Found free AI software-Riter.app and Entry Point AI-AI

Entry Point AI is a versatile no-code platform designed to unlock the potential of custom AI solutions for businesses of all sizes. The platform enables businesses to manage data, fine-tune models, and optimize performance without the need for programming expertise. With Entry Point AI, users can accurately classify data using finely-tuned Large Language Models (LLMs) and surpass traditional machine learning approaches with fewer examples. This allows for precise ranking of potential customers, content filtering, prioritizing support issues, and more. The platform offers a structured data approach, allowing users to organize content into logical and editable fields within prompts and completion templates. This makes it easy to write new examples or generate high-quality examples with the help of AI tools. Entry Point AI also provides advanced fine-tuning management capabilities, allowing users to evaluate the performance of their AI models and regularly enhance their data for better results. Notable features of Entry Point AI include no-code AI training, maintaining data integrity, and fast training using synthetic data. The platform excels at addressing various business challenges, offering unparalleled accuracy and efficiency. Use cases for Entry Point AI include prioritizing support issues, automatically redacting confidential information in legal documents, AI-generated copywriting, lead scoring and qualification, and AI-enhanced email marketing subject lines. Overall, Entry Point AI provides businesses with a game-changing platform to harness the limitless potential of AI and transform their operations.

The main features of Entry Point AI include: 1. No-code AI training: Eliminating the need for command lines, Python scripts, or custom API calls, simplifying the fine-tuning process. Simply import spreadsheets, design prompts, and complete templates to start training with just one click. 2. Maintaining data integrity: Adjustable field architecture allows you to import data columns, integrate them into templates, and make changes easily without compromising data integrity. 3. Fast training with synthetic data: Generate custom synthetic data tailored to your project from just a few initial examples. Build comprehensive datasets by optimizing synthetic data, which can be deployed to OpenAI, AI21, or downloaded as JSONL files.