Gerard Sans | Axiom 🇬🇧 PRO
Founder of Axiom Masterclass, professional trainings // Forging skills for the new era of AI. GDE in AI, Cloud & Angular. Building London's tech & art nexus @nextai_london. Speaker | MC | Trainer.
Google Developer Expert
Developer Evangelist
International Speaker
Spoken 200 times in 43 countries
Alien cookbook
featuring Kang and Kodos
A tale of missing context and language nuance
FOR
HOW TO
HOW TO
HOW TO
HOW TO
Google AI Learning Path
Vertex AI
Complexity
Features
1
2
Gemini models landscape
Gemini for Open Source: Gemma
Responsible AI
Reduce Biases
Safe
Accountable to people
Designed with Privacy
Scientific Excellence
Follow all Principles
Socially Beneficial
Not for Surveillance
Not Weaponised
Not Unlawful
Not Harmful
GoogleAI
VertexAI
Pro 1.0
Pro 1.5
Ultra 1.0
Nano 1.0
New multi-modal architecture
(MoE)
1 Million tokens
Gemini 1.0 Pro 128K tokens
(100 pages)
Gemini 1.5 Pro 1M
(800 pages)
1h
video
11h
audio
30K
LOC
800
pages
1 Million tokens
Text: Apollo 11 script
402-pages
Video: Buster Keaton movie
44-minutes
Code: three.js demos
100K-LOC
A new age of AI-driven OSS
Exceptional Recall for up to 10M
RAG vs Massive Context
The Power of Context
Self-contained
Only what you need. Avoids fragmentation and relevance drift
Cost-effective
Lower investment over time, fixed query latency. No fixed costs
User-guided
Unified data for focus, easier to control and improve quality
Interpretable
Improved transparency, easier to debug & iterate
Extreme In-Context-Learning
English to Kalamang
Limited
Your sandbox for prompts
The Power of Context: Exploring Google Gemini 1.5
By Gerard Sans | Axiom 🇬🇧
The Power of Context: Exploring Google Gemini 1.5
In this talk, get an exclusive first look at Google's groundbreaking Gemini 1.5 in action! This multimodal language model features a Mixture of Experts (MoE) architecture and a revolutionary 1 million token context window, allowing it to understand complex inputs with exceptional depth. We'll explore live demos showcasing how this translates to vastly improved AI assistance for users and its impact on RAG systems.
