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False Starts and Dead Ends: Building a Retrieval Augmented Generation System

Posted Oct 24, 2023 | Views 362
# Retrieval Augmented Generation System
# Best Practices
# Train GRC Inc
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SPEAKERS
Wes  Ladd
Wes  Ladd
Wes Ladd
Founder @ Train GRC

Wes Ladd is the founder of Train GRC, a cybersecurity training platform for Governance, Risk, and Compliance (GRC) professionals. As part of Train GRC, Wes is the Lead Developer and Architect of StinkBait - a research and reporting tool for cybersecurity professionals that leverages LLMs and associated technologies.

He has served in a variety of capacities, from Internal Auditor to Penetration Tester to Cloud Security Architect. This experience has included helping some of the largest and most heavily regulated organizations - including Fortune 100 Banking, Energy, and Healthcare clients - with their technology and cybersecurity challenges.

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Wes Ladd is the founder of Train GRC, a cybersecurity training platform for Governance, Risk, and Compliance (GRC) professionals. As part of Train GRC, Wes is the Lead Developer and Architect of StinkBait - a research and reporting tool for cybersecurity professionals that leverages LLMs and associated technologies.

He has served in a variety of capacities, from Internal Auditor to Penetration Tester to Cloud Security Architect. This experience has included helping some of the largest and most heavily regulated organizations - including Fortune 100 Banking, Energy, and Healthcare clients - with their technology and cybersecurity challenges.

+ Read More
Adam Becker
Adam Becker
Adam Becker
IRL @ MLOps Community

I'm a tech entrepreneur and I spent the last decade founding companies that drive societal change.

I am now building Deep Matter, a startup still in stealth mode...

I was most recently building Telepath, the world's most developer-friendly machine learning platform. Throughout my previous projects, I had learned that building machine learning powered applications is hard - especially hard when you don't have a background in data science. I believe that this is choking innovation, especially in industries that can't support large data teams.

For example, I previously co-founded Call Time AI, where we used Artificial Intelligence to assemble and study the largest database of political contributions. The company powered progressive campaigns from school board to the Presidency. As of October, 2020, we helped Democrats raise tens of millions of dollars. In April of 2021, we sold Call Time to Political Data Inc.. Our success, in large part, is due to our ability to productionize machine learning.

I believe that knowledge is unbounded, and that everything that is not forbidden by laws of nature is achievable, given the right knowledge. This holds immense promise for the future of intelligence and therefore for the future of well-being. I believe that the process of mining knowledge should be done honestly and responsibly, and that wielding it should be done with care. I co-founded Telepath to give more tools to more people to access more knowledge.

I'm fascinated by the relationship between technology, science and history. I graduated from UC Berkeley with degrees in Astrophysics and Classics and have published several papers on those topics. I was previously a researcher at the Getty Villa where I wrote about Ancient Greek math and at the Weizmann Institute, where I researched supernovae.

I currently live in New York City. I enjoy advising startups, thinking about how they can make for an excellent vehicle for addressing the Israeli-Palestinian conflict, and hearing from random folks who stumble on my LinkedIn profile. Reach out, friend!

+ Read More

I'm a tech entrepreneur and I spent the last decade founding companies that drive societal change.

I am now building Deep Matter, a startup still in stealth mode...

I was most recently building Telepath, the world's most developer-friendly machine learning platform. Throughout my previous projects, I had learned that building machine learning powered applications is hard - especially hard when you don't have a background in data science. I believe that this is choking innovation, especially in industries that can't support large data teams.

For example, I previously co-founded Call Time AI, where we used Artificial Intelligence to assemble and study the largest database of political contributions. The company powered progressive campaigns from school board to the Presidency. As of October, 2020, we helped Democrats raise tens of millions of dollars. In April of 2021, we sold Call Time to Political Data Inc.. Our success, in large part, is due to our ability to productionize machine learning.

I believe that knowledge is unbounded, and that everything that is not forbidden by laws of nature is achievable, given the right knowledge. This holds immense promise for the future of intelligence and therefore for the future of well-being. I believe that the process of mining knowledge should be done honestly and responsibly, and that wielding it should be done with care. I co-founded Telepath to give more tools to more people to access more knowledge.

I'm fascinated by the relationship between technology, science and history. I graduated from UC Berkeley with degrees in Astrophysics and Classics and have published several papers on those topics. I was previously a researcher at the Getty Villa where I wrote about Ancient Greek math and at the Weizmann Institute, where I researched supernovae.

I currently live in New York City. I enjoy advising startups, thinking about how they can make for an excellent vehicle for addressing the Israeli-Palestinian conflict, and hearing from random folks who stumble on my LinkedIn profile. Reach out, friend!

+ Read More
SUMMARY

Discover the highs and lows of building a Retrieval Augmented Generation (RAG) system as we walk through the crucial challenges: data quality, query engines, and contextualization. Gain key insights into the pitfalls and best practices that can help you make informed decisions in your own projects.

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