FlowingData

JUNE 10, 2022

I have fond memories of firing up Netscape to punch in a web address I saw in a magazine. Tags: browser. James Eagle used an animated donut chart to show browser share from 1996 to present. It felt like I was opening something top secret. I didn’t realize Internet Explorer took over so quickly.

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Dataconomy

JUNE 14, 2023

This “memory” of prior text is crucial for coherence and relevance in AI responses. turbo can operate effectively with less computational power and memory, which can be a significant advantage in resource-constrained environments. turbo and GPT-4 provide remarkable value despite their higher price tags.

Database 193

Database AI AI Artificial Intelligence 193

FlowingData

DECEMBER 17, 2021

All music can stimulate the brain’s pleasure centers, he said, but holiday music can evoke treasured memories on top of that, courtesy of the brain’s filing system. Tags: Christmas , songs , Washington Post. Tonal patterns and autobiographical events are processed in overlapping regions of the medial prefrontal cortex.

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Hacker News

DECEMBER 27, 2023

Still, it has around 11,000 lines of code, which are mainly dedicated to JavaScriptCore and kernel memory parsing and manipulation. It exploits the JavaScriptCore debugging feature DollarVM ($vm) to gain the ability to manipulate JavaScriptCore’s memory from the script and execute native API functions.

Algorithm 182

Algorithm 182

AWS Machine Learning Blog

MARCH 6, 2024

It also means that you need to use hardware, especially GPUs, with large amounts of memory to store the model parameters. Typically, the batch size (the number of samples used to calculate the gradient in one training step) is limited by the GPU memory capacity. This can cause memory issues.

AWS 95

AWS Machine Learning Machine Learning ML 95

FlowingData

DECEMBER 17, 2021

Effective graphics avoid taxing working memory, guide attention, and respect familiar conventions. Tags: perception , research. Data visualizations can play a critical role in teaching and communication, provided that designers tailor those visualizations to their audience. The paper is free to access.

Data Visualization 113

Data Visualization 113

Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. ChatGPT appears authoritative. It even warns about the vulnerability of the default CBC encryption mode to certain kinds of attacks.

AI 170

AI AI SQL Python 170

Smart Data Collective

AUGUST 25, 2021

Limited memory. Image Tagging. Like visual search, image tagging also uses visual recognition technology. If you click one of the labels, the platform will direct you to visually similar results under that tag. Image tagging offers quick and relevant search results to users. Theory of mind. Image source.

Artificial Intelligence 135

Artificial Intelligence Artificial Intelligence AI AI 135

Pickl AI

MAY 7, 2023

Facial Recognition With the DeepFace technology, Facebook analyses the image and, based on it, recommends the name of the friends for tagging. The Tagging Game: Facial Recognition We love to tag our friends on Facebook. Thus aiding the process of tagging. It’s fun, but do you know what runs behind it?

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Mlearning.ai

JULY 22, 2023

The UI of MakeSense The problem of such is the tons of clicks required to tag the whole dataset, while this platform also include an AI assited tagging, you can either use a model on roboflow, or provide your own model (which required a Tensorflow.js loading the model into memory and allow it being used for each incoming request).

Python 52

Python AWS Data Science AI 52

IBM Data Science in Practice

FEBRUARY 5, 2023

They can create release tags for operations staff or CI/CD pipelines to consume. Consumers can extract code for a release tag from the repository. They can use runtimes environment configurations with large amounts of compute and memory if needed. Data scientists can release code via the project’s associated Git repository.

Python 130

Python Clustering Data Scientist Data Science 130

Dataconomy

MAY 30, 2023

meaningfully tagged) and ‘unlabelled’ (untagged) data, using the already-meaningful (labelled) data to train the AI and improve performance on processing the unlabelled data. with access to NVidia’s Tesla V100S GPU, which offers double the memory of the V100 version provided by other cloud providers. This is when Yepic.AI

AI 182

AI AI Artificial Intelligence Artificial Intelligence 182

Towards AI

FEBRUARY 25, 2023

Read the Data The first step is to get the data and load it to memory. What were the “best” events in TED history to attend? Which occupations deliver the funniest TED talks on average? You can download data from this link: TED Talks. We are using Pandas for data manipulation. Matplotlib, Seaborn, and hvPlot for Data Visualization.

