Intro to Context Caching with the Gemini API

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Intro to Context Caching with the Gemini API

Coursera · Beginner ·🧠 Large Language Models ·3mo ago

Key Takeaways

Demonstrates context caching with the Gemini API in Vertex AI for large language models

Original Description

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Gemini API context caching feature in Vertex AI.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Integrating Open-Weight LLM APIs: A Developer's Guide to Accessible AI
Learn to integrate open-weight LLM APIs into your applications for accessible AI, enabling you to leverage large language models like Llama and Mistral
Dev.to AI
📰
Who’s Afraid of Chinese Models?
The U.S. should focus on developing open alternatives to Chinese AI models, rather than fearing them, to maintain a competitive edge in the AI landscape.
Stratechery
📰
I compared the real cost of running LLMs on AWS - here's when each option makes sense
Learn when to use each AWS option for running LLMs in production and understand their cost implications
Dev.to · Jerzy Kopaczewski
📰
Building a Character-Level Bigram Language Model from Scratch with PyTorch
Learn to build a basic character-level bigram language model from scratch using PyTorch, understanding the fundamentals of neural language modeling
Dev.to · Mohamed Heni
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →