AWS Machine Learning Blog

NOVEMBER 13, 2023

Solution overview To demonstrate our solution, we have set up an Amazon Kendra index (composed of the AWS online documentation for Amazon Kendra , Amazon Lex , and Amazon SageMaker ), a LangChain agent with an Amazon Bedrock LLM, and a straightforward Streamlit user interface. Deploy an Amazon Kendra index in your AWS account.

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AWS Machine Learning Blog

FEBRUARY 14, 2023

It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched.

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AWS Machine Learning Blog

APRIL 4, 2023

Each index-based FAQ is maintained in the folder with a prefix relating to the Amazon Kendra index. When you upload an FAQ to the S3 folder mapped to a specific Amazon Kendra index, it creates a new version of the FAQ for your index. An Amazon Kendra index. Choose Confirm subscription.

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DrivenData Labs

FEBRUARY 19, 2024

index [ 0 ] print ( image_id ) ax = display_image ( image_id , show_bbox = True ) 069a74eff3943d8c096bb37c7c674832 Section 2: Demo submission ¶ Now that we've had a chance to get a feel for the data, it's time to walk through the steps for creating a competition submission. to_series (). png" ). exists ] train_meta. sample ( 1 ).

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Smart Data Collective

JUNE 5, 2021

Phrases like ‘long-tail keywords’ and ‘evergreen content’ both tend to be self-explanatory and fairly straightforward to understand – however, in the case of ‘latent semantic indexing’, it can be another story entirely. So where do we start with latent semantic indexing, or LSI for short? What is Latent Semantic Indexing?

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

The text-embeddings model, which will be used for generating embedding to be indexed in Amazon OpenSearch Service or searching the context for the incoming question, is a Hugging Face GPT 6B FP16 embeddings model. When you provide an input and submit the form, the request is processed via API Gateway.

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AWS Machine Learning Blog

APRIL 5, 2023

Amazon OpenSearch Service now supports the cosine similarity metric for k-NN indexes. You can use CLIP to encode your products’ images or description into embeddings , and then store them into an OpenSearch Service k-NN index. Then your customers can query the index to retrieve products that they’re interested in.

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Hacker News

JULY 20, 2023

Given: A Transition Rule maps one list of entries to another list of entries, using the primitive operations: Remove entry at fixed index(from beginning or end) Insert a fixed message at a fixed index(from beginning or end). Insert a representation or rendering of the initial Sudoku puzzle at a fixed index(from beginning or end).

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AWS Machine Learning Blog

MARCH 26, 2024

You can visualize the indexed metadata using OpenSearch Dashboards. It consists of two Lambda functions: one to submit the document for processing and one that is triggered on the SNS notification. After the OpenSearch Service index is created, you can search for keywords from the extracted text via OpenSearch Dashboards.

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Ocean Protocol

APRIL 14, 2023

Contestants are asked to submit data analytics reports and machine learning models to analyze the floor prices of NFTs. Participants must submit their reports by the deadline to be eligible. Report (25 points): Submit a report describing the above findings. log_index: The log index at which the NFT sale occurred.

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AWS Machine Learning Blog

MAY 2, 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. Search the indexes of the top K most relevant documents in the embedding space using an in-memory FAISS search.

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Mlearning.ai

APRIL 1, 2023

txt") test_set = np.loadtxt(f"test_{index}.txt") reset_index(drop=True) if output_fn is not None: subsets.to_csv(output_fn, index=False) # List of tuples: (train_data, test_data) train_test_sets = [( subsets[subsets.fold ! txt") test_set = np.loadtxt(f"test_{index}.txt") reset_index(drop=True).fillna(0)

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AssemblyAI

DECEMBER 14, 2023

Here's a breakdown of how the format works: Each subtitle entry consists of an index number, start time, end time, and text. The index number is a sequential number starting from 1. The AssemblyAI API supports most common audio and video file formats, so you can submit both audio or video files to generate SRT files.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Documents are processed and indexed by Amazon Kendra through the Amazon Simple Storage Service (Amazon S3) connector. The user runs an Amazon Kendra sync job to ingest S3 documents into the Amazon Kendra index. The user’s question along with the data retrieved from the index are sent as a context in the LLM prompt.

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Heartbeat

JANUARY 26, 2024

step = 0.1), actionButton("submit_message", "Submit Message") ), mainPanel( # in the UI function titlePanel("Response:"), textOutput(outputId = "assistant") ) ) ) This Shiny UI code creates a web page with a user-friendly chat interface. " Users can employ this button to submit their chat messages.

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Mlearning.ai

FEBRUARY 6, 2023

You can see it in the sky at night.nJupiter is the third brightest thing in the sky, after the Moon and Venus.n", 1] Neutron stars are the smallest and densest stellar objects, excluding black holes and hypothetical white holes, quark stars, and strange stars.[2] 2] Neutron stars have a radius on the order of 10 kilometres (6.2 solar masses.[3]

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AWS Machine Learning Blog

MARCH 29, 2023

Data ingestion and extraction Evaluation reports are prepared and submitted by UNDP program units across the globe—there is no standard report layout template or format. TextractAsyncCallTask submits the documents to be processed by Amazon Textract using the asynchronous StartDocumentTextDetection API.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

Data source We created an Amazon Kendra index and added a data source using web crawler connectors with a root web URL and directory depth of two levels. Several webpages were ingested into the Amazon Kendra index and used as the data source. Based on this, we selected Claude-2 as best suited for this use case.

