LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

Views:
846,381
Subscribers:
22,600
Videos:
741
Duration:
18:20:50:03
Canada
Canada

LLMs Explained - Aggregate Intellect - AI.SCIENCE is a Canadian YouTube content creator with roughly 22.6 thousand subscribers. He published 741 videos which altogether total roughly 846.38 thousand views.

Created on ● Channel Link: https://www.youtube.com/channel/UCfk3pS8cCPxOgoleriIufyg





All Videos by LLMs Explained - Aggregate Intellect - AI.SCIENCE



PublishedVideo TitleDurationViewsCategoryGame
2025-10-11Inside the AI Bootcamp: 3 Sprints to Launch Your MVP0:0021
2025-10-10Smart Salon: AI That Optimizes Bookings & Boosts Revenue0:00124
2025-10-07Academic Research on Steroids: Deep Research Academia Demo0:00130
2025-10-06Build Real-World LLM Agent Systems: Tech Stack0:0036
2025-10-02What Is a Deep Research System and How Does It Work?0:00400
2025-10-01Preserving Structured Data in RAG - Tables, Formatting, and Document Loaders0:0059
2025-09-30How Can We Improve Traditional RAG with Multimodal and Practical Enhancements?0:0030
2025-09-29Do We Still Need Traditional RAG?0:00252
2025-09-26Inside NodeRAG: Construction, Retrieval, and the Challenge of Long-Chain Reasoning0:0047
2025-09-24Limitations of RAG and the Emergence of NodeRAG0:0029
2025-09-22Meet LegalFlow: The AI Legal Intake Agent0:00154
2025-09-20How to Evaluate Your LLM Quality in n8n Using LLM as a Judge0:0084
2025-09-19AI in Healthcare HR: Faster Onboarding, Happier Employees0:0099
2025-09-18How to Evaluate Your LLM Quality in n8n - Automated Upwork Proposal Demo0:0081
2025-09-17We Built an AI System to Classify Bank Transactions - Demo0:00141
2025-09-12From Brainstorm to Working Prototype in HOURS Meet IdeaStorm0:00163
2025-09-11Building Agentic System with No Code Tools: n8n Demo0:0054
2025-09-09Building an Agentic System with n8n Workflow Demo0:0043
2025-09-08We built an AI-Powered Curated Hub for the Most Innovative AI Tools.0:0071
2025-09-05The Right Way to Use LLMs: Defining Clear Objectives0:0031
2025-09-04Meet Insygnia, an AI to Save SaaS Startups From Customer Churn0:0075
2025-09-03Evolution of LLM Products0:0062
2025-09-02Sage Social Studio: AI Application that Polishes Content for LinkedIn, Substack & Twitter0:0049
2025-09-01What’s the Difference between Complex, Complicated, and Simple Systems?0:0053
2025-08-26Building Software with AI: Why a "Simple" Task Can Go Wrong0:0050
2025-08-25The Spectrum of Building with Agentic Systems0:0061
2025-08-23AI Agents: The User Experience vs The Developer Reality0:00294
2025-08-22What Differentiates an Agent from a Workflow0:0067
2025-08-21Before Building an AI Agent, answer these Questions.0:0062
2025-08-04What Comes After RAG? The Future of Knowledge Work with LLM Agents0:0093
2025-08-02How Can AI Agents Help Humans Operate at Peak Cognitive Efficiency in Complex Workflows?0:0093
2025-08-01Is Amazon Bedrock Production Ready?0:00276
2025-07-30From Start to Finish: Setting up a RAG System on Amazon Bedrock0:0066
2025-07-29How to Create a Knowledge Base on Amazon Bedrock0:00219
2025-07-24Key Learnings from Building AI Agents: How Open Source Shaped Our Architecture0:00662
2025-07-23Using Open Source Framework Versus Industry Standard Like LangChain0:0070
2025-07-22Open Source Projects for Building Agentic Applications0:00183
2025-07-16The AI Nutritionist in Your Pocket, Scan Food, Get Answers0:00185
2025-07-13Meet Aphrodite Oracle: An AI that Reads Academic Sources So You Don’t Have To0:00161
2025-07-11Teachers Are Burning Out. We Built an AI to Help.0:00255
2025-07-09IdeaProof: An AI That Turns Half-Baked Ideas Into Actionable Strategies0:00219