Data Analysis 97

Data Analysis Data Analysis Exploratory Data Analysis Data Science 97

Dataconomy

AUGUST 14, 2023

Engagement with RFID tags and cards In conjunction with NFC, Flipper Zero can engage with RFID, even reading a hotel key card. Some RFID cards and tags can be locked to hinder overwriting, but Flipper Zero has the capability to circumvent certain lock mechanisms, as demonstrated when it offers to unlock the card with a valid reader.

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Hacker News

MARCH 1, 2022

They are my extended memory — my noted self — my organized thoughts. Maybe in each diary entry, the first two lines are like: date: 2022-02-28 tags: where-to-live, kids, dog, anxious. I write almost everything important in my life: thoughts, plans, notes, diaries, correspondence, code, articles, and entire books.

Python 123

Python 123

Towards AI

APRIL 18, 2023

Cosine Similarity for 1 Trillion Pairs of Vectors Introducing ChunkDot pub.towardsai.net I described how ChunkDot works under the hood and I showed some benchmarks against execution time and memory consumption for dense embeddings. Clustering / Tagging / Grouping of documents. Recommendations for similar documents.

Algorithm 83

Algorithm Clustering Python AI 83

Mlearning.ai

FEBRUARY 28, 2023

It can contain information such as CPU, memory, disk resources, etc. Building, Tagging and Pushing the Image The instructions have been written, we can now build the image with the following command syntax in the terminal, from the project root folder. latest docker tag joshuale/yelpreview-v1.4 for the Google Cloud Run service.

Data Science 52

Data Science Python ML ML 52

Dataconomy

SEPTEMBER 13, 2023

While the good old days of unrestricted access seem like a distant memory, one can’t definitively pinpoint if the constraints are due to a surge in user numbers or a strategic maneuver to transition users towards a subscription. What’s the price tag on Claude API?

AI 211

AI AI Artificial Intelligence Artificial Intelligence 211

ODSC - Open Data Science

JUNE 19, 2023

For one, RTOS has excellent resource management mechanisms to ensure that it maximizes the available memory and processing power of a device. These advantages perfectly match the low-resource nature and various real-time constraints affecting the devices used in embedded and IoT systems.

Big Data 96

Big Data Big Data Artificial Intelligence Artificial Intelligence 96

FlowingData

MAY 16, 2023

Many of my best memories throughout life are tied to food, so this one struck home for me. Tags: Alvin Chang , kimchi , Pudding Interact with the items in the story and be sure to turn the sound on. There are charts tucked away for historical context.

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Mlearning.ai

APRIL 1, 2023

The Doc2Vec architecture is similar to Word2Vec in that it consists of two architectures: Distributed Memory (DM) and Distributed Bag of Words (DBOW). Distributed Memory (DM) In the Distributed Memory (DM) variant, the model is trained to predict the next word given the current word and the document vector.

Deep Learning 52

Deep Learning Deep Learning Natural Language Processing Clustering 52

Hacker News

JULY 20, 2023

Resolves YES if: A fixed prompt is found(and posted in the comments) that enables GPT-4 to reliably solve freshly-generated easy-rated Sudoku puzzles from Sudoku - Free daily Sudoku games from the Los Angeles Times (latimes.com), using only its language modeling capabilities and context as memory.

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Towards AI

APRIL 14, 2023

Correctly predicting the tags of the questions is a very challenging problem as it involves the prediction of a large number of labels among several hundred thousand possible labels. Last Updated on April 17, 2023 by Editorial Team Author(s): Kevin Berlemont, PhD Originally published on Towards AI.

K-nearest Neighbors 89

K-nearest Neighbors Algorithm Clustering Support Vector Machines 89

Dataconomy

SEPTEMBER 6, 2023

TFLOPS GPU Memory 4 GB GDDR6 Memory Clock 6001 MHz Memory Interface Width 64-bit Memory Bandwidth (GB/sec) 96 GB/s TGP 25 W* Interface Thunderbolt 3.0 (PCI This pricing might seem high, but it’s worth noting that many external and modular GPU options tend to have elevated price tags. PCI Express 3.0

AI 195

AI AI 195

Mlearning.ai

JULY 17, 2023

Let’s look at what this would imply for the representation of memories stored in the left vs. the right hemisphere: “FIGURE 7.5 See: Chapter 14 of “The New Executive Brain”, by Elkhonon Goldberg, whom I consider the world’s foremost living neuropsychologist, and who is my former mentor, and now a close colleague.)

