After failing in the AI wave, Google decided to make a comeback with their new AI model called the Gemini. It looks like google woke up and chose violence, finally a worthy opponent for the GPTs.
The newer Gemini bot comes in 3 different modes,
- Gemini Ultra
- Gemini Pro
- Gemini Base
Where The Ultra model is going to be a very computation heavy model with the most accurate responses and it is most likely going to be behind a paywall.
The Gemini pro, which will be available for the general public via the bard chat bot of google and it is going to be sufficiently capable for most tasks.
Finally, the Gemini base is designed mostly for on device tasks such as in a Smartphone, Google nest and things as such.
The gemini model is scheduled to be launched to general public by 13th December, but from the data from the google’s documentation, we have curated a comparison.
Take All These Data with a Pinch of Salt, since these are given by google and not tested yet. [ Google is google and google lies. ]
Applications and Potential Impact
Applications
Both Gemini and GPT-4 find applications across diverse fields, but their strengths cater to different domains.
| Applications | Gemini | GPT |
|---|---|---|
| Personalized Assistants | ✓ | ✓ |
| Education | ✓ | ✓ |
| Scientific Research | ✓ | – |
| Creative Industries | ✓ (Multimodal Capabilities) | – |
| Software Development | ✓ (Code Generation) | – |
| Content Creation | – | ✓ (Content Creation, Marketing) |
Potential Impact
The potential impact of both models on various industries is immense. Visualized through charts, the following graph illustrates their potential influence.
Capabilities and Performance
Text Processing
| Feature | Gemini | GPT |
|---|---|---|
| Token Capacity | 128K | 64K |
| Language Modeling | State-of-the-art | State-of-the-art |
| Text Generation | Highly Fluent & Creative | Fluent & Creative |
| Translation | Accurate and Natural | Accurate and Natural |
| Writing Formats | Highly Versatile | Versatile |
Multimodality
| Feature | Gemini | GPT |
|---|---|---|
| Image Processing | Can Understand and Generate | Limited Image Processing Capabilities |
| Audio Processing | Can Understand and Generate | Limited Audio Processing Capabilities |
| Code Generation | Can Generate and Understand | Limited Code Generation Capabilities |
Speed and Efficiency
| Feature | Gemini | GPT |
|---|---|---|
| Architecture | Transformer-based with TPUv5 chips | Transformer-based with TPUv4 chips |
| Resource Requirements | High | High |
| Inference Speed | Faster | Slightly Slower |
Development and Availability
Both models are currently in the early access stage and are just offering developers a glimpse into their capabilities.
Conclusion
Gemini and GPT are both capable enough and from the looks of it, Gemini seem to outperform GPT in most areas and also Gemini seem to be more accessible than the GPT. Because the GPT model on its own is not available to the general public whereas the Gemini is available to the general public right away.
