PROMPT ENGINEERING

TDS Newsletter: Beyond Prompt Engineering: The Latest Frontiers of LLM Optimization

Never miss a brand new edition of , our weekly newsletter featuring a top-notch number of editors’ picks, deep dives, community news, and more. Most of the issues practitioners encountered when LLMs first burst onto the...

Why the Sophistication of Your Prompt Correlates Almost Perfectly with the Sophistication of the Response, as Research by Anthropic Found

, the thought has circulated within the AI field that prompt engineering is dead, or not less than obsolete. This, on one side because pure language models have turn out to be more flexible...

Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Automobile Example

Optimizing Multimodal Agents Multimodal AI agents, those who can process text and pictures (or other media), are rapidly entering real-world domains like autonomous driving, healthcare, and robotics. In these settings, we now have traditionally used...

Prompt Engineering vs RAG for Editing Resumes

accomplishments and qualifications, I'm seeing a lower yield of job application to interview, especially throughout the past 12 months or so. In common with others, I actually have considered Large Language Models (LLMs)...

The right way to Turn Your LLM Prototype right into a Production-Ready System

applications of LLMs are those that I wish to call the “.” There are many viral LinkedIn posts about them, and so they all sound like this: “I built that does in...

LLM-Powered Time-Series Evaluation

data all the time brings its own set of puzzles. Every data scientist eventually hits that wall where traditional methods begin to feel… limiting. But what if you happen to could push beyond those limits...

Constructing Research Agents for Tech Insights

ChatGPT something like: “Please scout all of tech for me and summarize trends and patterns based on what you think that I could be serious about,” you recognize that you simply’d get something...

Declarative and Imperative Prompt Engineering for Generative AI

refers back to the careful design and optimization of inputs (e.g., queries or instructions) for guiding the behavior and responses of generative AI models. Prompts are typically structured using either the declarative or...

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