LLMs Explained - Aggregate Intellect - AI.SCIENCE

LLMs Explained - Aggregate Intellect - AI.SCIENCE

Views:
843,134
Subscribers:
22,400
Videos:
711
Duration:
18:20:50:03
Canada
Canada

LLMs Explained - Aggregate Intellect - AI.SCIENCE is a Canadian YouTube content creator with roughly 22.4 thousand subscribers. He published 711 videos which altogether total roughly 843.13 thousand views.

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





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



PublishedVideo TitleDurationViewsCategoryGame
2025-08-02How Can AI Agents Help Humans Operate at Peak Cognitive Efficiency in Complex Workflows?0:0056
2025-08-01Is Amazon Bedrock Production Ready?0:00196
2025-07-30From Start to Finish: Setting up a RAG System on Amazon Bedrock0:0045
2025-07-29How to Create a Knowledge Base on Amazon Bedrock0:0054
2025-07-24Key Learnings from Building AI Agents: How Open Source Shaped Our Architecture0:00658
2025-07-23Using Open Source Framework Versus Industry Standard Like LangChain0:0066
2025-07-22Open Source Projects for Building Agentic Applications0:00175
2025-07-16The AI Nutritionist in Your Pocket, Scan Food, Get Answers0:00181
2025-07-13Meet Aphrodite Oracle: An AI that Reads Academic Sources So You Don’t Have To0:00155
2025-07-11Teachers Are Burning Out. We Built an AI to Help.0:00252
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
2024-04-10Large Language Models as a Building Blocks35:34378
2024-04-04Competitive Advantage for Startups in era of LLMs13:37223
2024-04-02Intersection Between LLMs and Products26:58138
2024-03-28What is the right team composition in era of LLMs?1:3568
2024-03-28Building an LLM Teacher-bot8:23164
2024-03-27What is the relationship between LLMs and multi-modality?3:1291
2024-03-26What are the system level considerations for using LLMs?1:1167
2024-03-22What is the relationship between language and intelligence?2:0251
2024-03-21How do you improve your RAG pipeline?7:13111
2024-03-20Are long context LLMs the death of RAG?1:45215
2024-03-19How Do You choose between training, fine-tuning, and using small models?2:53102
2024-03-15Multi-agent LLMs Course #business #startup https://maven.com/forms/30a6830:15117
2024-03-15LLM Evaluation, Validation, and Verification4:47126Discussion
2024-03-14How Do You Validate LLM Systems Beyond Benchmarks?1:2862
2024-03-13Can Sherpa (multi-agent llm) Handle Multi-modality?1:5873
2024-03-12What Kind of Risks Are Specific to LLMs?2:2462Discussion
2024-03-08LLMs, What Skills to Learn? and What a Time to be Alive!2:06182
2024-03-07How do you Force an LLM to Keep Track of the Assumptions a Document Makes?1:2776
2024-03-06How to Annotate Data for LLM Applications3:1294Guide
2024-03-05What is the Role of Data Quality and Diversity in LLM Systems?2:0679
2023-12-16Testing Strategies for LLMs - SHERPA - Open Source Project Update, 2023-12-0830:24220Vlog
2023-12-16Evaluating Job Exposure to Large Language Models25:43173
2023-12-16Empirical Rigor in ML23:52159
2023-12-16Evaluation of Multimodal RAG Systems using the LlamaIndex41:271,232
2023-12-16Intro to Language Model Operations (LLM-Ops)18:06403
2023-12-16Normie Tools for Validating LLM Outputs14:20284
2023-12-16Automatic Evaluation of Dialogue Systems using LLMs18:56169Vlog
2023-10-27SHERPA - Open Source Project Update, 2023-09-2924:04169Vlog
2023-10-27Eliciting Business Insights at Scale with Conversational AI25:4580
2023-10-27Challenges and Solutions for LLMs in Production29:58104