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Mlearning.ai

FEBRUARY 17, 2023

Handle Submit function It’s time to take the input and handle them when we enter the prompt. 0 000-1.115A28.897 28.897 0 003.105 2.289z" /> </svg> </button> </form> We’ve updated the form properties to make it do something when we submit some text. 826.95l1.414 4.925A1.5 0 005.135 9.25h6.115a.75.75

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AssemblyAI

DECEMBER 15, 2023

No index numbers are required. The AssemblyAI API supports most common audio and video file formats, so you can submit both audio or video files to generate VTT files. The syntax is similar to SRT files but has some differences: The file should begin with the header WEBVTT. Create a new file named main.py

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IBM Journey to AI blog

DECEMBER 16, 2022

Next, she submits a request form for each dataset she thinks will be most helpful, then waits while the IT team completes her request. If Alex’s company had an enterprise data catalog in place, she wouldn’t have to submit requests to multiple departments to get the data she needs.

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Iguazio

FEBRUARY 17, 2024

There are 2,394 Resources in 484 catalogs related to finance, covering topics like consumer price indexes, GDP estimates, prices and more. It is a comprehensive repository covering equities, currencies, interest rates, options, indexes, mutual funds, real estate and a whole lot more! Get the datasets here 3. data.europa.eu

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Dataconomy

MARCH 6, 2023

There is an option to prevent your photographs from being indexed by the service. You can submit a form to have images removed from search results if you discover they are still available. PimEyes notes that because of the complexity of the AI used, some images may be missed and remain concealed.

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Smart Data Collective

AUGUST 30, 2020

The legal system is familiar with heavily labor-oriented tasks, with paralegals and researchers scurrying to unearth, index and process information. Being the industry that probably produces the most amount of data in a year, the legal industry only recently realized the vital importance of big data to rapid and informed decision making.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

index) # save the train datasets train_dataset_part1.to_csv("data/mammo-train-dataset-part1.csv",index=False) csv",index=False) train_dataset_part2.to_csv("data/mammo-train-dataset-part2.csv",index=False) random_state=200) train_dataset_part1 =raw_df.drop(train_dataset_part2.index) to_csv("data/mammo-train-dataset-part1.csv",index=False)

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AWS Machine Learning Blog

APRIL 19, 2024

An index created in the OpenSearch Serverless collection serves as the vector store for our RAG solution. The OSI pipeline ingests the data as documents into an OpenSearch Serverless index. The index is configured as the sink for this pipeline and is created as part of the OpenSearch Serverless collection.

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Flipboard

JUNE 9, 2023

WordLift WordLift automates search engine optimization by scanning a website’s content, enriching it with structured data or schema markup, and submitting it to Google. With its support, you can manage the indexed material and its visibility on search engines.

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Mlearning.ai

MARCH 15, 2023

' + 'n' + 'Venue: ' + venue return prompt venue_description = {} for index, row in sf_events.iterrows(): if row['venue'] not in venue_description: response = openai.Completion.create( model="text-curie-001", prompt=find_venue_type(row['venue']), temperature=0.3, x), radians(loc1.y) x), radians(loc2.y)

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Database Natural Language Processing SQL Python 40

DrivenData Labs

APRIL 10, 2024

Over the course of the competition, 671 participants battled it out and submitted a whopping 2,885 solutions! tuning the threshold for submit to match kelp distribution on training data. This model used a combination of base spectral bands and single additional spectral index - the NDVI.

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AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. We will first create an Amazon Kendra index to ingest the documents.

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DrivenData Labs

DECEMBER 13, 2022

index , severity_counts. Participants should submit predictions for severity level, NOT for the raw cell density value in cells per mL. to_csv ( BENCHMARK_DATA_DIR / "image_features.csv" , index = True ) Build the model ¶ In this benchmark, we'll fit a tree-based model using the LightGBM package. value_counts ().

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

OpenSearch Service allows you to store vectors and other data types in an index, and offers rich functionality that allows you to search for documents using vectors and measuring the semantical relatedness, which we use in this post. OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch.

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

To ensure accurate and up-to-date responses, organizations bear the responsibility of regularly updating and enriching the content of the indexed documents. PII redaction with Amazon Comprehend : User Query Processing: When a user submits a query or input, it is first passed through Amazon Comprehend.

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AWS Machine Learning Blog

JANUARY 30, 2024

An index created in the OpenSearch Serverless collection serves as the vector store for our RAG solution. This event in the SQS queue acts as a trigger to run the OSI pipeline, which in turn ingests the data (JSON file) as documents into the OpenSearch Serverless index. This index stores the embeddings data for the slide deck.

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AWS Machine Learning Blog

OCTOBER 17, 2023

In addition, agents submit their feedback related to the machine-generated answers back to the Amazon Pharmacy development team, so that it can be used for future model improvements. These embeddings are used as indexes to the answers, much like how a database index maps a primary key to a row.

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DrivenData Labs

JUNE 14, 2023

Between December 2022 and April 2023, 404 participants from 59 countries signed up to solve the problems posed by the two tracks, and 82 went on to submit solutions. His papers have received over 52,000 citations, with an H-index of 111. Yi Yang is a Professor with the college of computer science and technology, Zhejiang University.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

The second part of the architecture is to submit an article to find these newly ingested images. When the article is submitted, you need to extract and transform the article into a search input for OpenSearch Service. You submit an article or some text using the UI. Choose Choose file and then choose Upload.

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