Artificial Intelligence Related Topics 
TechEmpower SaaS
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
Tom Tunguz
MARCH 19, 2023
” That’s the conclusion from OpenAI’s recent paper “ GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models. ” How much might US GDP grow assuming large-language models enable US workers to do more? The BEA estimates US GDP is $26.2t.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
SaaStr
MAY 19, 2020
One area to watch here is no doubt artificial intelligence, with numerous companies having taken it upon themselves to apply machine learning and deep learning to give themselves an edge in the industry. Challenge #1: How can I acquire data in order to train my health product’s machine learning model?
Tom Tunguz
JUNE 5, 2023
Training, deploying, & optimizing machine learning models has historically required teams of dedicated researchers, production engineers, data collection & labeling teams. Even fully staffed, teams required years to develop models with reasonably accurate performance. Today, it’s a matter of days or weeks.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Tom Tunguz
OCTOBER 6, 2023
Over the last few weeks I’ve been experimenting with chaining together large language models. Bad data from the transcription -> inaccurate prompt to the LLM -> incorrect output. Tn machine learning systems, achieving an 80% solution is pretty rapid. I dictate emails & blog posts often.
Tom Tunguz
DECEMBER 10, 2023
The future of LLM evaluations resembles software testing more than benchmarks. Real-world testing looks like this , asking LLMs to produce Dad jokes like this zinger : I’m reading a book about gravity & it’s impossible to put down. LLMs are tricky. 1 can be greater than 4. This is called non-determinism.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Advertiser: Data Robot
But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA?
Advertiser: Data Robot
Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds.
Expert insights. Personalized for you.
519 
Let's personalize your content