LLMs (Large Language Models)
LLM tools encompass the foundational models and platforms used to generate, summarize, and transform text. These are the engines behind modern AI, trained on vast datasets to understand and predict language patterns. Tools in this category include proprietary model providers, open-source model hubs, and fine-tuning platforms. Examples Text Generation: Drafting emails, marketing copy, or creative stories. Code Generation: Writing and debugging software code based on natural language prompts. Summarization: Condensing long documents or meeting transcripts into concise bullet points. Translation: Converting text fluently between dozens of languages.
7 tools
Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems.
Cohere develops large language models and APIs for enterprises to deploy chatbots, search, copywriting, and summarization.
Hugging Face is a community and platform for sharing ML models, datasets, and building AI applications with Transformers.
Unsloth AI develops open-source tools for faster and more efficient fine-tuning and reinforcement learning of large language models (LLMs). They achieve this through optimized mathematical computations and custom GPU kernels.