Google Research AI blog

JUNE 21, 2023

Imagine plotting two particles’ locations vs. time. If the particles stay put, the plot would simply be two parallel lines, representing their constant locations. The fusion rules of non-Abelian anyons We investigate fusion rules by studying how a pair of D3Vs interact with the bishop-like plaquette violations introduced above.

AI 86

AI AI 86

The MLOps Blog

JANUARY 24, 2024

PyMC and ArviZ are an excellent pairing of open-source Python libraries for modeling and visualizing Bayesian models. PyMC provides an intuitive API for describing observables, priors, and likelihoods, while ArviZ produces standard plots with just a few lines of code. You’ll see that both libraries work very well together.

Metadata 59

Metadata Python Data Scientist ML 59

Towards AI

JULY 17, 2023

Today, we will introduce the concept of cost functions, show common examples and learn how to code and plot them. x + noise; return std::make_pair(x, y);}); If we plot this sample using any spreadsheet software, we get something like this: Note that we know the formula of G(X) and F(X). As always, from scratch in pure C++ and Eigen.

Deep Learning 67

Deep Learning Machine Learning Neural Network Artificial Intelligence 67

PyImageSearch

JULY 17, 2023

script sets up the autoencoder model hyperparameters and creates an output directory for storing training progress metadata, model weights, and post-training analysis plots. saved model weights or performance plots) are stored. reconstruction plots). This would be a 2D plot since the EMBEDDING_DIM is 2. The config.py

Computer Vision 98

Computer Vision Deep Learning Python Machine Learning 98

Towards AI

JANUARY 28, 2023

Calculate the correlation coefficient and correlation plot A correlation coefficient is a number between -1 and 1 that tells the strength (along with direction) between features of the dataset. A correlation plot helps in visualizing correlation coefficients between features of the dataset.

Machine Learning 52

Machine Learning Data Analysis ML AI 52

Viso.ai

APRIL 17, 2024

Let’s plot this to visualize how variance differs across feature space. Let’s plot this to visualize how variance differs across feature space. You can this plot to decide how many final features you want to extract from PCA. Once the data is created, let’s visualize it using a 3D plot. I’m choosing 3 in this case.

Python 52

Python Machine Learning NLP Computer Vision 52

Mlearning.ai

JUNE 10, 2023

To plot the contour of the loss function, we begin by selecting a center point W* , which represents the set of weights after the full training. Random sets The idea is to plot a function of the following form : Loss function form As mentioned earlier, δ and η are direction vectors with values ranging from [-1, 1]. That’s about it!

Neural Network 52

Neural Network Algorithm Explainability AI 52

ML @ CMU

DECEMBER 1, 2023

Constructiveness 0.60 [0.55, 0.64] 0.001 0.37 (2) Author-outcome bias The graphs below depict the review score given to a paper by a reviewer on the x axis, plotted against the evaluation score for that review by evaluators on the y axis. Take any pair of evaluators and any pair of reviews that receives an evaluation from both evaluators.

Machine Learning 63

Machine Learning 63

AssemblyAI

AUGUST 1, 2023

The PM ascribes a numerical value or “ preference score ” to a prompt/response pair, where a pair with a higher score is considered more preferable to another pair with a lesser score. Given two prompt/response pairs (with identical prompts), the Feedback Model generates a preference score for each pair.

AI 130

AI AI LLM Large Language Models 130

Heartbeat

FEBRUARY 22, 2024

This lets you use natural language to execute Pandas' commands, like manipulating data frames and plotting a graph. Overview of PandasAI PandasAI is a powerful Python library that uses generative AI models to make Pandas conversational. You can also view it on the Comet Platform.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence LLM OpenAI 52

Towards AI

MAY 10, 2024

GLCM is a matrix representing the relative frequencies of a pair of grey levels present at a certain distance apart and a particle angle. In Figure 6, the data points have been classified into two classes, and a new data point with an unknown class is added to the plot. Figure 3 shows how the GLCM is determined.

Machine Learning 85

Machine Learning Algorithm AI AI 85

Mlearning.ai

JULY 17, 2023

Gower distance is a metric used to calculate the similarity between pairs of objects or observations in a dataset. The Gower distance matrix is then calculated using the gower_matrix function, which computes the Gower distance for each pair of data points. Finally, a scatter plot is created to visualize the clusters.

