There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...
No code, no problem ...
See 10 good vs bad ChatGPT prompts for 2026, with examples showing how context, roles, constraints, and format produce useful answers.
You can even self-host it!
Any AI agent will go above and beyond to complete assigned tasks, even breaking through their carefully designed guardrails.
Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...
In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...
Superconducting quantum design has called for specialised expertise working with mostly improvised design tools within a homegrown workflow ...
Adaptation finance in the country is not merely about carbon markets and tech transfer. It’s about community level changes to make agriculture more resilient and institutional improvements to insulate ...
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