talk-data.com

Open-RAG-Eval is an open-source framework that revolutionizes RAG evaluation by harnessing the power of LLM judges for scalable, automated evaluation without the need for golden answers or golden chunks. Building on pioneering research from the University of Waterloo, this framework integrates innovative tools like UMBRELA for reference-free relevance scoring and AutoNuggetizer for automated fact-checking. Designed with a flexible connectors architecture, it seamlessly plugs into any RAG pipeline while delivering fast, transparent, and interpretable metrics on retrieval, generation, and hallucination in RAG.

Important: RSVP here to receive joining link. (rsvp on meetup will NOT receive joining link).

Join us for a series of AI-focused webinars designed to enhance your development skills, accelerate productivity, and explore the latest AI innovations. Whether you're building local LLMs, optimizing AI workflows, or deploying intelligent AI agents, these sessions—led by industry experts—will provide invaluable insights and hands-on experience.

Each session is tailored to different skill levels, from novice to advanced developers, offering deep technical insights and real-world applications. Register for each of the sessions:

• Mar 26th (Intel): Building AI assistants and Agents in the enterprise, RSVP->
• April 3 (Google): AI Seminar (Virtual S15)
• April 5: AI Study Group (Virtual) Session 3 - MCP
• If you can't make to the live session, still register to receive recordings. *

Session #3: Building AI assistants and Agents in the enterprise Speakers: Dr. Amr Awadallah (Vectara) , Ofer Mendelevitch (Vectara) Abstract: Retrieval Augmented Generation (RAG) is widely recognized as an effective means to empower knowledge workers with low-hallucination results, maximize privacy and security, improve scalability, and foster explainability. Explore the proven techniques for deploying a trusted RAG system versus building a complex, difficult-to-manage approach.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Join us for an exclusive virtual forum exploring Deepseek, its capabilities, and how to integrate it into your workflows. This event is designed for developers, engineers, and AI enthusiasts looking to deep dive into the technology and learn hands-on implementation.

What to Expect:

• Deepseek Unleashed – Explore the process, technology, and innovations behind Deepseek with expert-led tech talks;
• Deepseek Integration – Learn how to use Deepseek effectively and integrate it into your services with live demos and step-by-step tutorials.

Speakers/Topics:

• Kris Overholt & Ivan Nardini (Google)
• Suman Debnath (AWS)
• Laurie Voss (LlamaIndex)
• Jon Peck (GitHub)
• Ofer Mendelevitch (Vectara)
• and more

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 450K+ AI developers worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Join us for an exclusive virtual forum exploring Deepseek, its capabilities, and how to integrate it into your workflows. This event is designed for developers, engineers, and AI enthusiasts looking to deep dive into the technology and learn hands-on implementation.

What to Expect:

• Deepseek Unleashed – Explore the process, technology, and innovations behind Deepseek with expert-led tech talks;
• Deepseek Integration – Learn how to use Deepseek effectively and integrate it into your services with live demos and step-by-step tutorials.

Speakers/Topics:

• Kris Overholt & Ivan Nardini (Google)
• Suman Debnath (AWS)
• Laurie Voss (LlamaIndex)
• Jon Peck (GitHub)
• Ofer Mendelevitch (Vectara)
• and more

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 450K+ AI developers worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Join us for an exclusive virtual forum exploring Deepseek, its capabilities, and how to integrate it into your workflows. This event is designed for developers, engineers, and AI enthusiasts looking to deep dive into the technology and learn hands-on implementation.

What to Expect:

• Deepseek Unleashed – Explore the process, technology, and innovations behind Deepseek with expert-led tech talks;
• Deepseek Integration – Learn how to use Deepseek effectively and integrate it into your services with live demos and step-by-step tutorials.

Speakers/Topics:

• Kris Overholt & Ivan Nardini (Google)
• Suman Debnath (AWS)
• Laurie Voss (LlamaIndex)
• Jon Peck (GitHub)
• Ofer Mendelevitch (Vectara)
• and more

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 450K+ AI developers worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

Important: Register on the event website to receive joining link. (rsvp on meetup will NOT receive joining link).

Description: Join us for an exclusive virtual forum exploring Deepseek, its capabilities, and how to integrate it into your workflows. This event is designed for developers, engineers, and AI enthusiasts looking to deep dive into the technology and learn hands-on implementation.

What to Expect:

• Deepseek Unleashed – Explore the process, technology, and innovations behind Deepseek with expert-led tech talks;
• Deepseek Integration – Learn how to use Deepseek effectively and integrate it into your services with live demos and step-by-step tutorials.

Speakers/Topics:

• Kris Overholt & Ivan Nardini (Google)
• Suman Debnath (AWS)
• Laurie Voss (LlamaIndex)
• Jon Peck (GitHub)
• Ofer Mendelevitch (Vectara)
• and more

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 450K+ AI developers worldwide.

Local and Global AI Community on Discord Join us on discord for local and global AI tech community:

• Events chat: chat and connect with speakers and global and local attendees;
• Learning AI: events, learning materials, study groups;
• Startups: innovation, projects collaborations, founders/co-founders;
• Jobs and Careers: job openings, post resumes, hiring managers

The Example-Rich, Hands-On Guide to Data Munging with Apache Hadoop TM Data scientists spend much of their time “munging” data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation. These tasks are both critical and surprisingly interesting. Most important, they deepen your understanding of your data’s structure and limitations: crucial insight for improving accuracy and mitigating risk in any analytical project. Now, two leading Hortonworks data scientists, Ofer Mendelevitch and Casey Stella, bring together powerful, practical insights for effective Hadoop-based data munging of large datasets. Drawing on extensive experience with advanced analytics, the authors offer realistic examples that address the common issues you’re most likely to face. They describe each task in detail, presenting example code based on widely used tools such as Pig, Hive, and Spark. This concise, hands-on eBook is valuable for every data scientist, data engineer, and architect who wants to master data munging: not just in theory, but in practice with the field’s #1 platform–Hadoop. Coverage includes A framework for understanding the various types of data quality checks, including cell-based rules, distribution validation, and outlier analysis Assessing tradeoffs in common approaches to imputing missing values Implementing quality checks with Pig or Hive UDFs Transforming raw data into “feature matrix” format for machine learning algorithms Choosing features and instances Implementing text features via “bag-of-words” and NLP techniques Handling time-series data via frequency- or time-domain methods Manipulating feature values to prepare for modeling Data Munging with Hadoop is part of a larger, forthcoming work entitled Data Science Using Hadoop. To be notified when the larger work is available, register your purchase of Data Munging with Hadoop at informit.com/register and check the box “I would like to hear from InformIT and its family of brands about products and special offers.”