Artificial Intelligence, Books and ML

Summarizing Books as Podcasts

O'Reilly Media

DECEMBER 16, 2024

Can we integrate our knowledge of books and technology with AIs ability to summarize? You need to integrate artificial intelligence with human intelligence. Its a multistage pipeline: We use AI to generate a summary for each chapter of a book, making sure that all the important topics are covered.

AI

AI AI Artificial Intelligence Artificial Intelligence

This Week’s Top 4 Research Papers in Generative AI Research (7 July- 14 July 2025)

Data Science Dojo

JULY 14, 2025

Generative AI research is rapidly transforming the landscape of artificial intelligence, driving innovation in large language models, AI agents, and multimodal systems. The focus is on the MLE-bench, a challenging benchmark where agents compete in Kaggle-style competitions to solve real-world ML problems.

Machine Learning

Machine Learning Machine Learning AI AI

How to Work Smarter, Not Harder, with Artificial Intelligence

Flipboard

JUNE 13, 2025

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. spam detection) and regression (e.g., predicting housing prices).

Artificial Intelligence

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning

Webinars

Precision in Motion: Why Process Optimization Is the Future of Manufacturing

Airflow Best Practices for ETL/ELT Pipelines

MORE WEBINARS

Lessons Learned After 6.5 Years Of Machine Learning

Flipboard

JUNE 30, 2025

Publish AI, ML & data-science insights to a global community of data professionals. In looking back, I often find new principles that have been accompanying me during learning ML. Luckily, in our domain, doing ML research and engineering, quick wit is not the superpower that gets you far. You want to train ML models.

Machine Learning

Machine Learning Machine Learning Data Science ML

Using transcription confidence scores to improve slot filling in Amazon Lex

AWS Machine Learning Blog

DECEMBER 23, 2024

Customer: Id like to check my booking. Virtual Agent: Thats great, please say your 5 character booking reference, you will find it at the top of the information pack we sent. What is your booking reference? Virtual Agent: Your booking 1 9 A A B is currently being progressed. Customer: Id like to check my booking.

AWS

AWS Natural Language Processing ML ML

From Chaos to Control: A Cost Maturity Journey with Databricks

databricks

JULY 24, 2025

auto:latest-lts-ml: Maps to the latest LTS Databricks Runtime ML version. Or auto:latest and auto:latest-ml for the latest Generally Available (GA) Databricks runtime version (or ML, respectively), which may not be LTS. Memory-optimized for most ML workloads. 2xlarge Compute-optimized for streaming workloads.

Clustering

Clustering SQL Azure AWS

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 29, 2024

Shreyas has a background in large-scale optimization and ML and in the use of ML and reinforcement learning for accelerating optimization tasks. Zhengyuan Shen is an Applied Scientist at Amazon Bedrock, specializing in foundational models and ML modeling for complex tasks including natural language and structured data understanding.

AI

AI AI ML ML

AI and ML for Coders in PyTorch

Flipboard

JULY 17, 2025

Selection from AI and ML for Coders in PyTorch [Book] Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced.

ML

ML ML Machine Learning Machine Learning

EBSCOlearning scales assessment generation for their online learning content with generative AI

AWS Machine Learning Blog

DECEMBER 11, 2024

The challenge: Scaling quality assessments EBSCOlearnings learning pathscomprising videos, book summaries, and articlesform the backbone of a multitude of educational and professional development programs. This correctly reflects the assertion of the Consumer Relevancy model as described in the Book Summary.

AI

AI AI AWS Machine Learning

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

Flipboard

DECEMBER 2, 2024

This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud. The scale down to zero feature presents new opportunities for how businesses can approach their cloud-based ML operations. However, it’s possible to forget to delete these endpoints when you’re done.

ML

ML ML AWS Machine Learning

End-to-End model training and deployment with Amazon SageMaker Unified Studio

Flipboard

JULY 3, 2025

SageMaker Unified Studio streamlines access to familiar tools and functionality from purpose-built AWS analytics and artificial intelligence and machine learning (AI/ML) services, including Amazon EMR , AWS Glue , Amazon Athena , Amazon Redshift , Amazon Bedrock , and Amazon SageMaker AI. medium ) to ( ml.m5.xlarge

ML

ML ML AWS Data Engineering

Deploy Gradio Apps on Hugging Face Spaces

PyImageSearch

DECEMBER 30, 2024

Hugging Face Spaces is a platform for deploying and sharing machine learning (ML) applications with the community. It offers an interactive interface, enabling users to explore ML models directly in their browser without the need for local setup. And thats exactly what I do. Download the code!