Categorization 52

Categorization Algorithm Deep Learning Data Analysis 52

Shreyansh Singh

FEBRUARY 18, 2024

The first pair of 10 × 50 haystack plots on the left compare Gemini 1.5 Pro successfully retrieves the secret word inserted at all depth percentages up to an hour of video, as shown by the all-green plot. This figure compares Gemini 1.5 All video clips are sampled at one frame-per-second (1 fps).

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ODSC - Open Data Science

MARCH 1, 2024

Trending AI Open Source Projects minbpe is an open-source project from famed researcher Andrej Karpathy and provides minimal, clean code for the ( Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. Neural Flow is a Python script for plotting the intermediate layer outputs of Mistral 7B.

Large Language Models 98

Large Language Models Artificial Intelligence Artificial Intelligence Neural Network 98

Artificial Corner

JUNE 4, 2023

In case your attributes are numerical  — for instance age, or node degree — you can basically just use the Pearson Correlation between the values of all pairs of nodes connected by an edge. The nx.draw_networkx() function then plots the graphs, which results in the following image.

Categorization 84

Categorization Python Explainability Data Science 84

Towards AI

MAY 12, 2023

Step 1: Sort data: 2, 4,6,9,12,102Step 2: Spot for extreme values we can see 102 is an extreme value so that could be an outlier for us.Method 4: Plotting scatter plot, boxplotScatterplot: It is a great indicator that allows us to see whether there is a pattern between two variables.

Data Science 85

Data Science AI AI Artificial Intelligence 85

PyImageSearch

SEPTEMBER 11, 2023

In computer vision, the recent foundational models mainly rely on utilizing large scale web-data and aligning image and text pairs to train strong representation models. Next, we define our helper functions which will allow us to plot the different prompts and visualize the segmentation masks. without further fine-tuning).

Computer Vision 117

Computer Vision AI AI Prompt Engineer 117

Mlearning.ai

JUNE 27, 2023

MAX:- This metric calculates the maximum distance between any pair of data points belonging to different clusters. Group-Average: This metric computes the average distance between all pairs of data points belonging to different clusters. Minimum computation. MIN Dendrogram. This is how we define similarity using the MIN approach.

Algorithm 52

Algorithm Computer Vision Categorization Data Analysis 52

BAIR

APRIL 3, 2023

Specifically, we use the grade-school-math-instructions, the poetry-to-songs, and the plot-screenplay-books-dialogue datasets. The dataset contains ~160K human-rated examples, where each example in this dataset consists of a pair of responses from a chatbot, one of which is preferred by humans. Stanford Alpaca. OpenAI WebGPT.

Large Language Models 363

Large Language Models ChatGPT OpenAI Chatbots 363

ML @ CMU

DECEMBER 29, 2023

Below, we see that the CIFAR10-FEMNIST and StackOverflow-Reddit pairs (top left, bottom right) show the clearest transfer between the two datasets. For each pair of datasets, we randomly sample 128 configurations and plot each configuration at the coordinates corresponding to the error rate on the two datasets.

Algorithm 94

Algorithm Machine Learning Explainability ML 94

ODSC - Open Data Science

APRIL 25, 2023

Graph theory defines a graph as a collection of objects where pairs of objects are connected and represented as mathematical entities known as nodes and edges. Step 5: Use ChatGPT to Generate Data To accurately plot the countries on the map, we need precise coordinates such as latitude and longitude.

ChatGPT 52

ChatGPT Data Science AI Researcher AI Research 52

Flipboard

APRIL 17, 2023

Visualizing the function plt.scatter(xs, ys) plt.xlabel("xs") plt.ylabel("ys") plt.title("Linear Function") plt.show() Figure 1: A plot of a linear dataset (source: image by the authors). Figure 1 visualizes the linear function using matplotlib. To combat a linear dataset, we build a linear regression model.

Machine Learning 107

Machine Learning Computer Vision Neural Network Deep Learning 107

PyImageSearch

JUNE 5, 2023

We have 2 Generators ( G and F ) and 2 Discriminators ( X and Y ), which allow us to perform image-to-image translation between the apples and oranges domains without paired images. set_title("Input Image") # plot the predicted CycleGAN image ax[1].imshow(array_to_img(pred)) Next, we plot the corresponding CycleGAN output (i.e.,

Computer Vision 56

Computer Vision Auto-complete Deep Learning Explainability 56

AWS Machine Learning Blog

JANUARY 19, 2024

In this demo, the target task is a binary classification problem where BERT is used to identify, from a dataset that consists of a collection of pairs of text fragments, whether the meaning of one text fragment can be inferred from the other fragment. This dataset consists of pairs of sentences.

