Categories: AI/ML News

An embodied conversational agent that merges large language models and domain-specific assistance

Large language models (LLMs) are advanced deep learning techniques that can interact with humans in real-time and respond to prompts about a wide range of topics. These models have gained much popularity after the release of ChatGPT, a model created by OpenAI that surprised many users for its ability to generate human-like answers to their questions.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Update: Distilled v1.1 is live

We've pushed an LTX-2.3 update today. The Distilled model has been retrained (now v1.1) with…

19 hours ago

How to Implement Tool Calling with Gemma 4 and Python

The open-weights model ecosystem shifted recently with the release of the

19 hours ago

Structured Outputs vs. Function Calling: Which Should Your Agent Use?

Language models (LMs), at their core, are text-in and text-out systems.

19 hours ago

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation…

19 hours ago

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Building effective reward functions can help you customize Amazon Nova models to your specific needs,…

19 hours ago

How to find the sweet spot between cost and performance

At Google Cloud, we often see customers asking themselves: "How can we manage our generative…

19 hours ago