Google's Gemini just made GPT-4 look like a baby’s toy?
Fireship
4 min, 41 sec
A detailed overview of the competition between Google's Gemini and Microsoft's GPT-4 in the AI war of 2023.
Summary
- Google's Gemini model outperforms GPT-4 on most benchmarks.
- Gemini, a multimodal large language model, succeeded Lambda and Palm 2, handling text, sound, images, and video.
- Google's Alpha Code 2 surpasses 90% of competitive programmers in complex problem solving.
- Gemini is available in three versions: Nano, Pro, and Ultra, with Ultra being the most powerful but not yet available to the public.
- Gemini Ultra excels in multitask language understanding but lags behind GPT-4 in the common sense HellaSwag benchmark.
Chapter 1
Google's Gemini model emerges to challenge Microsoft's GPT-4 in the AI landscape.
- Google was initially outpaced by Microsoft's GPT-4 in the AI war.
- The unveiling of Google's Gemini model, which surpasses GPT-4 in many benchmarks, marks a significant turning point.
- Gemini's announcement and capabilities were first introduced at Google I/O.
Chapter 2
Exploring the multimodal functionalities and demonstrations of Google's Gemini.
- Gemini is a multimodal AI capable of processing and responding to text, sound, images, and video in real-time.
- Demonstrations showcase Gemini's ability to recognize objects, track items in a video feed, and perform complex tasks.
- Gemini's multimodal outputs include image and music generation, highlighting its versatility.
Chapter 3
Gemini showcases its practical applications in logic, reasoning, and creative tasks.
- Gemini excels in logic and spatial reasoning, demonstrated by predicting car speeds based on aerodynamics.
- It can generate blueprints from a land picture, indicating its potential to revolutionize engineering fields.
- Gemini's utility extends to software engineers with Alpha Code 2's programming problem-solving capabilities.
Chapter 4
Comparison of Gemini's models and their performance against GPT-4.
- Gemini comes in three sizes: Nano, Pro, and Ultra, each designed for different applications.
- While Gemini Pro is currently available and shows promise, it is not as adept as GPT-4 Pro.
- Gemini Ultra, however, surpasses GPT-4 in most categories except for the HellaSwag benchmark.
Chapter 5
Insight into the technical infrastructure and training methods used for Gemini.
- Gemini utilizes Google's version 5 tensor processing units arranged in super pods for parallel training.
- The model's training involves advanced data center communication and dynamic topologies.
- Google trained Gemini using a vast dataset from the internet, scientific papers, and books, followed by reinforcement learning.
Chapter 6
Announcement of Gemini model availability and the future release of Gemini Ultra Pro Max.
- Google plans to release the Nano and Pro models of Gemini on its cloud platform.
- Gemini Ultra Pro Max, the most advanced model, is pending further safety tests and benchmark achievements.
- Despite the excitement, the full potential of Gemini will only be realized in the future.
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