Time Series Forecasting with Lag Llama

Channel:
United States IBM Technology
Subscribers:
1,180,000
Published on ● Video Link: https://www.youtube.com/watch?v=MOOPuizuf6o


Duration: 0:00
8,854 views
424

Ready to try Lag Llama for yourself? Find the code here → https://ibm.biz/BdGSdc
Learn more about LAG Llama here → https://ibm.biz/BdGMZP

Forecasting the future just got a whole lot more precise! Join Meredith Mante as she takes you on a deep dive into Lag Llama, an open-source foundation model, and shows you how to harness its power for time series forecasting. Learn how to load and preprocess data, train a model, and evaluate its performance, gaining a deeper understanding of how to leverage Lag Llama for accurate predictions.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdGMZy

#ai #machinelearning #deeplearning



Other Videos By IBM Technology


2025-02-02What is iPaaS?
2025-01-31What is the Dark Web?
2025-01-31DeepSeek facts vs hype, model distillation, and open source competition
2025-01-30DeepSeek: The Future of AI?
2025-01-30Diffusion Models for AI Image Generation
2025-01-29Digital Twin in Under A Minute
2025-01-28Scaling Generative AI in 60 Seconds
2025-01-28How Human Should an AI Chatbot Be?
2025-01-27What is a Digital Twin?
2025-01-24DeepSeek-R1, Mistral IPO, FrontierMath controversy, and IDC code assistant report
2025-01-23Time Series Forecasting with Lag Llama
2025-01-22What is Tool Calling?
2025-01-21Human + AI: CX Innovation in 60 seconds
2025-01-21What is a Context Window? Unlocking LLM Secrets
2025-01-20Can AI Think? Debunking AI Limitations
2025-01-20Build Your Own AI App with 3 Easy Patterns | AI for Web Devs #ai #aiapplications #machinelearning
2025-01-17Anthropic valuation rumors, Microsoft CoreAI, NotebookLM upgrades, and AI agents in finance
2025-01-16What is a GPT?
2025-01-16Humans + AI: A Winning CX Strategy
2025-01-15CX Tools Acronym Guide in Under a Minute
2025-01-15Building AI Applications with Large Language Models