Abstract: In this paper we introduce a general estimation methodology for learning a model of human perception and control in a sensorimotor control task based upon a finite set of demonstrations. The ...
Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI). However, as the user base expands and the frequency of usage increases, deploying these ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...
oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...
!pip -q install "transformers>=4.49" "optimum[onnxruntime]>=1.20.0" "datasets>=2.20" "evaluate>=0.4" accelerate from pathlib import Path import os, time, numpy as np, torch from datasets import ...
NVIDIA introduces the Run:ai Model Streamer, significantly reducing cold start latency for large language models in GPU environments, enhancing user experience and scalability. In a significant ...
FriendliAI, an AI inference platform startup, has raised $20 million in a seed extension round, the company told Crunchbase News exclusively. For the unacquainted, AI inference is the “last mile” ...
Thanks for your response! Yes, 480x640 and 448x672 work fine, but inference is very slow. I haven't tried TensorRT yet.
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