Source URL: https://simonwillison.net/2024/Nov/22/gemini-exp-1121/#atom-everything
Source: Simon Willison’s Weblog
Title: Say hello to gemini-exp-1121
Feedly Summary: Say hello to gemini-exp-1121
Google Gemini’s Logan Kilpatrick on Twitter:
Say hello to gemini-exp-1121! Our latest experimental gemini model, with:
significant gains on coding performance
stronger reasoning capabilities
improved visual understanding
Available on Google AI Studio and the Gemini API right now
The 1121 in the name is a release date of the 21st November. This comes fast on the heels of last week’s gemini-exp-1114.
Both of these new experimental Gemini models have seen moments at the top of the Chatbot Arena. gemini-exp-1114 took the top spot a few days ago, and then lost it to a new OpenAI model called “ChatGPT-4o-latest (2024-11-20)"… only for the new gemini-exp-1121 to hold the top spot right now.
(These model names are all so, so bad.)
I released llm-gemini 0.4.2 with support for the new model – this should have been 0.5 but I already have a 0.5a0 alpha that depends on an unreleased feature in LLM core.
I tried my pelican benchmark:
llm -m gemini-exp-1121 ‘Generate an SVG of a pelican riding a bicycle’
Since Gemini is a multi-modal vision model, I had it describe the image it had created back to me (by feeding it a PNG render):
llm -m gemini-exp-1121 describe -a pelican.png
And got this description, which is pretty great:
The image shows a simple, stylized drawing of an insect, possibly a bee or an ant, on a vehicle. The insect is composed of a large yellow circle for the body and a smaller yellow circle for the head. It has a black dot for an eye, a small orange oval for a beak or mouth, and thin black lines for antennae and legs. The insect is positioned on top of a simple black and white vehicle with two black wheels. The drawing is abstract and geometric, using basic shapes and a limited color palette of black, white, yellow, and orange.
Tags: vision-llms, gemini, llm, google, generative-ai, ai, llms
AI Summary and Description: Yes
Summary: The text highlights the release of Google’s latest Gemini model, gemini-exp-1121, showcasing advancements in coding performance, reasoning capabilities, and visual understanding. This development is significant for AI professionals, particularly in the generative AI space, as it indicates progression in multi-modal AI models that integrate visual and coding features.
Detailed Description:
The text discusses recent advancements in Google’s Gemini AI platform, specifically the launch of the experimental model gemini-exp-1121. This release is notable for several reasons:
– **Performance Enhancements**:
– The gemini-exp-1121 model demonstrates significant improvements in coding performance. This enhancement is crucial for developers and data scientists who rely on AI for automating coding tasks and improving efficiency.
– **Reasoning and Understanding**:
– The model exhibits stronger reasoning capabilities, which potentially leads to more intelligent interactions and decision-making processes. This is particularly relevant in applications requiring advanced natural language understanding and response generation.
– **Visual Understanding**:
– Improved capabilities in visual understanding differentiate this model from previous versions. The multi-modal aspect allows users to not only generate textual content but also engage with visual tasks, such as image generation and interpretation.
– **Contextual Relevance**:
– The model is available through Google AI Studio and the Gemini API, underlining its accessibility to developers and organizations looking to leverage advanced AI technologies in their applications.
– **Competitive Landscape**:
– The text mentions the competitive environment, illustrating how gemini-exp-1121 has recently dominated the Chatbot Arena, surpassing an OpenAI model. This suggests a robust market engagement and potential for competitive AI tools.
– **Community Engagement**:
– The note about the release of llm-gemini 0.4.2 indicates active development and support for the new model, fostering a collaborative community among AI developers.
– **Practical Application**:
– The sample command executed on the new model demonstrates its application in generating visual content (SVG) from textual prompts, which can be valuable in creative workflows.
In conclusion, the release of the gemini-exp-1121 model marks an important step in the evolution of generative AI technologies, combining coding, reasoning, and visual competencies. This is integral for professionals focused on innovation in AI applications and enhancing user interactions in software.