Building an Open Source Agentic RAG Application with Llama
Dive into building advanced LLM applications using LangChain v0.2 and LangGraph, focusing on context-aware reasoning and autonomous agent development with RAG implementation.
Generative AI Full Course 2024 - From Basics to Advanced Applications
Comprehensive exploration of Generative AI, covering fundamentals, tools, applications, and advanced concepts like LangChain and RAG. Hands-on demos and practical implementations included.
All-in-One Artificial Intelligence Full Course 2024 - AI Tutorial for Beginners
Comprehensive exploration of AI, covering neural networks, deep learning, computer vision, NLP, and generative AI. Includes hands-on demos and real-world applications for beginners to advanced learners.
How to Install LLaMA 3.2 AI Model on Your Computer - Step-by-Step Guide
Master the step-by-step process of installing and configuring LLaMA 3.2 AI model locally for private data analysis and coding tasks on your personal computer.
ChatGPT Applications in Network Engineering - Automation and Troubleshooting
Discover how ChatGPT can revolutionize network engineering through automation, troubleshooting, and documentation across major vendors like Cisco and Juniper.
A Brief History of AI and AI Agents - From Language Models to Multi-Agent Systems
Explore the evolution of AI from GPT-3 to modern multi-agent systems, covering key developments in language models, function calling, AI agents, and future implications for global artificial intelligence.
10 Essential AI Art and Midjourney Prompt Formulas for Better Image Generation
Master 10 essential AI art prompt formulas for Midjourney to create stunning images across various styles, from photography and historical scenes to vector logos and abstract compositions.
Google Gemini vs GPT-4: Understanding the LMSYS Arena Leaderboard and Gemini-exp-1121
Discover how Google's Gemini-exp-1121 model competes with GPT-4 on the LMsys Arena leaderboard, including ELO calculation methods and basic performance testing insights.
Building a ChatGPT RAG Data Pipeline with RisingWave Stream Processor and Vector Store
Discover how to build a real-time ChatGPT data pipeline using RisingWave stream processor, integrating Twitter feeds with vector embeddings for enhanced similarity search and RAG-based chatbot functionality.
Introduction to AI - Understanding Core Technologies and Implementation Best Practices
Gain insights into AI fundamentals, from NLP and machine learning to ethical considerations, while exploring real-world applications, security practices, and implementation strategies.
Is AI Sexist? Examining Gender Bias in Large Language Models
Explore how gender bias manifests in AI systems, particularly in Large Language Models, and learn practical steps to identify, understand, and address these biases in technology development.
LangChain Legends: Building LLM-Powered Applications
Master LangChain's framework for building powerful LLM applications through hands-on exploration of prompt templates, chains, agents, and memory, culminating in creating a practical RAG application.
10 Lessons from Building AI-Powered Features
Gain insights into practical lessons and strategies for integrating AI features into existing systems, from prompt engineering to responsible AI implementation, based on GitHub Copilot team experiences.
Multimodal AI: Understanding Large Language Models with Vision and Audio Capabilities
Explore three key approaches to expanding Language Models beyond text, enabling them to process visual and auditory information, with practical demonstrations using LLaMA 3.2.
Fine-tuning AI Models for Healthcare Policy Analysis with AWS and Snorkel Flow
Master AWS and Snorkel Flow integration to enhance AI models through structured fine-tuning workflows, focusing on improving accuracy in analyzing health insurance policy documents and generating reliable responses.
Building RAG Applications: Speaking with Unstructured Data Using LangChain - Part 1
Dive into building a RAG application using Langchain, multiple LLMs, and vector stores to enable interactive conversations with unstructured data through a Streamlit interface.
Building RAG Applications: Speaking with Unstructured Data Using LangChain - Part 2
Dive into building an end-to-end RAG application using Langchain, multiple LLMs, and vector stores to enable interactive conversations with unstructured data through a Streamlit interface.
Building End-to-End RAG Applications with Unstructured Data - Part 3: Docker Integration
Dive into containerization with Docker and Docker Compose while building a RAG application that processes unstructured data using LangChain, multiple LLMs, and vector stores through Streamlit.
Automatically Deriving Adjectival Scales from Neural Network Language Models - 2013
Discover how computational linguistics can derive meaning from adjective scales, using web data and neural networks to understand gradable modifiers in everyday language and medical contexts.
Encoder-Only Transformers: Understanding BERT and RAG Architecture
Discover how encoder-only transformers power RAG, sentiment analysis, and classification through clear explanations of word embedding, positional encoding, and attention mechanisms.
Navigating Between Commercial and Open Source AI - Understanding Large Language Models
Explore the landscape of Generative AI, examining LLM openness levels, intellectual property challenges, and the balance between commercial interests and open collaboration in AI development.