Flipboard

JULY 7, 2025

By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on July 7, 2025 in Language Models Image by Author | Canva Large language models are a big step forward in artificial intelligence. LLMs learn the rules of language, like grammar and meaning, which allows them to perform many tasks.

Natural Language Processing 160

Natural Language Processing Machine Learning Machine Learning Data Science 160

KDnuggets

JUNE 11, 2025

By Abid Ali Awan , KDnuggets Assistant Editor on June 11, 2025 in Artificial Intelligence Image by Author MCPs (Model Context Protocols) are quickly becoming the backbone of modern AI tooling. By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: No, thanks!

Natural Language Processing 181

Natural Language Processing Data Science Machine Learning Machine Learning 181

Flipboard

JULY 23, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Fun Generative AI Projects for Absolute Beginners New to generative AI?

Natural Language Processing 131

Natural Language Processing Data Science Python Machine Learning 131

Flipboard

JUNE 16, 2025

By Iván Palomares Carrascosa , KDnuggets Technical Content Specialist on June 16, 2025 in Language Models Image by Author | Ideogram Introduction Large language models have revolutionized the entire artificial intelligence landscape in the recent few years, marking the beginning of a new era in AI history.

Natural Language Processing 144

Natural Language Processing Data Science Machine Learning Machine Learning 144

Dataconomy

JULY 7, 2025

In the realm of artificial intelligence, the emergence of vector databases is changing how we manage and retrieve unstructured data. By allowing for semantic similarity searches, vector databases are enhancing applications across various domains, from personalized content recommendations to advanced natural language processing.

Database 91

Database K-nearest Neighbors Natural Language Processing Algorithm 91

KDnuggets

JULY 8, 2025

By Matthew Mayo , KDnuggets Managing Editor on July 8, 2025 in Programming Image by Author | ChatGPT Of all the buzzwords to emerge from the recent explosion in artificial intelligence, "vibe coding" might be the most evocative, and the most polarizing. He is driven by a mission to democratize knowledge in the data science community.

Natural Language Processing 279

Natural Language Processing Data Science Machine Learning Machine Learning 279

KDnuggets

JUNE 23, 2025

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 23, 2025 in Artificial Intelligence Image by Author | Ideogram Agentic AI has recently become the hottest topic in AI implementation. Agentic AI works by understanding its environment, reasoning to develop plans, executing the plans, and learns from the output.

Natural Language Processing 280

Natural Language Processing Data Science Machine Learning Machine Learning 280

Pickl AI

OCTOBER 27, 2024

Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1. Are you aiming for a role as a Data Analyst, Machine Learning engineer, or perhaps a Data Scientist specialising in Artificial Intelligence?

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Flipboard

JULY 3, 2025

Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing these large models. sql project.athena SELECT * FROM " "."sqad"; You can follow the data preprocessing steps in the notebook. %%sql

ML 114

ML ML AWS Data Engineering 114

Pickl AI

JUNE 5, 2025

As Indian companies across industries increasingly embrace data-driven decision-making, artificial intelligence (AI), and automation, the demand for skilled data scientists continues to surge. SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Data Manipulation: Pandas, NumPy, dplyr.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

AWS Machine Learning Blog

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. For this post, we use a dataset called sql-create-context , which contains samples of natural language instructions, schema definitions and the corresponding SQL query.

AWS 79

AWS SQL AI AI 79

AWS Machine Learning Blog

OCTOBER 24, 2024

The agent can generate SQL queries using natural language questions using a database schema DDL (data definition language for SQL) and execute them against a database instance for the database tier. Make sure to add a semicolon after the end of the SQL statement generated.

AWS 97

AWS SQL Database AI 97

AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. Sonnet across various tasks.

Data Preparation 97

Data Preparation Machine Learning Machine Learning ML 97

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques like Natural Language Processing (NLP) and computer vision are applied to extract insights from text and images. Data Scientists rely on technical proficiency.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

KDnuggets

JUNE 16, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 16, 2025 in Artificial Intelligence Image by Author Tired of repetitive tasks and constant copy-pasting between apps? By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: No, thanks!

Natural Language Processing 301

Natural Language Processing Data Science AI AI 301

ODSC - Open Data Science

MARCH 3, 2025

Their work has set a gold standard for integrating advanced natural language processing (NLP ) into clinical settings. Few understand this better than David Talby and his team at John Snow Labs, a leading provider of medical-specific LLMs. Consistency: Variability in responses undermines clinician trust.

Natural Language Processing 52

Natural Language Processing Data Scientist SQL Database 52

How to Learn Machine Learning

MAY 2, 2025

Text and NLP : Natural language processing tasks such as sentiment analysis, named entity recognition, and text classification are well-supported. The platform continues to evolve rapidly, with Microsoft regularly adding new features and capabilities to keep pace with the fast-moving field of artificial intelligence.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

Flipboard

JUNE 16, 2025

Amazon Comprehend is a natural language processing and machine learning service capable of extracting metadata, extracting key phrases and determining sentiment from text in multiple languages. The natural evolution for a data market like this is the arrival of industry-specific services aligned to industry verticals.

