6 min read. Scenario Analysis: Python Code Snippets for Forecasting Investment Performance. Copy and paste these code snippets to forecast investment performance in any market conditions.

Programming Language: Be specific about which language you want Gemini to generate code in (e.g., Python, JavaScript, C++, etc.). Code Purpose: Clearly describe the problem the code should solve ...

[Andrej Karpathy] recently released llm.c, a project that focuses on LLM training in pure C, once again showing that working with these tools isn’t necessarily reliant on sprawling developmen… ...

Code Llama 70B is a new and improved version of Meta AI’s code generation model that can write code in various programming languages from natural language prompts or existing code snippets.

Copy and paste these code snippets to evaluate investments for style drift. ... Copy and paste these Python snippets to kickstart style analysis. For more real-life case studies and examples, ...

How to run Llama in a Python app. To run any large language model (LLM) locally within a Python app, follow these steps: Create a Python environment with PyTorch, Hugging Face and the transformer's ...

Similarly, on HumanEval to evaluate Python code generation and CruxEval to test Python output prediction, the model bested the competition with scores of 81.1% and 51.3%, respectively.

CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.