Today, we're excited to explore the newly released Gemini 1.5 Pro experimental model from Google, surpassing GPT-4.0, the current leader among language models. We'll delve into its capabilities and build a full-stack application using Aider.
Introducing Aider: Seamless Pair Programming with Advanced LLMs
Aider empowers you to pair programs with large language models (LLMs), allowing you to edit code directly in your local git repository. Whether you're starting a new project or working on an existing one, Aider supports your development process by connecting to a wide range of LLMs, including GPT-4o and Claude 3.5 Sonnet.
Key Features
File Editing
Run Aider with the specific files you wish to edit:
aider <file1> <file2> ...
Request Changes
- Add new features or test cases.
- Describe a bug.
- Paste in an error message or a URL for a GitHub issue.
- Refactor code.
- Update documentation.
Aider will then modify your files to fulfill your requests and automatically commit changes with appropriate commit messages.
Language Support
Aider is compatible with numerous popular programming languages, including Python, JavaScript, TypeScript, PHP, HTML, CSS, and more.
Comprehensive Repo Management
Aider maps your entire git repository, ensuring it performs efficiently in larger codebases.
Integrated Development
Edit files in your preferred editor while interacting with Aider, which will always use the latest version of your code.
Advanced Interaction
- Include images in the chat.
- Add URLs for Aider to read their content.
- Code using voice commands.
Aider streamlines your coding workflow by integrating AI assistance directly into your development environment, enhancing productivity and collaboration.
Gemini 1.5 Pro experimental 0801
Google recently introduced the Gemini 1.5 Pro experimental model, code-named 0801. This model has quickly risen to the top of the LMS leaderboard, outperforming other notable models such as GPT-4.0 2024, GPT-4.0 Mini, CLA 3.5 Sonet, Gemini Advanced, and Meta's Llama 3.1 45 billion. With an impressive score of 1300 and strong community approval, receiving over 12,000 votes, it's a significant advancement in the field.
One of the standout features of Gemini 1.5 Pro is its context window of 2 million tokens, allowing it to process extensive information far beyond GPT-4's 32,000-token capacity. The model also excels in multilingual tasks, ranking first in Chinese, Japanese, German, and Russian languages, and showcases exceptional technical proficiency.
LMS Leaderboard
Stay tuned as we dive deeper into the functionalities of Gemini 1.5 Pro and demonstrate how to leverage it in a full-stack application using Aider.
YouTube:
Installation
pip install aider-chat
export GEMINI_API_KEY=<key> # Mac/Linux
setx GEMINI_API_KEY <key> # Windows, restart shell after setx
aider --model gemini/gemini-1.5-pro-latest
# List models available from Gemini
aider --models gemini/