AWS Machine Learning Blog

APRIL 1, 2025

This approach makes sure that the LLM operates within specified ethical and legal parameters, much like how a constitution governs a nations laws and actions. client(service_name="bedrock-runtime", region_name="us-east-1") llm = ChatBedrock(client=bedrock_runtime, model_id="anthropic.claude-3-haiku-20240307-v1:0") .

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IBM Journey to AI blog

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

Machine Learning 250

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Unite.AI

SEPTEMBER 10, 2024

Together, Ulrik and I saw a huge opportunity to build a platform to automate and streamline the AI data development process, making it easier for teams to get the best data into models and build trustworthy AI systems. Index is not limited to a single form of data like many LLM tools today.

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Computer Vision Automation AI Modeling Large Language Models 261

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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AI Development AI Developer Data Ingestion LLM 52

IBM Journey to AI blog

OCTOBER 14, 2024

Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data management providers. “Most data being generated every day is unstructured and presents the biggest new opportunity.”

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AWS Machine Learning Blog

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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IBM Journey to AI blog

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks. Watsonx.ai

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Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. It automates the execution of jobs, coordinates dependencies between tasks, and gives organizations a central point of control for monitoring and managing workflows.

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LLM Data Platform Software Engineer Chatbots 144

IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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AWS Machine Learning Blog

JUNE 18, 2024

The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.

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IBM Journey to AI blog

AUGUST 1, 2023

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. BERT (Bi-directional Encoder Representations from Transformers) is one of the earliest LLM foundation models developed. The platform comprises three powerful products: The watsonx.ai

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John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

AWS Machine Learning Blog

AUGUST 15, 2024

Enterprises want to automate frequently asked transactional questions, provide a friendly conversational interface, and improve operational efficiency. The text generation LLM can optionally be used to create the search query and synthesize a response from the returned document excerpts.

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Chatbots Generative AI AI Chatbots LLM 119

AWS Machine Learning Blog

JULY 29, 2024

We demonstrate BYO LLM integration by using Anthropic’s Claude model on Amazon Bedrock to summarize a list of open service cases and opportunities on an account record page, as shown in the following figure. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account.

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TheSequence

MARCH 23, 2025

Search-R1 In the paper "Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning" researchers from the University of Illinois at Urbana-Champaign introduce SEARCH-R1, a novel reinforcement learning framework that enables large language models to interleave self-reasoning with real-time search engine interactions.

Large Language Models 52

Large Language Models AI AI AI Researcher 52

Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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AI Development AI Developer Data Ingestion LLM 52

AWS Machine Learning Blog

SEPTEMBER 6, 2024

RAG is a methodology to improve the accuracy of LLM responses answering a user query by retrieving and inserting relevant domain knowledge into the language model prompt. Tuning chunking and indexing in the retriever makes sure the correct content is available in the LLM prompt for generation.

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TheSequence

JULY 5, 2023

Created Using Midjourney In case you missed yesterday’s newsletter due to July the 4th holiday, we discussed the universe of in-context retrieval augmented LLMs or techniques that allow to expand the LLM knowledge without altering its core architecutre. It’s a good one. Go check it out.

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Data Drift Data Quality Metadata Data Platform 52

The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. However, transforming raw LLMs into production-ready applications presents complex challenges.

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Prompt Engineering Prompt Engineer Large Language Models LLM 52

ODSC - Open Data Science

JULY 20, 2023

This open-source startup that specializes in neural networks has made a name for itself building a platform that allows organizations to train large language models. MosaicML is one of the pioneers of the private LLM market, making it possible for companies to harness the power of specialized AI to suit specific needs.

Machine Learning 52

Machine Learning Data Science Neural Network Automation 52

John Snow Labs

JANUARY 14, 2025

This is the result of a concentrated effort to deeply integrate its technology across a range of cloud and data platforms, making it easier for customers to adopt and leverage its technology in a private, safe, and scalable way.

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Large Language Models NLP Natural Language Processing LLM 40

ODSC - Open Data Science

OCTOBER 20, 2023

From Data Collection to ML Model Deployment in Less Than 30 Minutes Hudson Buzby | Qwak Solution Architect | Qwak Explore Qwak MLOps Platform, a comprehensive platform tailored to empower data scientists, engineers, and organizations.

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Data Science NLP Machine Learning Data Analysis 52

TransOrg Analytics

APRIL 21, 2024

Variational Autoencoders (VAEs): VAEs encode and decode data, enabling the generation of novel content while preserving key features. Read More: Guide to Understand “AI, GAI, ML, LLM, GANs, and GPTs” Let us now delve deeper into a few of these use cases.

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ODSC - Open Data Science

OCTOBER 9, 2024

By automating repetitive tasks and generating boilerplate code, these tools free up time for engineers to focus on more complex, creative aspects of software development. Well, it is offering a way to automate the time-consuming process of writing and running tests. Just keep in mind, that this shouldn’t replace the human element.

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AWS Machine Learning Blog

AUGUST 4, 2023

Use the newly launched SageMaker provided project template for Salesforce Data Cloud integration to streamline implementing the preceding steps by providing the following templates: An example notebook showcasing data preparation, building, training, and registering the model. Choose clone repo for both notebooks.

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ML Categorization AI AI 88

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Snorkel AI

JUNE 9, 2023

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.

Large Language Models 52

Large Language Models Data Scientist Machine Learning Computer Vision 52

Unite.AI

JANUARY 22, 2025

Saket Saurabh , CEO and Co-Founder of Nexla, is an entrepreneur with a deep passion for data and infrastructure. He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data.

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Auto-complete Automation Machine Learning Data Integration 144

TransOrg Analytics

SEPTEMBER 24, 2024

Our cloud data engineering services are designed to transform your business by creating robust and scalable data foundations across any scale. We provide comprehensive solutions to assess, architect, build, deploy, and automate your data engineering landscape on the leading cloud platforms.

ETL 52

ETL LLM Data Ingestion Automation 52

TransOrg Analytics

SEPTEMBER 24, 2024

Our cloud data engineering services are designed to transform your business by creating robust and scalable data foundations across any scale. We provide comprehensive solutions to assess, architect, build, deploy, and automate your data engineering landscape on the leading cloud platforms.

ETL 52

ETL LLM Data Ingestion Automation 52

Flipboard

NOVEMBER 27, 2024

Solution overview The code in the accompanying GitHub repo provided in this solution enables an automated deployment of Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, and the required resources to integrate the Amazon Bedrock Knowledge Bases API with a Slack slash command assistant using the Bolt for Python library.

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Generative AI Data Ingestion AI AI 143

AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate the importance of generative AI in the collaboration between Tealium and the AWS Generative AI Innovation Center (GenAIIC) team by automating the following: Evaluating the retriever and the generated answer of a RAG system based on the Ragas Repository powered by Amazon Bedrock.

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