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How LLMs are learning to differentiate spatial sounds - Vimarsana News

How LLMs are learning to differentiate spatial sounds

Researchers have introduced what they call the first spatial, audio-based LLM that can reason about sounds in a 3-D environment.

Prototype AI Apps with SenseCAP K1100 - Circuit Cellar - Vimarsana News

Prototype AI Apps with SenseCAP K1100 - Circuit Cellar

In Part 1 of this article series, I tested and reviewed Seeed Studio’s SenseCAP K1100 Kit for prototyping IoT apps. This month in Part 2, I discuss the prototype I built using a Wio Terminal and a Vision AI Module from the kit, and an ESP32-based audio player/web server. The system detects when my dog tries to “mark territory” in my yard, then plays an audio warning file of my recorded voice to try to distract the dog and stop the behavior.

fast.ai - Can LLMs learn from a single example? - Vimarsana News

fast.ai - Can LLMs learn from a single example?

We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.

Source: fast.ai
Apply for Hackathon on Plastic-Free Rivers with Artificial Intelligence Towards Sustainability - Vimarsana News

Apply for Hackathon on Plastic-Free Rivers with Artificial Intelligence Towards Sustainability

Deadline: 9-Jul-23 RACE REVA University has launched the Hackathon on Plastic-Free Rivers With Artificial Intelligence Towards Sustainability to create

Mean Average Precision (mAP): Definitions & Misconceptions - Vimarsana News

Mean Average Precision (mAP): Definitions & Misconceptions

We explain, define, and demystify common object detection metrics, including mean average precision (mAP) and mean average recall (mAR).

Source: medium.com