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AI Takes a Bow: Interactive GLaDOS Robot Among 9 Winners in Hackster.io Challenge

NVIDIA

Niewinski won first place in the generative AI applications category for his innovative robot based on the GLaDOS guide from game series Portal , the first-person puzzle platform from video game developer Valve. This system taught the model how clothes fit different poses on people, which he said enhanced the realism of the try-ons.

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AWS positioned in the Leaders category in the 2022 IDC MarketScape for APEJ AI Life-Cycle Software Tools and Platforms Vendor Assessment

AWS Machine Learning Blog

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The company had to be among the top 15 vendors by the reported revenues of 2020–2021 in the APEJ region, according to IDC’s AI Software Tracker. AWS position.

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Best Machine Learning Datasets

Flipboard

This dataset is a good fit for people looking to detect infrastructure damage or people conducting inspections with aerial platforms. Image classification involves assigning a label to an image from a predetermined set of categories. This labeled dataset serves as the training data for the machine learning model.

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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”. Frameworks like Kedro, ZenML, and Metaflow fall into this category. That said, most people we talk to call the component that solves it an “experiment tracker” or an “experiment tracking tool”.

DevOps 59
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LLM Fine-Tuning and Model Selection Using Neptune and Transformers

The MLOps Blog

That just about fits in the 16 GB of memory that the T4 in the free tier offers. is a machine learning experiment tracker and model registry. Hence, our evaluation strategy falls into the `Public Benchmarks` category, as it relies on a well-known dataset to evaluate PTBR models. GB of memory to load the model and 11.5

LLM 52
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Reflections on running spaCy: commercial open-source NLP

Ines Montani

Most open-source projects roughly fall into one of three categories: Private “I made a thing and it’s over here.” All of this makes spaCy a good fit for production use, and we’re excited to see more and more companies using it to power great products. Community “Let’s make a thing together.” Commercial “We made a product and it’s free.”

NLP 52
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Object Detection in 2024: The Definitive Guide

Viso.ai

With deep learning networks and the computing power of GPUs, the performance of object detectors and trackers has greatly improved, achieving significant breakthroughs in object detection. The image object detector generates scores for the presence of each object category in each default box and adjusts the box to better fit the object shape.