Big Data 137

Big Data Big Data Machine Learning Machine Learning 137

ODSC - Open Data Science

MARCH 10, 2025

Over the past decade, data science has undergone a remarkable evolution, driven by rapid advancements in machine learning, artificial intelligence, and big data technologies. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

AWS Machine Learning Blog

APRIL 10, 2025

Generate SQL code from a database entity-relationship diagram An entity-relationship (ER) diagram is a visual representation used in database design to illustrate the relationships between entities and their attributes. You need to generate PostgreSQL compatible SQL statements to create the tables" """ We input the following ER diagram.

AWS 112

AWS SQL Database Machine Learning 112

AWS Machine Learning Blog

APRIL 16, 2025

The increased usage of generative AI models has offered tailored experiences with minimal technical expertise, and organizations are increasingly using these powerful models to drive innovation and enhance their services across various domains, from natural language processing (NLP) to content generation.

AWS 106

AWS ML ML Artificial Intelligence 106

Analytics Vidhya

FEBRUARY 29, 2024

Introduction In the field of modern data management, two innovative technologies have appeared as game-changers: AI-language models and graph databases. AI language models, shown by new products like OpenAI’s GPT series, have changed the landscape of natural language processing.

Database 290

Database Natural Language Processing AI AI 290

AWS Machine Learning Blog

APRIL 16, 2024

In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

SQL 127

SQL AWS Database Data Scientist 127

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. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language.

SQL 142

SQL AWS Database ML 142

Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Data Science Dojo

OCTOBER 10, 2023

The emergence of Artificial Intelligence in every field is reflected by the rise of its worth in the global market. The global market for artificial intelligence (AI) was worth USD 454.12 The global market for artificial intelligence (AI) was worth USD 454.12 billion by 2032. billion by 2032.

AI 244

AI AI Data Observability Artificial Intelligence 244

AWS Machine Learning Blog

AUGUST 30, 2024

With the rapid growth of generative artificial intelligence (AI), many AWS customers are looking to take advantage of publicly available foundation models (FMs) and technologies. This includes Meta Llama 3, Meta’s publicly available large language model (LLM).

SQL 92

SQL AWS Database AI 92

Data Science Dojo

AUGUST 18, 2023

Transformers are a type of neural network that are well-suited for natural language processing tasks. They are able to learn long-range dependencies between words, which is essential for understanding the nuances of human language. AGI is a type of artificial intelligence that can understand and reason like a human being.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

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. RAG with semantic search – Conventional RAG with semantic search was the last step before moving to SQL generation.

SQL 167

SQL Database AWS Machine Learning 167

AWS Machine Learning Blog

AUGUST 20, 2024

One of the most common applications of generative artificial intelligence (AI) and large language models (LLMs) in an enterprise environment is answering questions based on the enterprise’s knowledge corpus. Natural language is ambiguous and imprecise, whereas data adheres to rigid schemas.

SQL 119

SQL AWS Database Natural Language Processing 119

Dataconomy

AUGUST 7, 2023

Artificial intelligence is no longer fiction and the role of AI databases has emerged as a cornerstone in driving innovation and progress. AI databases are specialized to store, manage, and retrieve data for artificial intelligence and machine learning applications ( Image credit ) What is an AI database?

Database 168

Database AI AI ML 168

AWS Machine Learning Blog

AUGUST 22, 2024

Snowflake Arctic is a family of enterprise-grade large language models (LLMs) built by Snowflake to cater to the needs of enterprise users, exhibiting exceptional capabilities (as shown in the following benchmarks ) in SQL querying, coding, and accurately following instructions. Text / string where clauses must be fuzzy match e.g

SQL 129

SQL AWS Python ML 129

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.

SQL 132

SQL AWS AI AI 132

Data Science Dojo

JULY 3, 2024

Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

JUNE 13, 2023

The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL. The AI and language models must identify the appropriate data sources, generate effective SQL queries, and produce coherent responses with embedded results at scale.

Database 101

Database SQL AWS AI 101

AWS Machine Learning Blog

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. You can use LCEL to build the SQL chain. For example, “What are the max metrics for device 1009?”

AWS 137

AWS AI AI SQL 137

Towards AI

JULY 21, 2023

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 This Week Sentence Transformers txtai: AI-Powered Search Engine Fine-tuning Custom Datasets Data API Endpoint With SQL It’s LIT ? Fury What a week. Let’s recap. old mermaid money found on the Titanic ?

Deep Learning 98

Deep Learning Deep Learning SQL Natural Language Processing 98