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Learn how to effectively utilize the latest prompting strategies and resources to build practical use cases and applications with LLMs
Recent language models use advanced prompting techniques, including few-shot, zero-shot, and chain-of-thought prompting, to perform a variety of tasks.
Advanced prompting techniques like self-consistency and tree of thoughts unlock the full potential of the models. Dive into the state-of-the-art prompting with us.
By structuring effective prompts, users can boost the capacity, understanding, enabling applications like content creation, question answering, code generation, and more.
Discover how AI APIs power solutions across sectors by streamlining processes, enhancing analytics, automating tasks, and improving user experiences in real-time applications.
What is LLM. How is AI Inference different from training. Is API a part of AI. We collected all the questions an AI novice can have. This is the FAQ for the beginners, your LLM Basics.
In-depth analysis comparing AI models' performance across diverse scenarios, including code generation, visual processing, and multimedia content creation tasks.