Machine Learning 52

Machine Learning Machine Learning Data Scientist AI 52

Mlearning.ai

JUNE 1, 2023

Audio Classification is a machine learning task that involves identifying and tagging audio signals into different classes or categories. Sample Data By using image_location, I am able to store images on disk as opposed to loading all the images in memory. During training, images are streamed into the neural network.

Azure 52

Azure Deep Learning Deep Learning AWS 52

FlowingData

APRIL 29, 2022

Nuclear energy has bad memories linked to it, which tends to draw fear from the general public. Tags: branding , nuclear , Washington Post. Harry Stevens, for The Washington Post, explains why some feel the fear is unwarranted : This explanation vastly oversimplifies a great deal of sophisticated engineering. Classic Stevens.

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AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. Prepare Edge devices often come with limited compute and memory compared to a cloud environment where powerful CPUs and GPUs can run ML models easily.

AWS 92

AWS ML ML Internet of Things 92

AWS Machine Learning Blog

NOVEMBER 20, 2023

KT’s AI Food Tag is an AI-based dietary management solution that identifies the type and nutritional content of food in photos using a computer vision model. The AI Food Tag can help patients with chronic diseases such as diabetes manage their diets. In this post, we describe KT’s model development journey and success using SageMaker.

AWS 93

AWS Deep Learning Deep Learning ML 93

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g., With Snorkel Flow, enterprises can use their expert knowledge, organizational resources, and FM/LLMs as supervision sources to programmatically label large amounts of high-quality training data to train models or fine-tune FM/LLMs.

AI 145

AI AI Algorithm Azure 145

Snorkel AI

JUNE 12, 2023

classification, tagging, extraction). Snorkel Flow: For programmatic labeling of predictive AI use cases (e.g., With Snorkel Flow, enterprises can use their expert knowledge, organizational resources, and FM/LLMs as supervision sources to programmatically label large amounts of high-quality training data to train models or fine-tune FM/LLMs.

AI 141

AI AI Algorithm Azure 141

AWS Machine Learning Blog

FEBRUARY 13, 2024

24 large instances with 8 GPU and 40 GB GPU memory. SageMaker provides end-to-end ML development, deployment, and monitoring capabilities such as a SageMaker Studio notebook environment for writing code, data acquisition, data tagging, model training, model tuning, deployment, monitoring, and much more.

AWS 103

AWS AI AI ML 103

Google Research AI blog

DECEMBER 14, 2022

It leverages recent developments in on-device machine learning to transcribe speech , recognize audio events , suggest tags for titles, and help users navigate transcripts. Nonetheless, some Recorder users found it difficult to navigate long recordings that have multiple speakers because it's not clear who said what.

Clustering 59

Clustering Algorithm Machine Learning Machine Learning 59

AWS Machine Learning Blog

MAY 25, 2023

in 2020 as a model where parametric memory is a pre-trained seq2seq model and the non-parametric memory is a dense vector index of Wikipedia, accessed with a pre-trained neural retriever. RAG models were introduced by Lewis et al.

AWS 77

AWS Clustering Python ML 77

Explosion

SEPTEMBER 17, 2013

There are a tonne of “best known techniques” for POS tagging, and you should ignore the others and just use Averaged Perceptron. You should use two tags of history, and features derived from the Brown word clusters distributed here. About 50% of the words can be tagged that way. _timestamps[f][c] = self.i upd_feat(guess, f, -1.0)

Python 40

Python Algorithm Natural Language Processing Supervised Learning 40

ODSC - Open Data Science

JANUARY 29, 2024

Retrieval Augmented Generation (RAG) system can also use Vector databases to act as long-term memory for LLMs via embeddings, storing and retrieving relevant information based on semantic similarity. This enhances the context awareness and factual accuracy of LLM outputs. These templates simplify the process of formulating queries, etc.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

IBM Journey to AI blog

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Routine questions from staff can be quickly answered using AI.

AI 89

AI AI ML ML 89