Here, prompt engineers get a tool to build and manage the prompts needed to deliver coherent AI applications in a way that allows application developers to use them in their code.

Semantic Kernel distinguishes between semantic functions, templated prompts, and native functions, i.e. the native computer code that processes data for use in the LLM’s semantic functions.

We’ll explore how Prompt Poet can streamline the creation of dynamic, data-rich prompts, enhancing the effectiveness of your LLM applications. The AI Impact Series Returns to San Francisco ...

Meta AI has unveiled its latest innovation in artificial intelligence (AI), Code Llama. Meta’s latest large language model (LLM) is poised to change how code is written, understood, and debugged.

LLMs are taking the spotlight as they weave into everyday products. Security testing is key—focus on prompt injection, data ...

AI system prompt hardening is the practice of securing interactions between users and large language models (LLMs) to prevent malicious manipulation or misuse of the AI system. It’s a discipline that ...

Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 ...

Machine learning (ML) and generative AI (GenAI) are reshaping the organizational landscape. Companies increasingly recognize that AI drives innovation, helps sustain competitiveness and boosts ...

Securiti’s distributed LLM firewall is designed to be deployed at various stages of a genAI application workflow such as user prompts, LLM responses, and retrievals from vector databases, and ...