BAIR

NOVEMBER 14, 2023

Zero-shot methods that classify text without training on labeled data, by calculating the probability that the text was generated by a specific model, also tend to do poorly when a different model was actually used to generate the text. F1 across all three datasets, outperforming GPTZero by a margin of 5.9 F1 margin).

Large Language Models 239

Large Language Models ChatGPT AI AI 239

Towards AI

OCTOBER 11, 2023

(Instruct)GPT RLHF pipeline LLAMA RLHF pipeline The Meta AI Llama 2 model, while using a similar RLHF approach to InstructGPT, introduces several noteworthy differences: Two Reward Models Margin Loss Rejection Sampling Two Reward Models: Llama2 employs two reward models, one focused on helpfulness and the other on safety.

Large Language Models 95

Large Language Models LLM ChatGPT AI 95

Mlearning.ai

MAY 12, 2023

Hard and Soft Margin. The goal of SVMs is to find the hyperplane that maximizes the margin between two classes. The best-Fit line separating the categories In Support Vector Classifier (SVC) , also we try to find the best-fit line but along with that we also try to calculate two marginal planes(P1 and P2). What is SVM?

Natural Language Processing 52

Natural Language Processing Explainability Algorithm ML 52

AI Impacts

DECEMBER 18, 2023

Fortunately, the relevant physics was understood well enough to take a decent shot at evaluating the risk with theory and calculation alone. Calculation proved the figures slightly less -- and the project continued. The authors of another report, authored by Dar et al. ” In the first version of their paper, Busza et al.

Computer Scientist 299

Computer Scientist AI AI AI Researcher 299

AWS Machine Learning Blog

FEBRUARY 14, 2023

You can also monitor the total revenue or margin of a specified event type, for example when a user purchases an item. For each event type, you simply define the metric and function that you want to calculate (sum or sample count), and Amazon Personalize performs the calculation, sending the generated reports to CloudWatch or Amazon S3.

Categorization 69

Categorization Machine Learning Artificial Intelligence Artificial Intelligence 69

Unite.AI

APRIL 18, 2024

As it can be observed, the LoReFT model outperforms existing PEFT approaches by a decent margin, despite having much fewer parameters, with the average performance of three runs being reported with distinct parameter seeds for the LoReFT model.

Neural Network 130

Neural Network Natural Language Processing Large Language Models LLM 130

Marktechpost

SEPTEMBER 21, 2023

A TopK(·) is the selection function used to calculate the selection probabilities of all LoRA adapters and choose the top-k LoRA experts obeying the probability distribution. The mixture-of-adapter strategy is to learn the language-sensitive representations for the different input sentences by activating top-k experts.

Large Language Models 126

Large Language Models AI Researcher AI Research NLP 126

Unite.AI

MARCH 4, 2024

Researchers at Maryland found that even the “best-possible detector” performs only marginally better than a random classifier. The advent of spell checkers and calculators in the classroom sparked conversations around whether these tools were a help or hindrance to students' actual ability to learn. AI will bring about change.

AI Tools 147

AI Tools AI AI Generative AI 147

Marktechpost

AUGUST 15, 2023

While identifying the ideal structure or marginalizing over hidden variables are common inference issues, sampling from auto-regressive models is often not tractable. These models can precisely and efficiently calculate all interesting inference issues by employing specialized methods.

Deep Learning 95

Deep Learning Algorithm Explainability Machine Learning 95

Marktechpost

MARCH 7, 2024

This model leverages the late interaction architecture, enhancing its predictive capabilities by calculating cosine similarities between individual tokens in the query and context rather than relying on pooled representations.

Large Language Models 105

Large Language Models Natural Language Processing Algorithm LLM 105

Mlearning.ai

JANUARY 9, 2024

calculateButton.setOnClickListener { calculate() }’ set an onClick listener on the button, and calls the ‘calculate()’ function below when the button is pushed. The above codes are the formulas for the values used in payroll calculations. Recall the first code chunk in the calculate function as shown below.

ML 52

ML AI AI 52

IBM Journey to AI blog

APRIL 19, 2023

The partnership created several models to transition Excel business logic and calculations to IBM Planning Analytics. Part of this process involved refining and creating new strategies to align with the CFO’s vision and to establish a monthly rolling forecast process owned by the business.