Deep Learning

Deep Learning Deep Learning ML ML

Summary of DAIS 2025 Announcements Through the Lens of Games

databricks

JULY 15, 2025

Churn Mitigation: Maintain lists of users who have been determined to be at risk to churn as a result of ML models, statistical propensity and signals across your entire Lakehouse. Large organizations will be able to create flexible, sharable, ML interfaces empowering business users to benefit from more ML models.

Data Engineering

Data Engineering Data Engineering Data Engineer Data Engineering

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart

AWS Machine Learning Blog

NOVEMBER 14, 2024

ML practitioners can deploy FMs to dedicated SageMaker instances from a network isolated environment and customize models using Amazon SageMaker for model training and deployment. Prompt : Expressionist painting, side profile of a silhouette of a student seated at a desk, absorbed in reading a book. Quilling style.

AWS

AWS ML ML Machine Learning

From Architecture to Execution: Inside Week 2 of the Agentic AI Summit

ODSC - Open Data Science

JULY 25, 2025

Building Autonomous Web Agents Naman Garg, Co-Founder of AGI Inc This segment focuses on the development of autonomous AI agents capable of navigating and interacting with web interfaces, from understanding UI elements like text fields and buttons to performing complex tasks such as online bookings or purchases.

AI

AI AI Data Engineering Data Engineering

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning Blog

NOVEMBER 1, 2024

These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL. For our evaluation, we used the F1 score , which is an evaluation metric to assess the performance of LLMs and traditional ML models. Sonnet across various tasks.

Data Preparation

Data Preparation Machine Learning Machine Learning ML

Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio

AWS Machine Learning Blog

JULY 9, 2025

SageMaker Unified Studio brings together the functionality and tools from existing AWS analytics and AI/ML services, including Amazon EMR , AWS Glue , Amazon Athena , Amazon Redshift , Amazon Bedrock, and Amazon SageMaker AI. To manage data access, you can adjust the IAM permissions tied to the project’s role.

AWS

AWS ML ML AI

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

At its core, Amazon Bedrock provides the foundational infrastructure for robust performance, security, and scalability for deploying machine learning (ML) models. The serverless infrastructure of Amazon Bedrock manages the execution of ML models, resulting in a scalable and reliable application.

AI

AI AI AWS Database

Virtual agents

Dataconomy

MARCH 17, 2025

By integrating advanced technology, these intelligent virtual agents (IVAs) operate around the clock, addressing customer needs with remarkable speed and accuracy. This innovation in customer service exemplifies how organizations leverage artificial intelligence to improve user experiences and streamline operations.

Natural Language Processing

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence

Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning Blog

OCTOBER 29, 2024

With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. About the authors Ishan Singh is a Generative AI Data Scientist at Amazon Web Services, where he helps customers build innovative and responsible generative AI solutions and products.

AWS

AWS AI AI Data Scientist

AI First Puts Humans First

O'Reilly Media

MAY 28, 2025

The whole thrust of my 2017 book WTF? For example, in searching the OReilly platforms books, videos, and live online courses, we might ask something like: What are the differences between Camille Fourniers book The Managers Path and Addy Osmanis Leading Effective Engineering Teams ? That idea is anathema to me.

AI

AI AI Algorithm ML

Protect sensitive data in RAG applications with Amazon Bedrock

Flipboard

APRIL 23, 2025

About the authors Praveen Chamarthi brings exceptional expertise to his role as a Senior AI/ML Specialist at Amazon Web Services, with over two decades in the industry. When hes not advancing ML workloads, Praveen can be found immersed in books or enjoying science fiction films.

AWS

AWS ML ML AI

Enhancing Search Relevancy with Cohere Rerank 3.5 and Amazon OpenSearch Service

Flipboard

DECEMBER 18, 2024

The service also provides multiple query languages, including SQL and Piped Processing Language (PPL) , along with customizable relevance tuning and machine learning (ML) integration for improved result ranking. Teams can use OpenSearch Service ML connectors which facilitate access to models hosted on third-party ML platforms.

K-nearest Neighbors

K-nearest Neighbors AWS ML ML

New Method Customises LLMs in Seconds, Beats Tuning: Research

Flipboard

JUNE 23, 2025

Book here Ankush Das I am a tech aficionado and a computer science graduate with a keen interest in AI, Coding, Open Source, and Cloud. DnD also generalised across domains and model sizes, from 0.5B to 7B parameters. In cross-domain tests, accuracy on a science dataset improved from 35.6% 📣 Want to advertise in AIM? Have a tip?

