training Archives

Devang Sachdev, Snorkel AI: On easing the laborious process of labelling data

Correctly labelling training data for AI models is vital to avoid serious problems, as is using sufficiently large datasets. However, manually labelling massive amounts of data is time-consuming and laborious.

Using pre-labelled datasets can be problematic, as evidenced by MIT having to pull its 80 Million Tiny Images datasets. For those unaware, the popular dataset was found to contain thousands of racist and misogynistic labels that could have been used to train AI...

30 September 2022 | Development

Meta claims its new AI supercomputer will set records

Meta (formerly Facebook) has unveiled an AI supercomputer that it claims will be the world’s fastest.

The supercomputer is called the AI Research SuperCluster (RSC) and is yet to be fully complete. However, Meta’s researchers have already begun using it for training large natural language processing (NLP) and computer vision models.

https://www.youtube.com/watch?v=fZnykn1tDSE

RSC is set to be fully built in mid-2022. Meta says that it will be the fastest in the...

25 January 2022 | Applications

OpenAI now allows developers to customise GPT-3 models

OpenAI is making it easy for developers to “fine-tune” GPT-3, enabling custom models for their applications.

The company says that existing datasets of “virtually any shape and size” can be used for custom models.

A single command in the OpenAI command-line tool, alongside a user-provided file, is all that it takes to begin training. The custom GPT-3 model will then be available for use in OpenAI’s API immediately.

One customer says that it was...

15 December 2021 | Development

MLCommons releases latest MLPerf Training benchmark results

Open engineering consortium MLCommons has released its latest MLPerf Training community benchmark results.

MLPerf Training is a full system benchmark that tests machine learning models, software, and hardware.

The results are split into two divisions: closed and open. Closed submissions are better for comparing like-for-like performance as they use the same reference model to ensure a level playing field. Open submissions, meanwhile, allow participants to submit a...

30 June 2021 | Google

Enterprise AI platform Dataiku announces fully-managed online service

Dataiku has announced a fully-managed online version of its enterprise AI platform to help smaller companies get started.

The data science platform enables raw data to be converted into actionable insights through data visualisation or the creation of dashboards and also supports training machine learning models.

https://www.youtube.com/watch?v=XTBms2LeGII

“Accessibility has always been of the utmost importance at Dataiku. We developed Dataiku Online to address...

14 June 2021 | Enterprise

NVIDIA breakthrough emulates images from small datasets for groundbreaking AI training

NVIDIA’s latest breakthrough emulates new images from existing small datasets with truly groundbreaking potential for AI training.

The company demonstrated its latest AI model using a small dataset – just a fraction of the size typically used for a Generative Adversarial Network (GAN) – of artwork from the Metropolitan Museum of Art.

From the dataset, NVIDIA’s AI was able to create new images which replicate the style of the original artist’s work. These images...

7 December 2020 | NVIDIA

Nvidia and ARM will open ‘world-class’ AI centre in Cambridge

Nvidia wants to provide its commitment to the UK AI industry by opening a “world-class” centre in Cambridge.

British chip designer ARM’s technology is at the heart of most mobile devices. Meanwhile, Nvidia’s GPUs are increasingly being used for AI computation in servers, desktops, and even things like self-driving vehicles.

However, Nvidia was most interested in ARM’s presence in edge devices—which it estimates to be in the region of 180...

14 September 2020 | Machine Learning

NVIDIA’s AI-focused Ampere GPUs are now available in Google Cloud

Google Cloud users can now harness the power of NVIDIA’s Ampere GPUs for their AI workloads.

The specific GPU added to Google Cloud is the NVIDIA A100 Tensor Core which was announced just last month. NVIDIA says the A100 “has come to the cloud faster than any NVIDIA GPU in history.”

NVIDIA claims the A100 boosts training and inference performance by up to 20x over its predecessors. Large AI models like BERT can be trained in just 37 minutes on a cluster of 1,024...

8 July 2020 | Google

MIT has removed a dataset which leads to misogynistic, racist AI models

MIT has apologised for, and taken offline, a dataset which trains AI models with misogynistic and racist tendencies.

The dataset in question is called 80 Million Tiny Images and was created in 2008. Designed for training AIs to detect objects, the dataset is a huge collection of pictures which are individually labelled based on what they feature.

Machine-learning models are trained using these images and their labels. An image of a street – when fed into an AI trained...

2 July 2020 | Ethics & Society

Do you even AI, bro? OpenAI Safety Gym enhances reinforcement learning

Elon Musk-founded OpenAI has opened the doors of its "Safety Gym" designed to enhance the training of reinforcement learning agents.

OpenAI describes Safety Gym as "a suite of environments and tools for measuring progress towards reinforcement learning agents that respect safety constraints while training."

Basically, Safety Gym is the software equivalent of your spotter making sure you're not going to injure yourself. And just like a good spotter, it will check your...