2025-07-08This AI Tracks Your Finances, Answers Complex Money Questions & Plans Your Goals0:00297
2025-07-07I Built an AI Coach that Analyzes Your Job Interviews Like a Real Coach0:00359
2025-07-06How I built Adept Reader: An AI Tool that Makes Research Papers Easy for Product Managers0:00193
2025-07-05Meet Claire: The AI That Turns Ideas Into Ready‑to‑Build Specs0:00372
2025-07-04AI Agents & Game Development: Why ChatGPT Isn’t Enough for D&D (And What I Built Instead)0:00308
2025-06-30Agentic Model & Framework Volatility: Risks for Production0:0044
2025-06-29Limitations of Agentic Frameworks: When to Use a Custom Framework0:00203
2025-06-28Multi Agent Architecture: Using AI Agents in Game Development0:00206
2025-06-22Why AI Agents Make Sense in Health Care0:00204
2025-06-21Scope Management & Balancing Learning Goals When Building Agentic Systems0:0062
2025-06-20Why AI is Ripe for Healthcare 3 Systemic Pressures0:0042
2025-06-16G-DIVE: Geoscience Document Intelligence via Verifiable Extraction0:00116
2025-06-09Evaluating Agent Responses with LLMs0:0053
2025-06-08Evaluating Agent's Responses0:0072
2025-06-07Budgeting for MVP Deployment0:0041
2025-06-03Selecting Tools and Libraries for Agentic Workflows0:0047
2025-06-02Building an Agentic App - LangChain Code Demo0:00168
2025-05-31Building an Agentic App - Challenges of No Code Tools0:0050
2025-05-24How to Create and Customize a Knowledge Base for LLMs in Dify0:00181
2025-05-23How to Set Up a Workflow in Dify in Two Minutes0:00125
2025-05-22Questions to Answer before Building Your Next Product0:0033
2025-05-19Use Cases of State Machines0:0029
2025-05-17Why Do We Need Sherpa0:0054
2025-05-16When Should We Use Sherpa?0:0043
2025-05-15How Do State Machines Work?0:0036
2025-05-10Best Practices for Prompt Safety0:0076
2025-05-09What is Data Privacy0:0049
2025-05-08Best Practices for Protecting Data0:0047
2025-05-01Strengths, Challenges, and Problem Formulation in RL0:00186
2025-04-30How LLMs Can Help RL Agents Learn0:00168
2025-04-29LLM VLM Based Reward Models0:00100
2025-04-28LLMs as Agents0:00198
2025-04-10Data Stores, Prompt Repositories, and Memory Management0:0082
2025-04-10Dynamic Prompting and Retrieval Techniques0:0084
2025-04-09How to Fine Tune Agents0:0090
2025-04-08What are Agents0:0073
2025-04-02Leveraging LLMs for Causal Reasoning0:00159
2025-04-01Examples of Causal Representation in Computer vision0:0077
2025-03-31Relationship between Reasoning and Causality0:0087
2025-03-31Causal Representation Learning0:0099
2025-03-19Deduplication in DeepSeek R10:0084
2025-03-18What Makes DeepSeek R1 Multi-token Prediction Unique?0:00134
2025-03-17Tokenization in DeepSeek R10:00164
2025-03-04ReferWell - Helping Patients Find Specialists - Multi-agent LLM Systems Bootcamp0:00189
2024-12-10Built Multi-agent LLM Products - Bootcamp Teaser0:00555
2024-10-16LLM Products and Entrepreneurship0:00192
2024-08-13XAI for LLMs: looking under the hood of Large Language Models0:00597
2024-08-05Intro to Llama-agents Framework (+ live demo)0:003,370
2024-07-24Generative AI Tools and Adoption19:13307
2024-07-02PandasAI - From Open Source to User-centric Products27:00327
2024-06-28Agents Embedded in the Real World23:40195
2024-06-19Human Feedback Foundation - LLMs6:25115
2024-06-11LLM Products vs Traditional Digital Products28:11379
2024-05-27LLM as Personal Financial Assistant6:09331
2024-05-13LLM Products for Regulated Industries31:40190
2024-04-25LLMs and Business Workflows4:49161
2024-04-175 Commandments of Building LLM Products8:48127
2024-04-16Building a LLM Testing API18:551,216
2024-04-11LLMs - Chunking Strategies and Chunking Refinement7:55806