How Machine Learning is Changing Software
Explore how machine learning is revolutionizing software development, from weak supervision to self-supervised systems, with insights from Stanford's Chris Re on emerging challenges and industry applications.
Putting the AI Back in Medallion Lake Design
Explore a comprehensive analysis of lakehouse design and its integration with AI in this insightful 13-minute talk by Simon Whiteley, a Databricks Beacon and Microsoft MVP. Delve into the challenges companies face when adopting lakehouses and learn how t…
Training LLMs: Lessons from the Trenches
Discover key insights and challenges in training large language models across hundreds of GPUs, from data handling to resource management.
Why AI Apps Don't Work in Production: AI Reliability Survey
Explore AI reliability challenges in production, survey techniques for improvement, and gain insights from 18 months of solving AI engineering reliability issues.
What Does it Mean to be an AI Engineer in the World of Generative AI
Explore the evolving role of AI Engineers in the era of Generative AI, covering technical aspects and business strategies for both engineers and decision-makers.
Using Siri with n8n and Nodes as Tools - Prague Meetup September 2024
Discover how to integrate Siri with n8n workflows and explore the innovative 'Nodes as Tools' feature in this insightful talk from the Prague Meetup by AI Engineer Oleg Ivanov.
Accelerating AI Application - NAVER's Journey from Model to Application
探索NAVER如何利用BentoML加速AI应用开发，从模型到产品的全生命周期管理，实现高性能并行数据处理和稳定模型服务，优化搜索引擎性能。
Generative AI Roadmap for Absolute Beginners
Comprehensive guide for beginners to understand and learn Generative AI, covering key concepts, tools, resources, and learning approaches for both engineering and implementation aspects.
An AI Engineer Guide to Comet Model Registry Platform
Learn to use Comet's Model Registry for logging, versioning, and deploying machine learning models. Explore key features like model export, registration, and monitoring in this hands-on tutorial using Keras and TensorFlow.
An AI Engineer Guide to Model Monitoring with Comet ML Platform
Learn to monitor AI models in real-time using Comet ML. Explore key features like automatic logging, experiment tracking, and data visualization to ensure optimal model performance in production environments.
How Much AI is in AI Engineering
Explore the role of AI in engineering, examining its applications and limitations in modern software development practices.
AI Engineer Ethics: Shaping Responsible Generative AI
Explore practical approaches for embedding ethical considerations into generative AI development workflows, focusing on responsible engineering practices and collaboration with ethics experts.
Challenges and Solutions in Industry Scale Data and AI Systems - Yangqing Jia
Explore industry-scale data and AI systems challenges, focusing on Alibaba's technologies like big data infrastructure, autonomous computing, and AI engineering for recommendation systems and digital twins.
An AI Engineer's Guide to Machine Learning with Keras
Comprehensive guide to building and evaluating machine learning models using Keras, covering data preparation, model creation, training, and performance analysis with practical examples.
AI Engineer Skills for Beginners: Code Generation Techniques
Explore AI code generation techniques using GPT-4, GitHub Copilot, and open-source models. Learn practical skills for data analysis, API integration, and leveraging AI tools in engineering projects.
Retrieval-Augmented Generation and Making AI Work for You - with Guil Hernandez
Explore retrieval-augmented generation and learn to customize AI models with your own data, enhancing their ability to answer unique questions about your business or projects.
Web Development and AI Updates - CSS, JavaScript, HTML, and AI Trends
Comprehensive exploration of AI's impact on tech jobs, latest CSS features, JavaScript updates, and HTML advancements, offering insights into the evolving landscape of web development.
The Rise of AI Engineering - Making an Industry with Swyx
Explore the emergence of AI engineering with Swyx, covering industry trends, AI vs ML engineering, demand-supply dynamics, and successful AI products. Gain insights into this evolving field and its impact.
Building an LLM-Powered Mega Autocompleter - AI Engineer Project
Build an LLM-powered autocompleter with React and Node.js. Learn to set up prompts, iterate on features, and create a functional UI for a fast, simple AI-driven application.
37% Better Output with 15 Lines of Code - Llama 3 Improved RAG
Improve RAG performance for Llama 3 models with simple code modifications, enhancing output quality by 37% for both local 8B and cloud-based 70B versions.
AI Engineer Skills for Beginners - OpenAI API and Python
Beginner-friendly introduction to AI engineering, covering APIs, Python, and hands-on projects like building chatbots, chaining prompts, transcription, and image manipulation using OpenAI's tools.