Data Integration 205

Data Integration Automation 205

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Python Calculation Tool – To use for mathematical calculations. The following function defines how to calculate the optimized portfolio based on the chosen stocks. The Python tool calculates the required optimal portfolio, including weights, and passes the answer to the LLM within the agent. WWW: $85.91 DDD: $9.82

Generative AI 95

Generative AI LLM Python Large Language Models 95

BAIR

NOVEMBER 14, 2023

Zero-shot methods that classify text without training on labeled data, by calculating the probability that the text was generated by a specific model, also tend to do poorly when a different model was actually used to generate the text. F1 across all three datasets, outperforming GPTZero by a margin of 5.9 F1 margin).

Large Language Models 100

Large Language Models ChatGPT AI AI 100

Mlearning.ai

FEBRUARY 11, 2023

Types of Chi-Square Tests How to calculate Chi-Square? How to calculate Chi-Square? Table 1: Frequencies of Diabetes by Death Event We will use the observed frequencies to calculate the total frequencies. We will follow the same procedure to calculate expected values for each of the other cells in the table as well.

Categorization 52

Categorization Python Explainability ML 52

Heartbeat

FEBRUARY 21, 2024

During each epoch, the model reviews the data, makes predictions, and calculates how well these predictions match the actual values. It then calculates the measure of this mismatch using a loss function. The loss functions are calculated automatically during the model's training and aim to correct the model's weights.

Deep Learning 52

Deep Learning Neural Network Algorithm Machine Learning 52

Mlearning.ai

JANUARY 1, 2024

Similarity is calculated by calculating the distance between the embedding vectors of the input and the documents Maximum Marginal Relevance MMR addresses redundancy in retrieval.

Large Language Models 52

Large Language Models LLM OpenAI Generative AI 52

Flipboard

MARCH 6, 2023

It is based on the idea that the distance between the representation of the anchor and negative samples (which belong to different people) should be at least a “margin” distance more than the distance between the anchor and positive samples. Furthermore, the parameter refers to the margin distance. Let us refer to this as.

Computer Vision 97

Computer Vision Deep Learning Neural Network Artificial Intelligence 97

ODSC - Open Data Science

APRIL 3, 2023

We developed a novel model called MetaQA that aggregates QA expert agents in different domains and outperforms by large margins multi-dataset models, i.e., models trained on multiple datasets and thus experts in many domains. For example, it is well known that ChatGPT and similar models struggle with mathematical operations.

Neural Network 117

Neural Network Natural Language Processing NLP Computational Linguistics 117

IBM Journey to AI blog

JANUARY 16, 2024

Costing During this final phase before launch, a business should calculate the total cost of its product over a pre-determined product life cycle to verify the retail price and gross margin of its new initiative.

Software Development 190

Software Development 190

Mlearning.ai

JULY 30, 2023

Different methods could be used to calculate the significance of features. How can we calculate the importance of features? In this section, we will cover the different methods of calculating the importance of features. Coefficient-based importance is used to calculate the importance of the different features.

Python 52

Python Categorization Machine Learning Explainability 52

Becoming Human

APRIL 19, 2024

c) Input: Calculate the total surface area of a cube with a side length of 5 cm. We observe just a marginal change in the performance as we increase the number of exemplars. While the ARSP is marginally higher when compared to Exemp strategy. Though, the SSR strategy achieves a marginally lower ARSP than the FSR strategy.

LLM 111

LLM Large Language Models Algorithm Natural Language Processing 111

IBM Journey to AI blog

APRIL 14, 2023

The solution allowed to automatize the conversion of sales volumes planned in cases to liters, accounted for discounts and incentives, and generated accurate contribution margins and reports for key customer groups and categories. Dashboards and reports The system included reports and dashboards based on deployed budget models.

Business Intelligence 169

Business Intelligence Automation 169

Mlearning.ai

JANUARY 26, 2023

n depend only on their marginal probability distributions, then the n-attribute utility function is additive according to where u and the ui are normalised to the range [0,1], and the ki are normalisation constants. n}, CI is calculated relative to the output utilities uj . When {I} = {1, . . . , For instance, CIj (C, {2}, {1, . . . ,

Explainability 52

Explainability Neural Network Machine Learning AI 52

Mlearning.ai

APRIL 13, 2023

last() # Calculate revenue per channel revenue_by_channel = data.groupby('Channel')['Revenue'].sum() import pandas as pd # Load data data = pd.read_csv('mta_data.csv') # Calculate total touches per user total_touches = data.groupby('User ID')['Channel'].count()

