Gemini 1.5 LLM
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A Gemini 1.5 LLM is a Gemini LLM.
- Context:
- It can (typically) incorporate a Mixture-of-Experts (MoE) approach.
- It can (typically) feature an experimental 1 million Token Context Window.
- It can (often) enable the direct upload of large files into Google AI Studio.
- It can (often) support the analysis of entire codebases.
- ...
- Example(s):
- Gemini 1.5 LLM Pro, such as: models/gemini-1.5-pro-latest.
- Gemini 1.5 LLM Flash.
- ...
- Counter-Example(s):
- Gemini 1.0 LLM, such as Gemini 1 Ultra.
- GPT-4, Claude 3.
- See: Mixture-of-Experts (MoE).
References
2024
Model last updated February 2024 Model code models/gemini-1.5-pro-latest Supported generation methods generateContent Input token limit 1048576 Output token limit 8192
2024
- (Gemini Team, 2024a) => Google Gemini Team. (2024). “Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context." Google Whitepaper
- NOTES:
- The paper introduces the next-generation Gemini 1.5 model, utilizing a new Mixture-of-Experts (MoE) approach for improved efficiency.
- The paper offers developers a Private Preview of Gemini 1.5 Pro, optimized for scaling across a wide range of tasks.
- The paper features an experimental 1 million token context window, significantly expanding its processing capability.
- The paper enables the direct upload of large PDFs, code repositories, or lengthy videos as prompts in Google AI Studio.
- The paper allows developers to upload multiple files and ask questions, leveraging the larger context window for more relevant outputs.
- The paper facilitates deep analysis of entire codebases, enhancing developers' productivity and understanding of complex code relationships.
- The paper can reason across up to 1 hour of video, breaking down thousands of frames for sophisticated reasoning tasks.
- The paper introduces new ways for developers to build with Gemini models, including easy tuning and new developer surfaces, alongside lower pricing for Gemini 1.0 Pro.
- NOTES: