Do I look like I know what a VAE is!?
submitted by /u/YajuShinki [link] [comments]
Agent or Workflow? A Practical Test for Knowing When You Actually Need an AI Agent
In this article, you will learn the key differences between AI workflows and agents, and how to decide which approach is right for your use…
Compressing Streaming Neural Audio Encoders via Latent-Space Distillation
System-wide Dictation on Apple devices runs entirely on-device, and the speech it transcribes reaches the foundation model through a tokenizer: an encoder that maps short windows of waveform onto the representation the language model reads. Because that model is sparsely activated under Instruction-Following Pruning, only a small subset of its experts occupies DRAM at any …
Read more “Compressing Streaming Neural Audio Encoders via Latent-Space Distillation”
Speaker-labeled transcription with WhisperX on SageMaker AI
Any team working with spoken audio hits the same wall with generic speech-to-text. Think contact-center calls, all-hands meetings, podcasts, depositions, and broadcast media. These workloads need two things that standard transcription gets wrong. First, timestamps land at the utterance level, off by several seconds. Second, there’s no reliable answer to “who said what.” Those gaps …
Read more “Speaker-labeled transcription with WhisperX on SageMaker AI”
Power your agents: Gemini 3.8 Live with Live Avatar is now generally available
Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterprise. First previewed at Google Cloud Next 2026, the technology is now officially ready for enterprise production. As enterprise voice AI evolves …
Read more “Power your agents: Gemini 3.8 Live with Live Avatar is now generally available”
Anonymous Men Have Turned Cyberharassment Into a Group Sport—Here’s One Woman’s Side of the Story
This week on Uncanny Valley, we take you behind our feature on the women struggling after being targeted by the burnerverse.
Making AI more trustworthy by making it red-flag its own doubtful answers
Artificial intelligence models can give users the wrong answer and do so with great confidence. They can also hedge and warn that they are unsure—even when they get the answer right.
Qwen Image 2.1 is an EDITING Beast
Just a few tests with the new Qwen Image 2.1. Although it is not a good T2I, the editing capabilities seem to exceed any other open weights model. What do you think? Prompts: Change all Coca Cola cans of <image1> by the can of <image2>. Keep then cans crushed as in <image1>. Make the white …
RAG vs. Fine-Tuning for Domain Adaptation: When to Use Which
In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide…
How to Guide Your Language Flow
We introduce a new method to guide flow matching models. Our approach, which we call probe guidance, uses the frozen internal states of an existing diffusion model to construct a guidance signal. This works using a similar principle as autoguidance, but eliminates the need for an additional forward pass at inference time and provides a …