Entry Point is a modern fine-tuning platform for proprietary and open-source large language models, including GPT, Llama-2, and Mistral. The platform makes it easy to train models from leading LLM providers, allowing users to fine-tune their own model and extract the maximum potential from large language models. $#$#Some key features of Entry Point include higher quality results, faster generation, more predictable outputs, scalability, the ability to train across providers, and the option to work collaboratively with a team. Additionally, Entry Point offers a templating engine to help users iterate rapidly, and it’s easy to import and export data.$#$#Users can take advantage of Entry Point in numerous use cases, including content creation, tagging and classification, data extraction, prioritization, recommendations, fraud detection, moderation, data enrichment, and scoring and ranking. $#$#The platform has received high praise from customers who have found it easy to use and an essential tool for fine-tuning models. For those new to fine-tuning, Entry Point offers a free LLM Fine-tuning Masterclass to help beginners learn the basics and train their first custom models.$#$#Entry Point provides an efficient way to train, manage, and evaluate custom large language models without coding. Users can quickly fine-tune their models and achieve higher quality results, faster generation, and more predictable outputs. As a result, Entry Point can be utilized in a variety of use cases, and with the provided Masterclass, it’s possible for beginners to utilize the platform to achieve their goals as well.