Data Engineering

Data Engineering Data Engineering Data Engineer Data Engineering

How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

Algorithm

Algorithm Machine Learning Machine Learning K-nearest Neighbors

How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

AWS Machine Learning Blog

DECEMBER 18, 2024

Training an LLM is a compute-intensive and complex process, which is why Fastweb, as a first step in their AI journey, used AWS generative AI and machine learning (ML) services such as Amazon SageMaker HyperPod. He brings deep expertise in IT strategy, cybersecurity, and artificial intelligence to drive complex transformation programs.

Clustering

Clustering AWS AI AI

Large Language Models: A Self-Study Roadmap

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. They can predict and generate text that sounds like it was written by a human.

Natural Language Processing

Natural Language Processing Machine Learning Machine Learning Data Science

Designing Collaborative Multi-Agent Systems with the A2A Protocol

O'Reilly Media

JUNE 18, 2025

Everybody is dreaming of armies of agents, booking hotels and flights, researching complex topics, and writing PhD theses for us. How does your assistant delegate booking a flight without needing to know the specific, proprietary, and likely undocumented inner workings of one particular travel agent?

AI

AI AI Database Python

Advanced fine-tuning methods on Amazon SageMaker AI

AWS Machine Learning Blog

JULY 11, 2025

This process typically involves training from scratch on diverse datasets, often consisting of hundreds of billions of tokens drawn from books, articles, code repositories, webpages, and other public sources. AWS provides a comprehensive suite of tools for data scientists, ML engineers, and business users to achieve their ML goals.

AWS

AWS AI AI Deep Learning

Announcing the First Speakers for the Virtual Agentic AI Summit in July

ODSC - Open Data Science

JUNE 12, 2025

Meet the Featured Speakers & Instructors Amber Roberts Amber Roberts is a seasoned AI leader and educator, currently serving as Staff Technical Marketing Manager at Databricks, where she drives innovation at the intersection of artificial intelligence and developer enablement.

Machine Learning

Machine Learning Machine Learning AI AI

Machine Learning in Finance: Risks and Rewards

How to Learn Machine Learning

JUNE 17, 2025

From developing investment strategies to credit scoring, fraud detection, and algorithmic trading, Machine Learning (ML) is transforming decision-making in financial services. Financial institutions remove ML models available for predicting stock price, currency changes, and economic trends. What Is Machine Learning in Finance?

Machine Learning

Machine Learning Machine Learning ML ML

Getting Started with YOLO11

PyImageSearch

JANUARY 13, 2025

When exporting, we can choose from formats like ONNX, TensorRT, Core ML, and more. My mission is to change education and how complex Artificial Intelligence topics are taught. Inside you'll find my hand-picked tutorials, books, courses, and libraries to help you master CV and DL! And thats exactly what I do.

Python

Python Deep Learning Deep Learning Computer Science

Our Recap of the 10th Anniversary of ODSC East

ODSC - Open Data Science

JUNE 9, 2025

Our 10th anniversary of ODSC East is now a part of our history books, and we couldn’t be happier with how everything turned out. We hosted fun networking sessions, book signings, exciting keynotes, and a variety of sessions to cater to everyone’s needs. What’s next? We still have plenty more for the year ahead!

Data Science

Data Science AI AI Data Scientist

The Importance of Natural Language in Building AI Agents

ODSC - Open Data Science

JULY 15, 2025

Rather than depending on AI or ML engineers to translate business requirements into complex code-first frameworks, subject matter experts can now directly articulate workflows, define system connections, specify tasks, and describe jobs in plain language that the AI can immediately understand and execute.

AI

AI AI Computer Science Computer Science

Educating a New Generation of Workers

O'Reilly Media

NOVEMBER 26, 2024

Too many students think that engineering is about getting the answer in the back of the book, not about making the trade-offs that are necessary in the real world. Critical thinking skills can also be developed by reading books, writing about what you learned, and participating in study groups.

Cloud Computing

Cloud Computing AWS Azure Machine Learning

Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

JULY 14, 2025

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise.

Machine Learning

Machine Learning Machine Learning ML ML

Azure Machine Learning – Empowering Your Data Science Journey

How to Learn Machine Learning

MAY 2, 2025

Azure Machine Learning is Microsoft’s enterprise-grade service that provides a comprehensive environment for data scientists and ML engineers to build, train, deploy, and manage machine learning models at scale. You can explore its capabilities through the official Azure ML Studio documentation. Awesome, right?

Azure

Azure Machine Learning Machine Learning Data Science

Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

JULY 3, 2025

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise.

