Explore the codebase and learn how agent mode is implemented, what context is sent to LLMs, and how we engineer our prompts.' ...

Requirement-Oriented Prompt Engineering (ROPE) helps users craft precise prompts for complex tasks, improving the quality of LLM outputs and driving more efficient human-AI collaborations. Study ...

At first glance, building a large language model (LLM) like GPT-4 into your code might seem simple. The API is a single REST call, taking in text and returning a response based on the input.But in ...

For instance: “// Generate the code using recursion” Data Structures: Gemini can generate code for working with data structures. Include clear examples or descriptions in your prompts.

Low Code Approach: Simplifies prompt design for both technical and non-technical users, unlike more code-intensive frameworks . Template Flexibility : Uses YAML and Jinja2 to support complex ...

Marketers use generative AI to write and edit copy, software developers use it to generate code, data analysts use it to clean and analyze datasets…the potential applications of generative AI ...

Using BigCode as the base for an LLM generative AI code tool is not a new idea. HuggingFace and ServiceNow launched the open StarCoder LLM back in May, which is fundamentally based on BigCode.

Today's generative artificial intelligence models can create everything from images to computer applications, but the quality ...

Each model generates a certain number of “thinking tokens” per query, and those tokens correlate with CO₂ emissions. When the ...

Fine-tuning an LLM, or using retrieval augmented generation, can improve a model’s accuracy, but don’t directly protect against prompt injection vulnerabilities.