BERT 91

BERT Automation Neural Network Machine Learning 91

Towards AI

JUNE 2, 2023

The plots of acceleration, velocity, and position over time. Crossover: Select pairs of chromosomes and exchange segments at corresponding array locations (alleles). Integrating integer-like acceleration twice results in a smooth position curve. Source: image by the author.

Algorithm 94

Algorithm Python AI AI 94

Heartbeat

SEPTEMBER 28, 2023

During this step, for each plot, I utilize experiment.log_figure(figure=plt) to log the plot to Comet for enhanced tracking and visualization. You can access these plots by navigating to [Respective Experiment] > Graphics. Customer Churn Distribution This plot shows the distribution of churn vs. non-churn customers.

Machine Learning 52

Machine Learning Categorization ML Data Scientist 52

Dlabs.ai

MARCH 15, 2022

This case of mistaken identity is sending innocent people to jail — as was the case for one American citizen who stood accused of stealing a pair of socks from a TJ Maxx store despite him being by his wife’s side at the time of the crime as she went through labor.

Robotics 52

Robotics Algorithm Deep Learning Artificial Intelligence 52

The MLOps Blog

DECEMBER 19, 2022

Metric Learning problems principally fall into two categories one is Supervised where data points have a class label as target (same as in standard classification problem), and another one is Weakly Supervised where data points are at tuple level (pairs, triplets or quadruplets). m is the margin. m is the margin. Dw is the distance function.

ML 52

ML Deep Learning Algorithm Neural Network 52

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. He’s going to be a talking machine in no time.”

NLP 80

NLP Algorithm Explainability Python 80

Google Research AI blog

MAY 15, 2023

For each plot, models are shown in order of increasing model size (e.g., In general, models’ success at in-context learning is enabled by: Their use of semantic prior knowledge from pre-training to predict labels while following the format of in-context examples (e.g., targets) instead of natural language labels.

Natural Language Processing 134

Natural Language Processing NLP Large Language Models Machine Learning 134

Marktechpost

MARCH 14, 2024

An intelligent programming pair for your development team is called AIXcoder. Cogram may be integrated with Jupyter Notebooks by Python and Julia developers to automatically produce code. The tool may provide contextual code for a particular job based on the remarks. As a result, it may provide principles suited to your situation.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Auto-complete 97

ODSC - Open Data Science

MAY 25, 2023

Our mentoring program pairs you with an experienced tech mentor who will work with you on specific learning goals related to coding or methods. link] sktime, the open mentoring and upskilling platform At sktime, we’re dedicated to creating opportunities for the next generation of open source leaders around the world.

Machine Learning 98

Machine Learning Python Auto-classification Auto-complete 98

PyImageSearch

SEPTEMBER 18, 2023

Then, a contrastive objective is used to align corresponding image and text pairs and push dissimilar image and text pairs apart to learn useful semantic representations. For each segmentation prediction, we first plot the input image ( Lines 62 and 63 ) and then visualize the segmentation mask (i.e., image = cv2.imread(config.IMG_PATH[1])

Computer Vision 67

Computer Vision Deep Learning AI AI 67

Allen AI

NOVEMBER 27, 2023

Fig 2: Pearson correlation plot between 18 different model evaluations across each pair of tasks we consider. The above considerations provided us with the opportunity to research and come up with an improved model and evaluation benchmark. SciDocs tasks (highlighted in the red circle) are all highly correlated with one another.

BERT 98

BERT AI AI 98

Ofemwire

JULY 22, 2023

Detail the trials and tribulations of a pair of star-crossed lovers from rival kingdoms. Timeless Fairy Tales Novel AI Prompts Reimagine a classic fairy tale with a modern twist and unexpected plot twists. They offer fresh perspectives, unexpected plot twists, and unique characters to enrich stories and stimulate the imagination.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Topbots

JUNE 22, 2023

The plot below shows bimodal distributions in both training and testing sets. The plots are below. On the left side, a line plot for assessing how the ChatGPT’s accuracy (y-axis) changes regarding the threshold (x-axis) for categorizing the numeric Gold-Standard complete dataset. Then, I made a confusion matrix.

Machine Learning 111

Machine Learning ChatGPT Natural Language Processing Categorization 111

Topbots

JUNE 15, 2023

Results Some languages consistently tokenize to longer lengths The following distribution plot compares the distribution of token lengths for five languages. Appendix Byte-Pair Encoding Tokenization In the realm of natural language processing, tokenizers play a crucial role in enabling language models to process and understand text.

Natural Language Processing 59

Natural Language Processing Computational Linguistics NLP ChatGPT 59