Machine Learning

Machine Learning Machine Learning ML ML

Mistral’s new “environmental audit” shows how much AI is hurting the planet

Flipboard

JULY 25, 2025

A study from researchers at the University of California, Riverside , for instance, estimated the average US AI data center used for OpenAIs GPT-3 consumed nearly 17 ml of water per LLM prompt. He once wrote a whole book about Minesweeper. And a 2024 study published in the journal Nature estimated an average of 2.2g

AI

AI AI Computer Science Computer Science

Meet the Newest Minds Powering ODSC East 2025

ODSC - Open Data Science

APRIL 14, 2025

Michael Galarnyk, Learning Instructor | PhD Student at LinkedIn | GeorgiaTech Michael is a machine learning educator and PhD student at Georgia Tech researching ML for financial markets. He has taught Python and ML since 2015 through LinkedIn Learning, Stanford, andUCSD.

Data Science

Data Science Machine Learning Machine Learning ML

Build a Search Engine: Semantic Search System Using OpenSearch

PyImageSearch

MAY 19, 2025

Text-to-Vector Conversion (Sentence Transformer Model) Inside OpenSearch, the neural search module passes the query text to a pre-trained Sentence Transformer model (from Hugging Face or another ML framework). My mission is to change education and how complex Artificial Intelligence topics are taught. Download the code!

K-nearest Neighbors

K-nearest Neighbors AWS Deep Learning Deep Learning

Top Technical Skills You Must Have as a Developer in 2025

Flipboard

JUNE 16, 2025

If undecided, begin with DSA and a versatile language like Python, which can later transition into ML or web development. Data Tools Excel remains a fundamental tool for basic analysis, while Tableau, Power BI, Qlik Sense and QlikView offer advanced visualisation and business intelligence capabilities. 📣 Want to advertise in AIM?

Python

Python AWS Machine Learning Machine Learning

How to Download Video from YouTube for Machine Learning Projects

How to Learn Machine Learning

MAY 14, 2025

Today, we’re diving into something super practical that will help you gather data for your ML projects – how to download video from YouTube easily and efficiently! Format Flexibility : Download in MP3, MP4, M4V, FLV, WEBM, 3GP, WMV, AVI – whatever your ML project requires. What is Y2Mate? Y2Mate has got you covered!

Machine Learning

Machine Learning Machine Learning ML ML

Copyright-Aware AI: Let’s Make It So

O'Reilly Media

APRIL 2, 2025

On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. And now, of course, given reports that Meta has trained Llama on LibGen, the Russian database of pirated books, one has to wonder whether OpenAI has done the same. He never did.

AI

AI AI Database ML

Summarizing Books as Podcasts

This Week’s Top 4 Research Papers in Generative AI Research (7 July- 14 July 2025)

Webinars

Trending Sources

How to Work Smarter, Not Harder, with Artificial Intelligence

Webinars

Lessons Learned After 6.5 Years Of Machine Learning

Using transcription confidence scores to improve slot filling in Amazon Lex

From Chaos to Control: A Cost Maturity Journey with Databricks

Improve the performance of your Generative AI applications with Prompt Optimization on Amazon Bedrock

AI and ML for Coders in PyTorch

EBSCOlearning scales assessment generation for their online learning content with generative AI

Unlock cost savings with the new scale down to zero feature in SageMaker Inference

End-to-End model training and deployment with Amazon SageMaker Unified Studio

Deploy Gradio Apps on Hugging Face Spaces

Summary of DAIS 2025 Announcements Through the Lens of Games

Introducing Stable Diffusion 3.5 Large in Amazon SageMaker JumpStart

From Architecture to Execution: Inside Week 2 of the Agentic AI Summit

Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

Virtual agents

Empower your generative AI application with a comprehensive custom observability solution

AI First Puts Humans First

Protect sensitive data in RAG applications with Amazon Bedrock

Enhancing Search Relevancy with Cohere Rerank 3.5 and Amazon OpenSearch Service

New Method Customises LLMs in Seconds, Beats Tuning: Research

How IDIADA optimized its intelligent chatbot with Amazon Bedrock

How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

Large Language Models: A Self-Study Roadmap

Designing Collaborative Multi-Agent Systems with the A2A Protocol

Advanced fine-tuning methods on Amazon SageMaker AI

Announcing the First Speakers for the Virtual Agentic AI Summit in July

Machine Learning in Finance: Risks and Rewards

Getting Started with YOLO11

Our Recap of the 10th Anniversary of ODSC East

The Importance of Natural Language in Building AI Agents

Educating a New Generation of Workers

Announcing the First Speakers for ODSC West 2025

Azure Machine Learning – Empowering Your Data Science Journey

Announcing the First Speakers for ODSC West 2025

Mistral’s new “environmental audit” shows how much AI is hurting the planet

Meet the Newest Minds Powering ODSC East 2025

Build a Search Engine: Semantic Search System Using OpenSearch

Top Technical Skills You Must Have as a Developer in 2025

How to Download Video from YouTube for Machine Learning Projects

Copyright-Aware AI: Let’s Make It So

Stay Connected