Data Science 52

Data Science Deep Learning Neural Network Machine Learning 52

BAIR

OCTOBER 16, 2023

Figure 4: KL-Reward frontier for HH, each point represents an average of results over 280 test prompts and calculated every 500 gradient updates. Although DPO marginally surpasses P3O in reward, it has a considerably higher KL-divergence, which may be detrimental to the quality of generation. against P3O, but only 45.4%

Algorithm 225

Algorithm Large Language Models LLM OpenAI 225

Pragnakalp

MAY 29, 2024

What is the gross margin in 2022? billion Question: What is the gross margin in 2022? GPT-4o response: The gross margin in 2022 is $135,620 million. Pro offers detailed explanations and excels in detecting numerical data from graphs, while GPT-4o shows comparable performance in logical calculations. pro response: $10.4

AI 52

AI AI Explainability OpenAI 52

Artificial Corner

JUNE 16, 2023

A Haar-like feature considers adjacent rectangular regions at a specific location in a detection window, sums up the pixel intensities in each region, and calculates the difference between these sums as a single feature. This step speeds up the calculation of the sum of pixel intensities within a rectangular area.

Algorithm 52

Algorithm Machine Learning ML Explainability 52

Marktechpost

JULY 29, 2023

More complex prompting techniques can involve collaboration between the language model, the user, and third-party applications like calculators. There are situations in which the limits imposed lead to marginally greater precision. There is no effect of LMQL on the model’s accuracy.

Python 98

Python Prompt Engineer Prompt Engineering Large Language Models 98

PyImageSearch

FEBRUARY 5, 2024

Implementing Precision and Recall Calculations in Python Now that we have defined and segregated our samples into True Positives , True Negatives , False Positives , and False Negatives , let us try to use them to compute specific metrics to evaluate our model. label_pred !=1 1 ), and their ground-truth label was positive ( label_gt =1 ).

Computer Vision 60

Computer Vision Deep Learning Python Convolutional Neural Networks 60

Marktechpost

OCTOBER 27, 2023

Lewis Fry Richardson used a slide rule and a table of logarithms to calculate the first dynamically modelled numerical weather prediction for a single place in 1922. Then, for lead periods of up to a week, projections of all modelled variables behind IFS by a significant margin.

Deep Learning 89

Deep Learning Neural Network AI Researcher AI Research 89

Mlearning.ai

APRIL 13, 2023

The main idea behind SVM is to find a hyperplane that separates the data into different classes with the maximum margin. Margin and Maximum Margin Classifier [2] Support Vectors Support Vectors are the data points that lie closest to the hyperplane and are the most critical in defining the hyperplane.

Data Scientist 52

Data Scientist Machine Learning Neural Network Algorithm 52

Snorkel AI

FEBRUARY 2, 2023

The model will take these numerical values and calculate a final similarity metric along with a threshold by which to declare whether two titles refer to the same job. Step 5: Analyze errors to guide iteration: confusion matrices Snorkel Flow includes a traditional ground truth confusion matrix as well as our margin confusion matrix.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

The model will take these numerical values and calculate a final similarity metric along with a threshold by which to declare whether two titles refer to the same job. Step 5: Analyze errors to guide iteration: confusion matrices Snorkel Flow includes a traditional ground truth confusion matrix as well as our margin confusion matrix.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Heartbeat

NOVEMBER 24, 2023

Embeddings capture the semantic meaning of text and enable efficient searching and similarity calculations. Retriever algorithms, such as similarity search or Maximum Marginal Relevance (MMR) search, can be used to find the most relevant documents. Create embeddings: Generate embeddings for the documents using text embedding models.

Deep Learning 52

Deep Learning Metadata OpenAI Data Scientist 52

Unite.AI

JANUARY 25, 2024

On the basis of the sentence response generated by the multimodal large language model, Osprey calculates the semantic similarity between the vocabulary list and output of each dataset. As it can be observed, the Osprey framework outperforms existing methods by a considerable margin on both the Cityscapes and the ADE20K-150 dataset.

Large Language Models 147

Large Language Models Convolutional Neural Networks LLM Neural Network 147

Unite.AI

JANUARY 17, 2024

In the meanwhile, the CPU calculates and transfers the results for its neurons to be integrated with the GPU. tokens per second, and reaches up to 16 tokens generated per second , thus outperforming the llama.cpp framework by a significant margin. The activated neurons are then preloaded into the GPU for processing.

Large Language Models 130

Large Language Models Inference Engine LLM Generative AI 130