It is the age of AI
Artificial intelligence is slowly changing the way we live and work, and AI’s popularity is driving adoption in enterprise and consumer apps. AI presents a huge opportunity for developers to infuse apps with solutions powered by Generative AI and Large/Small Language Models, but AI applications have to be ethical and responsible. Generative AI also promises to make developers more productive with contextual coding assistance and task automation. Let's explore possibilities.
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AI Web React
Building a Chat Interface with KendoReact and AI—Part 3
Now that we’ve built our chatbot with KendoReact and OpenAI, we’ll finalize it with the AIPrompt component for a polished interaction. -
AI Design UX
The Future of AI in Design Engineering: Tools or Replacements?
Engineers have always used tools to improve their work. Rather than a job replacement, AI is powerful tool for design engineers to explore and leverage. -
AI Web React
Building a Chat Interface with KendoReact and AI—Part 2
We will build on the chat interface we created with KendoReact, this time adding OpenAI to create a chatbot with dynamic responses. -
AI Web Blazor
Build a Token Visualizer in Dotnet
Using the dotnet stack of Blazor, MLNET and Telerik UI for Blazor, create a simple tool for visualizing how text is encoded by LLMs. The visualizer can be used to complement your AI development workflow by estimating token size in a given prompt, showing how LLMs see text data, and can be included in applications to estimate a user’s chat input. -
AI Web Angular
Prototyping Web Apps with AI: Pair Programming with a Robot Friend
See a real experience using ChatGPT to help prototype a web application and get some developer advice on how to use it well.
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