Generative AI | News, how-tos, features, reviews, and videos
Are you ready to become an 'AI psychologist'? Now is the time to get in on the ground floor of this lucrative new career. Here's how to do it.
Kinetica's self-developed large language model, designed to enable SQL queries from natural language prompts in its relational database, targets security-sensitive customers including US government defense organizations.
Generative AI is already proving helpful across many relatively basic use cases, but how does it hold up when tasked with more technical guidance?
As part of the learning curve with AI and LLMs, experiment all you want, but take the results with some skepticism, especially if you’re using it to write your code.
Einstein AI tools due in a fall pilot include a conversational assistant built into every Salesforce app and a studio for building AI-powered apps with custom prompts, skills, and AI models.
Llama 2 Chat can generate and explain Python code quite well, right out of the box. Code Llama’s fine-tuned models offer even better capabilities for code generation.
Llama 2 is a family of generative text models designed for chat use cases and natural language generation tasks. Code Llama models are fine-tuned for programming tasks.
Generative AI can provide valuable analysis and insights to IT operators. But what about data security, reliability, workflow integration, and the conditions needed for successful deployment?
From data availability and security to model selection and monitoring, adding generative AI means re-examining your cloud architecture.
LangChain is a modular framework for Python and JavaScript that simplifies the development of applications that are powered by generative AI language models.