Best AI tools for< Delphi Developer >
Infographic
1 - AI tool Sites

Stark.ai
Stark.ai is an AI-powered job search tool that revolutionizes the way job seekers navigate their professional journey. It offers a range of features such as Resume Builder, Career Guru AI insights, Job Match Score, ATS Friendliness Check, and Skill Builder to help users enhance their skills, optimize their resumes, and streamline their job search process. Stark.ai empowers users to get noticed, get hired faster, and transform their careers with AI-driven precision.
12 - Open Source Tools

Delphi-AI-Developer
Delphi AI Developer is a plugin that enhances the Delphi IDE with AI capabilities from OpenAI, Gemini, and Groq APIs. It assists in code generation, refactoring, and speeding up development by providing code suggestions and predefined questions. Users can interact with AI chat and databases within the IDE, customize settings, and access documentation. The plugin is open-source and under the MIT License.

awesome-chatgpt
Awesome ChatGPT is an artificial intelligence chatbot developed by OpenAI. It offers a wide range of applications, web apps, browser extensions, CLI tools, bots, integrations, and packages for various platforms. Users can interact with ChatGPT through different interfaces and use it for tasks like generating text, creating presentations, summarizing content, and more. The ecosystem around ChatGPT includes tools for developers, writers, researchers, and individuals looking to leverage AI technology for different purposes.

DelphiOpenAI
Delphi OpenAI API is an unofficial library providing Delphi implementation over OpenAI public API. It allows users to access various models, make completions, chat conversations, generate images, and call functions using OpenAI service. The library aims to facilitate tasks such as content generation, semantic search, and classification through AI models. Users can fine-tune models, work with natural language processing, and apply reinforcement learning methods for diverse applications.

llama.cpp
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud. It provides a Plain C/C++ implementation without any dependencies, optimized for Apple silicon via ARM NEON, Accelerate and Metal frameworks, and supports various architectures like AVX, AVX2, AVX512, and AMX. It offers integer quantization for faster inference, custom CUDA kernels for NVIDIA GPUs, Vulkan and SYCL backend support, and CPU+GPU hybrid inference. llama.cpp is the main playground for developing new features for the ggml library, supporting various models and providing tools and infrastructure for LLM deployment.

Awesome-LLM-in-Social-Science
Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

syncode
SynCode is a novel framework for the grammar-guided generation of Large Language Models (LLMs) that ensures syntactically valid output with respect to defined Context-Free Grammar (CFG) rules. It supports general-purpose programming languages like Python, Go, SQL, JSON, and more, allowing users to define custom grammars using EBNF syntax. The tool compares favorably to other constrained decoders and offers features like fast grammar-guided generation, compatibility with HuggingFace Language Models, and the ability to work with various decoding strategies.

flo-ai
Flo AI is a Python framework that enables users to build production-ready AI agents and teams with minimal code. It allows users to compose complex AI architectures using pre-built components while maintaining the flexibility to create custom components. The framework supports composable, production-ready, YAML-first, and flexible AI systems. Users can easily create AI agents and teams, manage teams of AI agents working together, and utilize built-in support for Retrieval-Augmented Generation (RAG) and compatibility with Langchain tools. Flo AI also provides tools for output parsing and formatting, tool logging, data collection, and JSON output collection. It is MIT Licensed and offers detailed documentation, tutorials, and examples for AI engineers and teams to accelerate development, maintainability, scalability, and testability of AI systems.

Awesome-World-Models
This repository is a curated list of papers related to World Models for General Video Generation, Embodied AI, and Autonomous Driving. It includes foundation papers, blog posts, technical reports, surveys, benchmarks, and specific world models for different applications. The repository serves as a valuable resource for researchers and practitioners interested in world models and their applications in robotics and AI.

ClickHouse
ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real-time. It offers quick high-level overview, tutorials, documentation, video content, real-time chat support, and various events for users. The tool is designed for real-time analytics and data reporting tasks, providing a scalable and efficient solution for managing analytical data.
4 - OpenAI Gpts

COPILOT - Delphi Assistente de código
Este GPT fornece assistência detalhada e específica para o desenvolvimento de aplicações em Delphi, sempre retornando blocos de código únicos.

Oraculum
Create, Edit or Replicate images! Pro Settings. Updated 12/24 🎄 v0.5. ~~~~Oraculum embodies the visionary spirit of Delphi’s ancient seers, crafting precise AI media with the wisdom of Hephaestus’ forge and the grace of Athena’s olive branch. Show or speak your vision.