Practical Applications of Generative AI

Generative AI (GenAI) has become a major component of the artificial intelligence (AI) and machine learning (ML) industry. In the InfoQ "Practical Applications of Generative AI" eMag, we present real-world solutions and hands-on practices from leading GenAI practitioners.

This emag includes:

• "Maximizing the Utility of Large Language Models (LLMs) through Prompting", in which authors Numa Dhamani and Maggie Engler describe prompt engineering and how its techniques can help engineers use large language models (LLMs) more effectively to achieve better results.
• "Navigating LLM Deployment: Tips, Tricks, and Techniques" by Meryem Arik focuses on self-hosted LLMs and how to get the best performance from them. The author provides best practices on how to overcome challenges due to model size, GPU scarcity, and a rapidly evolving field.
• "Llama 3 in Action: Deployment Strategies and Advanced Functionality for Real-World Applications" by Tingyi Li details the enhanced capabilities of the open-source Llama 3 LLM, and how businesses can adopt the model in their applications.
• "Virtual Panel: What to Consider when Adopting Large Language Models" brings four of our authors together to discuss topics such as: how to choose between an API-based vs. self-hosted LLM, when to fine-tune an LLM, how to mitigate LLM risks, and what non-technical changes organizations need to make when adopting LLMs.

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