Pickl AI

JULY 6, 2023

Hive is a powerful data warehousing infrastructure that provides an interface for querying and analyzing large datasets stored in Hadoop. These work together to enable efficient data processing and analysis: · Hive Metastore It is a central repository that stores metadata about Hive’s tables, partitions, and schemas.

Big Data 52

Big Data Data Analysis ETL Metadata 52

AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. They also need a user interface for natural language questions.

Generative AI 72

Generative AI Metadata LLM Large Language Models 72

Bugra Akyildiz

MAY 25, 2024

Articles OpenAI has announced GPT-4o , their new flagship AI model that can reason across audio, vision, and text in real-time. The "o" stands for "omni", reflecting its multimodal capabilities to accept inputs and generate outputs across different modalities like text, audio, and images. accuracy versus humans at 94%.

ChatGPT 52

ChatGPT Machine Learning OpenAI Data Analysis 52

Topbots

JUNE 29, 2023

Most employees don’t master the conventional data science toolkit (SQL, Python, R etc.). To access the desired data, they go via an additional layer where analysts or BI teams “translate” the prose of business questions into the language of data. 2]; for a survey over alternative approaches beyond LLMs, readers are referred to [3]).

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52

John Snow Labs

AUGUST 21, 2023

This release comes with the first Text2SQL module and ONNX-optimized medical text summarization models as well as 20 new clinical pretrained models and pipelines. Text2SQL , module to translate text prompts into accurate SQL queries We are excited to introduce our latest innovation, the Text2SQL annotator.

NLP 98

NLP Categorization Natural Language Processing Automation 98

Bugra Akyildiz

JULY 16, 2023

Data Collection: Download a large amount of publicly available data Preprocessing: Tokenization; transform all text into one very long list of integers. Data Collection: Download a large amount of publicly available data Preprocessing: Tokenization; transform all text into one very long list of integers.

LLM 52

LLM Chatbots Large Language Models Neural Network 52

AWS Machine Learning Blog

MAY 30, 2024

Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts. This is a guest post co-written with CBRE. Services range from financing and investment to property management.

Metadata 83

Metadata Generative AI LLM Prompt Engineer 83

AWS Machine Learning Blog

APRIL 16, 2024

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

Data Scientist 87

Data Scientist Generative AI ML Machine Learning 87

Marktechpost

JULY 12, 2023

Large language models (LLMs) have recently made significant progress in natural language processing (NLP). The problems may be directly resolved by adding external knowledge sources to LLMs to repair the wrong generations.

Large Language Models 52

Large Language Models Natural Language Processing ChatGPT Big Data 52

AWS Machine Learning Blog

DECEMBER 29, 2022

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. The template will generate five stacks.

Natural Language Processing 101

Natural Language Processing Machine Learning Data Scientist Data Analysis 101

Artificial Corner

JUNE 6, 2023

From the earliest days of data storage and the development of relational databases to the emergence of big data and the advent of distributed computing frameworks, data engineering has continuously evolved to meet the changing needs of businesses and the increasing volume of data generated.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Marktechpost

JULY 23, 2023

Many large enterprises still use the old data warehousing method, but it is evident that the cloud is where the data warehouse will function in the future. From the above, you can see how Data Warehousing has grown crucial for large and medium-sized enterprises. Previously, enterprises had to invest much in infrastructure.

Machine Learning 52

Machine Learning ETL Big Data Data Integration 52

Pickl AI

JUNE 18, 2023

Advantages of Hadoop in Big Data Hadoop is a widely used open-source framework for processing and storing large volumes of data in a distributed computing environment. Distributed Computing: Hadoop follows a distributed computing model, which means it can distribute the workload across multiple nodes in a cluster.

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

TheSequence

NOVEMBER 13, 2023

The surge in ChatGPT and other large language models (LLMs) has driven the growth of vector search technologies, featuring specialized vector databases like Milvus and Zilliz Cloud alongside libraries such as FAISS and integrated vector search plugins within conventional databases. Let’s dive in! Elasticsearch 8.0,

Neural Network 52

Neural Network Large Language Models Python Algorithm 52

Topbots

OCTOBER 10, 2023

While conversational systems have existed for decades, LLMs have brought the quality push that was needed for their large-scale adoption. In this article, we will use the mental model shown in Figure 1 to dissect conversational AI applications (cf. Figure 1: Mental model of an AI system (cf.

