From Prompts to Automation: GPTScript and Fabric
Master the integration of GPTScript and Fabric for AI automation, exploring practical tools, best practices, and effective implementation strategies for streamlined prompt engineering workflows.
Comparing AI Data Integration Methods: Long Context Windows, RAG, and Model Tuning
Explore the key differences between long context windows, RAG, and model tuning for AI applications, understanding when and how to implement each approach effectively.
In Prompts We Trust - A Guide to Effective Prompt Engineering for LLMs
Dive into effective prompt engineering techniques for Large Language Models through live demonstrations and audience participation, learning to craft precise prompts for reliable AI outputs.
Brag Your RAG with MLOps - Building Scalable GenAI Solutions on Kubernetes
Discover how to build and deploy scalable RAG applications using LangChain, Canopy, and PostgreSQL Vector database on Kubernetes, while implementing effective MLOps strategies for GenAI solutions.
Exploring ChatGPT's Capabilities on Vulnerability Management
Explore ChatGPT's effectiveness in vulnerability management through comprehensive analysis of 6 key tasks, examining its potential and limitations in security-related code analysis.
Leveraging GenAI for Seamless Developer Experiences in Backstage
Discover how to enhance Backstage's capabilities by integrating ChatGPT and other LLMs, optimizing prompts, and automating development workflows for improved productivity.
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.
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.
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.
Improving Gemini Responses with Google Search Access Integration
Discover how to enhance Gemini's responses by integrating Google search capabilities through AI Studio's platform, featuring practical demonstrations and implementation techniques.
Testing LLM-Powered Applications - Best Practices and Evaluation Methods
Master essential strategies and methodologies for testing LLM applications, covering security concerns, evaluation metrics, adversarial testing, and practical tools for building robust AI systems.
Exploring Copilot Capabilities and Business Applications in Microsoft 365
Discover the comprehensive capabilities of Microsoft Copilot, from basic prompt engineering to creating custom AI assistants, with practical demonstrations and business implementation strategies.
Level Up with GitHub Copilot - Using AI to Learn, Code, and Build
Discover how to leverage GitHub Copilot as your AI pair programmer - from basic code suggestions to advanced prompt engineering and conversational coding. Learn to enhance your development workflow and productivity.
Instruction Backdoor Attacks Against Customized Large Language Models
Explore groundbreaking research on instruction backdoor attacks targeting customized LLMs, examining vulnerabilities in GPT applications and proposing effective defense strategies against security threats.
Application Security and AI: Tools, Frameworks, and Implementation Techniques
Explore the intersection of AppSec and AI through practical tools, frameworks, and prompt engineering techniques for enhanced security implementation.
Building AI Agents in Ruby - From Foundations to Implementation
Discover how to build AI agents using Ruby, exploring RAG, vector embeddings, semantic search, and prompt engineering while creating a practical agent implementation in minutes.