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.

SQL 111

SQL AWS Database ML 111

ODSC - Open Data Science

JANUARY 29, 2024

They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. Knowledge in these areas enables prompt engineers to understand the mechanics of language models and how to apply them effectively.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

AWS Machine Learning Blog

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

SQL 101

SQL AWS Database Analytics 101

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

AWS 122

AWS AI AI ML 122

AWS Machine Learning Blog

JANUARY 4, 2024

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language.

SQL 119

SQL Database AI AI 119

Flipboard

DECEMBER 6, 2023

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. As for performance, the goal was to maintain a query response time of seconds to ensure a positive experience for end-users.

SQL 130

SQL Database AWS Machine Learning 130

AWS Machine Learning Blog

MAY 1, 2024

This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment. To retrieve data from database, you can use foundation models (FMs) offered by Amazon Bedrock, converting text into SQL queries with specified constraints.

AWS 98

AWS Machine Learning Machine Learning SQL 98

Explosion

AUGUST 3, 2017

This is good, because the examples are how you program the behaviour – the learner itself is really just a compiler. Machine learning systems are built from both code and data. It’s easy to reuse the code but hard to reuse the data, so building AI mostly means doing annotation. Solutions to these problems could surely be developed – but… why?

Supervised Learning 52

Supervised Learning Python Machine Learning Machine Learning 52

Snorkel AI

OCTOBER 12, 2023

How can we convert these capabilities into reliable, production-grade applications? How can we convert these capabilities into reliable, production-grade applications? Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. Data-Driven Government: A Fireside Chat with the Former U.S.

AI 64

AI AI ML ML 64

DagsHub

APRIL 21, 2024

If you are a Marvel fan, you might know that killing Thanos does not guarantee a safer world as there are other villains to deal with. Source: [link] Similarly, while building any machine learning-based product or service, training and evaluating the model on a few real-world samples does not necessarily mean the end of your responsibilities.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Snorkel AI

OCTOBER 12, 2023

How can we convert these capabilities into reliable, production-grade applications? How can we convert these capabilities into reliable, production-grade applications? Snorkel AI hosted the 2023 installment of its Future of Data-Centric AI virtual conference in June. Data-Driven Government: A Fireside Chat with the Former U.S.

AI 59

AI AI ML ML 59

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

APRIL 19, 2023

Furthermore, highly accurate predictions depend on timely access to feature values that change quickly over time, adding even more complexity to the job of building a highly available and accurate solution. As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management.

ML 77

ML ML Apache Kafka SQL 77

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. That said, I want to hear about errors in this data set and how you would rate features. Release v1.0 IPO in 2013.

Tableau 144

Tableau ML ML Database 144

Tableau

DECEMBER 1, 2021

In this blog post, I'll describe my analysis of Tableau's history to drive analytics innovation—in particular, I've identified six key innovation vectors through reflecting on the top innovations across Tableau releases. That said, I want to hear about errors in this data set and how you would rate features. Release v1.0 IPO in 2013.

Tableau 98

Tableau ML ML Database 98

AWS Machine Learning Blog

SEPTEMBER 28, 2023

We are excited to announce new capabilities and services today to allow organizations big and small to use generative AI in creative ways, building new applications and improving how they work. From startups to enterprises, organizations of all sizes are getting started with generative AI.

AWS 117

AWS AI AI Machine Learning 117