Large Language Models 59

Large Language Models Conversational AI UX Design LLM 59

AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. With the emergence of large language models (LLMs), NLP-based SQL generation has undergone a significant transformation.

Metadata 108

Metadata LLM Generative AI NLP 108

Flipboard

DECEMBER 6, 2023

Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. In this post, we discuss a Q&A bot use case that Q4 has implemented, the challenges that numerical and structured datasets presented, and how Q4 concluded that using SQL may be a viable solution. Use case overview Q4 Inc.,

Chatbots 130

Chatbots LLM Prompt Engineer Prompt Engineering 130

The MLOps Blog

JANUARY 23, 2023

In machine learning, data is the foundation upon which models are built and trained. Data from different formats, databases, and sources are combined together for modeling. Sometimes even meta-learning models are used to produce meta-features. What is data versioning in machine learning?

ML 52

ML Machine Learning Metadata Data Scientist 52

AWS Machine Learning Blog

AUGUST 4, 2023

In Part 1 , we show how the Salesforce Data Cloud and Einstein Studio integration with SageMaker allows businesses to access their Salesforce data securely using SageMaker and use its tools to build, train, and deploy models to endpoints hosted on SageMaker. We use the following sample dataset.

ML 78

ML Categorization AI AI 78

AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Metadata 98

Metadata LLM NLP Conversational AI 98

The MLOps Blog

MARCH 15, 2023

If you will ask data professionals about what is the most challenging part of their day to day work, you will likely discover their concerns around managing different aspects of data before they get to graduate to the data modeling stage. This is what data processing pipelines do for you.

ETL 59

ETL Categorization Automation Data Integration 59

AWS Machine Learning Blog

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. The primary goal is to automatically generate SQL queries from natural language text.

Prompt Engineer 116

Prompt Engineer Prompt Engineering Generative AI LLM 116

AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

Generative AI 97

Generative AI LLM AI AI 97

AWS Machine Learning Blog

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. An AI assistant is an intelligent system that understands natural language queries and interacts with various tools, data sources, and APIs to perform tasks or retrieve information on behalf of the user.

Conversational AI 105

Conversational AI LLM AI AI 105

AWS Machine Learning Blog

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. This post is co-written with Tom Famularo, Abhay Shah and Nicolette Kontor from Verisk.

Insight Engine 111

Insight Engine Generative AI LLM AI 111

ML Review

DECEMBER 16, 2019

So that hyperbolic embeddings can model hierarchies much better AND use less dimensions compared to Euclidean spaces. Conceptually similar, both papers aim at merging benefits of hyperbolic spaces with expressivity of GNNs but through different models. The authors also apply Riemannian SGD to optimize the model (**MATH ALERT HERE ?**).

Machine Learning 52

Machine Learning Neural Network Explainability NLP 52

Pickl AI

NOVEMBER 15, 2023

Unlike traditional databases, Data Lakes enable storage without the need for a predefined schema, making them highly flexible. Unlike traditional databases that require a predefined schema, Data Lakes accommodate both structured and unstructured data. What Is Data Lake?

ETL 52

ETL Business Intelligence Metadata Data Analysis 52

AWS Machine Learning Blog

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

Prompt Engineer 112

Prompt Engineer Prompt Engineering Generative AI AI Chatbots 112

AWS Machine Learning Blog

DECEMBER 14, 2023

Covering over 30 million job listings across more than 75 countries and spanning various languages, industries, and distribution channels, Talent.com caters to the diverse needs of job seekers, effectively connecting millions of job seekers with job opportunities. Talent.com’s mission is to facilitate global workforce connections.

ETL 79

ETL Data Scientist Machine Learning Deep Learning 79

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. You can find all of them collected in a playlist here , or scroll down for an embedded version of each, along with a description.

Data Scientist 64

Data Scientist AI AI ML 64

Snorkel AI

OCTOBER 12, 2023

Closing Keynote: LLMOps: Making LLM Applications Production-Grade Large language models are fluent text generators, but they struggle at generating factual, correct content. You can find all of them collected in a playlist here , or scroll down for an embedded version of each, along with a description.

Data Scientist 59

Data Scientist AI AI ML 59

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. Overall Generative AI in SDLC Here is how Generative AI can help in SDLC stages (we may see more use cases as Generative AI matures).

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

Flipboard

NOVEMBER 24, 2023

Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69