inference

Hugging Face, inference technology for SLM, ‘Test-Time Scaling’ open source released

Hugging Face has unveiled technology to enhance the inference performance of the open source Small Language Model (sLM). Like OpenAI's 'o1', it is predicated on the 'Test-Time Compute' method, which improves response quality by...

The Best Inference APIs for Open LLMs to Enhance Your AI App

Imagine this: you have got built an AI app with an incredible idea, however it struggles to deliver because running large language models (LLMs) looks like attempting to host a concert with a cassette...

Combining Large and Small LLMs to Boost Inference Time and Quality

Implementing Speculative and Contrastive DecodingLarge Language models are comprised of billions of parameters (weights). For every word it generates, the model has to perform computationally expensive calculations across all of those parameters.Large Language models...

Greg Brockman, Chairman of OpenAI, “Specializing in infrastructure business beyond software”

OpenAI Chairman Greg Brockman participated within the SK 'AI Summit' keynote session on the 4th and confirmed OpenAI's entry into the 'infrastructure business' field, including manufacturing its own chips. Chairman Brockman said, “Developing artificial general...

Using Objective Bayesian Inference to Interpret Election Polls

Tips on how to construct a polls-only objective Bayesian model that goes from a state polling result in probability of winning the stateWith the presidential election approaching, a matter I, and I expect many...

Microsoft’s Inference Framework Brings 1-Bit Large Language Models to Local Devices

On October 17, 2024, Microsoft announced BitNet.cpp, an inference framework designed to run 1-bit quantized Large Language Models (LLMs). BitNet.cpp is a big progress in Gen AI, enabling the deployment of 1-bit LLMs efficiently...

AMD mass-produces AI chip with higher inference ability than GPU by the tip of this 12 months… Stock price falls

AMD released a brand new artificial intelligence (AI) chip and server chip, difficult Nvidia and Intel, the leaders in each market. Nonetheless, the market's response appears to be somewhat cold. Reuters and CNBC reported on...

TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Because the demand for big language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has develop into more crucial than ever. NVIDIA's TensorRT-LLM steps in to handle this challenge by providing...

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