AI-Driven Prompts for Enhanced System Reliability
Explore how AI-driven prompts enhance system reliability across industries, from e-commerce to healthcare, with practical insights into SRE principles and performance metrics.
Optimizing Cloud Efficiency with Prompt Engineering
Master cloud cost optimization techniques through AI, prompt engineering, and FinOps principles. Learn effective resource management and monitoring strategies for maximizing efficiency in cloud-native platforms.
Enhancing AI-Driven Quality Assurance with Prompt Engineering
Discover advanced prompt engineering techniques for enhancing quality assurance processes, from crafting effective prompts to implementing custom GPTs and documentation chatbots for improved testing automation.
The Smart Shortcut from Idea to Market-Ready Solution - Using AI in Product Management
Discover how AI transforms product management through practical case studies, prompt engineering techniques, and insights into the evolving role of product managers as "Product Alchemists."
Prompt Engineering: Art, Science, or Career Path?
Dive into prompt engineering fundamentals, from tokenization and model selection to advanced techniques, tools, and future trends in AI interaction and development.
Optimizing Retail Forecasting Through AI Models
Discover how prompt engineering and AI revolutionize retail forecasting, from essential techniques to practical implementations and future trends in predictive analytics.
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.
Multi-Agent Frameworks for LLM Applications: From Theory to Implementation
Discover how to build advanced LLM applications using LangGraph for multi-agent collaboration, enabling specialized task handling and improved workflow management through practical demonstrations and hands-on exercises.
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.
Reproducible AI with Kubeflow, lakeFS and Langchain
Discover how to build reproducible AI pipelines using Kubeflow, Langchain, and lakeFS to create RAG chatbots with improved data quality and version control for enhanced user experiences.
Building a Local Voice Assistant Like Alexa Using LLMs and Python
Learn to build a voice-controlled AI assistant using Python, Streamlit, LangChain, and Ollama in under 100 lines of code. Create your own local version of Alexa through hands-on coding.
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.
How Generative AI Powers the Next Generation of Mercari Marketplace
Discover how Mercari leverages GenAI to enhance its C2C marketplace, from streamlining item listings to improving search relevance and product recommendations through advanced ML engineering techniques.
Building Applications with RAG and LangChain on Google Cloud
Master building AI applications with RAG and LangChain on Google Cloud. Follow a hands-on demonstration of indexing data, creating a web interface, and deploying solutions for enhanced AI response accuracy.
Fine-tuning Llama 3.2 for Mental Health Sentiment Analysis Using TorchTune
Master fine-tuning techniques for Llama 3.2 using torchtune, focusing on sentiment analysis for mental health data with practical implementation steps on a single GPU.
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.
The Future of AI-Powered Observability - From Logs to Intelligent System Analysis
Explore how AI and GenAI transform system observability, from natural language queries to automated root cause analysis, making complex system monitoring accessible and efficient.
Faster Inference Using Output Predictions with OpenAI and vLLM
Master advanced inference techniques for faster AI model outputs using OpenAI predictions and vLLM speculative decoding, with practical demonstrations and cost optimization strategies.
Progress in Agentic AI - From Chatbots to Autonomous Systems
Explore the latest advancements in agentic AI systems, from automated ML research to self-optimizing models, with insights into Sakana AI's groundbreaking developments and future prospects.