An intuitive introduction to text embeddings
Text embeddings are key to LLMs and convert text into vector coordinates.
AI is only as good as the data: Q&A with Satish Jayanthi of Coalesce
AI is garbage in, garbage out, so feed it good data.
Retrieval augmented generation: Keeping LLMs relevant and current
Retrieval augmented generation (RAG) is a strategy that helps address both LLM hallucinations and out-of-date training data.
Is AI enough to increase your productivity?
Being an effective coder with a code generation tool still requires you to be an effective coder without one.
Integrating AI tools into your workflow
For AI tools to be useful to your team, they have to fit into your existing workflows.
Meetings are the worst. Let’s reduce their blast radius
The home team talks with Matt Martin, cofounder and CEO of Clockwise, which offers AI-powered time management and scheduling tools.
USB-C for all, PHP 4EVA, and what do LLMs actually know (if anything)?
Ben and Ryan settle in for a wide-ranging discussion about whether large language models know anything, whether language ability is unique to humans, and what the end of the Hollywood writers’ strike says about the future of AI-generated content.
Back to the topic of image generation with AI – CyberSEO Pro
Learn how to automatically generate AI-crafted images for your autoblogging articles, based on AI analysis of the content. Boost your SEO with the CyberSEO Pro plugin for WordPress.
Like Python++ for AI developers
This is part two of our conversation with Chris Lattner, creator of Swift, Clang, and LLVM and CEO/cofounder of Modular AI.
Mojo: The usability of Python with the performance of C
Chris Lattner helped create Swift, Clang, and LLVM. Now CEO and cofounder of Modular AI, he tells the home team how they built Mojo, a new programming language for AI developers that can be thousands of times faster than Python.