Perplexity has released pplx-embed, a collection of multilingual embedding models optimized for large-scale retrieval tasks. These models are designed to handle the noise and complexity of web-scale ...

In the high-stakes world of AI infrastructure, the industry has operated under a singular assumption: flexibility is king. We build general-purpose GPUs because AI models change every week, and we ...

Moonshot AI has officially brought the power of OpenClaw framework directly to the browser. The newly rebranded Kimi Claw is now native to kimi.com, providing developers and data scientists with a ...

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a ...

For the past year, AI devs have relied on the ReAct (Reasoning + Acting) pattern—a simple loop where an LLM thinks, picks a tool, ...

The development of large language models (LLMs) has been defined by the pursuit of raw scale. While increasing parameter counts into the trillions initially ...

In this tutorial, we build an end-to-end visual document retrieval pipeline using ColPali. We focus on making the setup robust by resolving common dependency ...

Building AI agents is the new gold rush. But every developer knows the biggest bottleneck: getting the AI to actually communicate to your data.

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

At the heart of Parakeet TDT 0.6B’s appeal is its unmatched speed and transcription quality. The model can transcribe 60 minutes of audio in just one second, a performance that’s over 50x faster than ...