Videos de analytics
Videos etiquetados con "analytics"
analytics 2 videos
Anthropic Just Dropped Their Internal Data Playbook (copy this)
Anthropic just dropped their entire internal data playbook. Here's what they're doing and how it affects your career. 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://dcj.app/newsletter-DTgIjn 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://dcj.app/training-DTgIjn 👩💻 Want to land a data job in less than 90 days? 👉 https://dcj.app/daa-DTgIjn 👔 Ace The Interview with Confidence 👉 https://dcj.app/interviewsimulator-DTgIjn 📄 Read Anthropic's full data playbook 👉 https://claude.com/blog/how-anthropic-enables-self-service-data-analytics-with-claude ⌚ TIMESTAMPS 00:00 – Anthropic dropped their data playbook 02:39 – Why AI analytics keeps failing 05:24 – How they hit 95% accuracy 09:24 – What a Claude skill is 14:39 – None of this is actually new 17:09 – Still hiring data people 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://dcj.app/youtube-averysmith-DTgIjn 🤝 LinkedIn: https://linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://tiktok.com/@verydata 💻 Website: https://dcj.app/datacareerjumpstart-DTgIjn
Write Your First AI LLM Call with LangChain & Groq
Here's a YouTube description optimized for beginners, searchability, and engagement: 🚀 Welcome to LangChain for Beginners! In this first video of the series, you'll learn how to make your very first LLM call using LangChain and the Groq API. We'll start with the fundamentals of chat models, understand how messages work, create a ChatGroq model, send prompts to an LLM, and inspect the response returned by the model. By the end of this tutorial, you'll understand the core interaction pattern used throughout LangChain: Messages → Model → Response 📚 What You'll Learn: ✅ What a chat model is ✅ SystemMessage vs HumanMessage ✅ How to connect LangChain to Groq ✅ Creating your first ChatGroq model ✅ Using invoke() to call an LLM ✅ Understanding AIMessage responses ✅ Exploring response metadata and token usage 🔗 Code Covered: • Loading environment variables with python-dotenv • Creating a ChatGroq model • Building conversations with messages • Making your first LLM request • Reading model responses This video is part of the LangChain for Beginners series, where we'll gradually build toward prompt templates, chains, LCEL, embeddings, RAG applications, tools, and AI agents. ⏱️ Chapters 00:00 Introduction 00:45 How Chat Models Work 02:10 Loading Environment Variables 03:15 Creating a ChatGroq Model 05:20 Understanding Messages 07:40 Invoking the Model 09:15 Reading Responses 10:30 Response Metadata Explained 12:00 Recap 💡 If you found this video helpful, consider liking the video and subscribing for more AI Engineering, LangChain, RAG, Agentic AI, and LLM tutorials. #LangChain #LLM #AIEngineering #GenerativeAI #Python #Groq #AIAgents #MachineLearning #ArtificialIntelligence #RAG #PromptEngineering