed to handle complex customer service tasks, achieving high resolution rates and accuracy in support interactions.
Fin 2: Powered by Anthropic's Claude LLM
Intercom's Fin 2 leverages Anthropic's Claude large language model to enhance its AI agent's intelligence, performance, and reliability in customer service applications.
Fin AI Agent: More Than a Customer Support Chatbot
Intercom's Fin AI Agent utilizes the patented Intercom AI Engine™ to provide refined, optimized, and validated responses, balancing high resolution rates with low hallucinations.
Introducing Fin AI Copilot: Increase Agent Efficiency by 31%
Intercom launches Fin AI Copilot, applying innovative AI to assist human agents in handling complex customer queries, thereby enhancing team efficiency.
Meet Fin 2: Watch the Launch of Our Next-Generation AI Agent
Intercom presents Fin 2, an AI agent achieving unprecedented resolution and accuracy rates, poised to transform frontline customer support tasks.
Intercom's AI Agent: Fin 2
A video introduction to Intercom's Fin 2, showcasing its capabilities in delivering human-quality customer service and handling a significant volume of support conversations.
AI Agents
IBM delves into the role of AI agents in automating tasks and enhancing decision-making processes across various sectors.
Agentic AI
DigitalOcean discusses the emergence of agentic AI and its implications for the future of technology and automation.
Cofactor AI
Cofactor AI offers solutions that integrate agentic AI to optimize business processes and decision-making.
Cheatsheets for AI
A comprehensive collection of AI-related cheatsheets, providing quick references for various AI concepts and frameworks.
Agent-Responsive Design
An exploration of designing responsive agents capable of adapting to dynamic environments and user interactions.
Customer Service Automation Market Size and Growth
An analysis of the customer service automation market, highlighting trends, growth factors, and future projections.
Conversational AI Market Growth
Insights into the growth of the conversational AI market, including key drivers, challenges, and opportunities.
Americans' Challenges with Medical Bills
A report examining the percentage of Americans facing issues with medical billing and the associated challenges.
Medical Bills Containing Errors
An article discussing the prevalence of errors in medical bills and their implications.
AI for Leaders - McCombs - Article Bookmarks
McCombs AI for Leaders Post-Graduate Program
Data Science Alliance
An organization dedicated to advancing data science through collaboration, education, and advocacy.
Benefits of Data Visualization
Atlan discusses how data visualization enhances understanding, decision-making, and communication in data-driven environments.
How Data Visualization Improves Decision-Making
Semeon explores the role of data visualization in simplifying complex data, leading to more informed and effective business decisions.
Artificial Intelligence Market Report
Fortune Business Insights provides an in-depth analysis of the AI market, including trends, growth factors, and future projections.
Machine Learning as a Service
PixelPlex examines the emergence of MLaaS platforms, their benefits, and how they are transforming the adoption of machine learning solutions.
Machine Learning vs. Rules-Based Systems
Socure analyzes the advantages of machine learning over traditional rules-based systems in dynamic and complex environments.
Business Analytics Case Studies
Deloitte presents real-world examples of how business analytics have been applied to solve complex problems across various industries.
Global Government AI Case Studies
Deloitte Insights explores how governments worldwide are implementing AI to enhance public services and operational efficiency.
What is ChatGPT?
Search Engine Journal provides an overview of ChatGPT, its functionalities, applications, and impact on various sectors.
How to Use OpenAI's ChatGPT
Digital Trends offers a guide on utilizing ChatGPT for text generation, including practical tips and use cases.
What is Generative AI?
McKinsey provides insights into generative AI, its mechanisms, applications, and potential implications for various industries.
Conducting Exploratory Data Analysis
Shopify Engineering discusses methodologies for performing exploratory data analysis to uncover patterns and inform decision-making.
Comprehensive Guide to Regression
Analytics Vidhya offers an in-depth guide to regression analysis, covering concepts, techniques, and practical applications.
Interpreting Coefficients and P-Values in Regression
Statistics by Jim explains how to interpret regression coefficients and p-values to understand relationships between variables.
Use Cases of Linear Regression Models
An exploration of practical applications of linear regression models across different industries and scenarios.
Logistic Regression for Machine Learning
Machine Learning Mastery provides a tutorial on implementing logistic regression for classification problems in machine learning.
Real-World Examples of Logistic Regression Applications
ActiveWizards presents case studies demonstrating the use of logistic regression in solving real-world problems.
TensorFlow Playground
An interactive platform by TensorFlow allowing users to visualize and experiment with neural networks in real-time.
Types of Neural Networks
Great Learning provides an overview of various neural network architectures and their applications in machine learning.
Neural Network Trends 2023
Merehead discusses emerging trends in neural network research and applications as of 2023.
Simple Guide to Ensemble Learning Methods
Towards Data Science offers an accessible guide to ensemble learning methods, their use cases, and benefits in machine learning.
K-Means Clustering Explained
An explanation of the K-Means clustering algorithm, including its steps, use cases, and practical applications.
7 Innovative Uses of Clustering Algorithms
Datafloq highlights seven practical applications of clustering algorithms, demonstrating their versatility in various domains.
AI Clustering Techniques and Applications
Plat.ai provides insights into clustering techniques used in AI and their practical use in data analysis and machine learning.
Step-by-Step Explanation of Principal Component Analysis (PCA)
Built In offers a detailed guide on performing PCA, a key technique used for dimensionality reduction in data science.
Masterclass on Movie Recommendation Systems
Great Learning provides a comprehensive guide to building movie recommendation systems using collaborative filtering and other techniques.
Recommender Systems: An Overview
Built In explores various types of recommender systems, their architectures, and real-world applications across industries.
Introduction to Neural Networks and Deep Learning
A YouTube video providing an introduction to the basics of neural networks and their role in deep learning.
DeepLearning.AI: Natural Language Processing Resources
A compilation of resources on natural language processing, including courses, articles, and tutorials from DeepLearning.AI.
Trending Natural Language Processing Applications
Great Learning discusses the latest applications of NLP, including sentiment analysis, language translation, and chatbots.
Basics of Building an Artificial Intelligence Chatbot
A beginner-friendly guide on creating AI chatbots, covering fundamental concepts, frameworks, and best practices.
NLP Projects and Applications
Analytics Vidhya presents examples of NLP projects, showcasing their practical applications in content analysis, sentiment analysis, and more.
What is Computer Vision? The Basics
Great Learning offers an introduction to computer vision, discussing its principles, applications, and relevance in today's technology landscape.
Computer Vision for Beginners
A YouTube video explaining the basics of computer vision, covering key concepts and common applications.
Top 10 Sectors for Computer Vision Applications
GeeksforGeeks highlights the leading industries where computer vision technology is making a significant impact.
Analysis of the Amazon Go Platform
Focal Systems provides an analysis of Amazon Go's platform and its implications for the future of grocery retail technology.