Think Different

Architecture Details for Code Generation Engine (Low-code) 1. Backend Framework: - Python Framework:   - FastAPI: A modern, fast (high-performance) web framework for building APIs with Python 3.6+ based on standard Python type hints.   - SQLAlchemy: SQL toolkit and Object-Relational Mapping (ORM) library for database management.   - Jinja2: A templating engine for rendering dynamic content.   - Pydantic: Data validation and settings management using Python type annotations. 2. Application Structure: - Project Root:   - `app/`     - `main.py` (Entry point of the application)     - `models/`       - `models.py` (Database models)     - `schemas/`       - `schemas.py` (Data validation schemas)     - `api/`       - `endpoints/`         - `code_generation.py` (Endpoints related to code generation)     - `core/`       - `config.py` (Configu...

                                    Python code generated by Bard Generative AI can create programming code for a problem in several ways, leveraging different techniques and tools. Here's a breakdown of some common approaches: 1. Code Generation with Large Language Models (LLMs) : LLMs are trained on massive datasets of text and code, allowing them to predict the next token in a sequence with high accuracy. Given a natural language description of a problem or a program fragment, the LLM can generate the corresponding code by predicting the next tokens in the sequence. Examples of LLMs used for code generation include OpenAI Codex, GitHub Copilot, and GPT-3. 2. Template-based Code Generation: This approach uses pre-defined templates for specific tasks or functionalities. The AI analyzes the problem and selects the appropriate template. It then fills in the template with the s...