Google I/O 2024 was an exciting event where Google highlighted its newest advances in artificial intelligence (AI), machine learning, and other newest tech innovations, including Google’s Gemini models, Project Astra, and more.
Table of Contents
Google Gemini: Multimodality and Long Context
Gemini is Google’s cutting-edge model designed to seamlessly handle multiple modes of input right from the start. It can process text, images, video, code, and beyond, making it a game-changer in transforming any type of input into any desired output. The Gemini models have shown exceptional performance across all multimodal benchmarks, showcasing their state-of-the-art capabilities.
Gemini 1.5 Flash
Gemini 1.5 Flash is like the speedster of models from Google, built to be quick and efficient. It’s tailor-made for handling high-volume, high-frequency tasks on a large scale, thanks to its breakthrough long context window.
This nimble model shines in tasks like summarization, chat applications, captioning images and videos, extracting data from lengthy documents and tables, and much more.
Gemini 1.5 Pro
Gemini 1.5 Pro is your go-to mid-size multimodal model, finely tuned for tackling various tasks across the board. It comes with a groundbreaking experimental feature for understanding long contexts like a champ. Plus, it’s a real workhorse, capable of handling a whopping 1 million tokens in production consistently—outperforming any other large-scale foundation model out there.
Gemma
Gemma, the newest addition to Google’s model family! These lightweight wonders are crafted using the same cutting-edge research and technology that powers the Gemini models. Despite their lighter weight, Gemma models pack a punch, delivering outstanding benchmark results at both 2B and 7B sizes. Plus, they play nice with a variety of platforms including Keras 3.0, JAX, TensorFlow, and PyTorch.
PaliGemma
PaliGemma, the powerhouse open vision-language model (VLM) that draws inspiration from PaLI-37. Combining the strengths of the SigLIP vision model and the Gemma language model, PaliGemma is engineered to excel in fine-tuning performance across a diverse array of vision-language tasks.
Veo
Veo, Google’s pinnacle video generation model, setting the bar for excellence. It crafts stunning videos in crystal-clear 1080p resolution, going beyond a minute, and offering a vast array of cinematic and visual styles to choose from. Veo’s magic lies in its ability to perfectly capture the essence and mood of any prompt, granting unparalleled creative freedom like never before.
Trillium
Trillium, Google’s latest marvel in Tensor Processing Units (TPUs), marking the sixth generation and the epitome of performance and energy efficiency. These Trillium TPUs boast a remarkable 4.7X increase in peak compute performance per chip compared to their predecessor, TPU v5e. Designed to accelerate the training of future foundation models while slashing latency and costs, Trillium TPUs are paving the way for the next era of machine learning innovation.
LearnLM
LearnLM, the fresh face in the world of models, specifically tailored for learning. Rooted in educational research, LearnLM is on a mission to revolutionize teaching and learning, making them more dynamic, individualized, and captivating. Whether you’re searching, browsing YouTube, or chatting with Gemini, LearnLM is there to enrich your learning journey every step of the way.