Delve into the AI life cycle, the critical role of model and data development, and the need for AI applications to adapt to changing data and needs. This 2022 discussion provides timeless insights that can help guide your strategy. https://
youtube.com/watch?v=bSnRcn
ke9HI
…
@snorkelai
-
AI Lifecycle: Model Development and Data Adaptation Strategy
By
–
-
Data-Centric AI Panel: Oversight and Control Insights
By
–
Just two years ago, we had an enlightening discussion on the "Role of Data-Centric AI in Oversight and Control" with leading experts from academia, research, and industry. Watch the full panel discussion here: https://
youtube.com/watch?v=KJOjbk
4u42Y
… #datacentricai #airesearch #futureofai -
HELM Project Multi-Axis LLM Evaluation Research Discussion
By
–
With our research talk webinar with Dyah Adila on Friday, let's look back at a recent visit we had with Yifan Mai, lead maintainer of the HELM project at Stanford’s CRFM. Mai talked with our researchers about multi-axis LLM evaluation. Read more here:
-
ROBOSHOT: Optimizing Foundation Models Without Fine-Tuning
By
–
Coming up this Friday! PhD student Dyah Adila will explain how data scientists can get better performance out of foundation models without any additional fine-tuning. The technique, called ROBOSHOT, applies a kind of lens to model outputs Register now!
-
Contrastive Learning Deep Dive with Stanford AI Lab Experts
By
–
Revisiting this insightful discussion with Ananya Kumar from the Stanford AI Lab and Snorkel AI CEO Alex Ratner as they dive deep into the concept of Contrastive Learning Watch the full discussion here: https://
youtube.com/watch?v=NQH7Mo
FaleQ
… #StanfordAI #ContrastiveLearning #MachineLearning -
LIGER: Strengthening Weak Supervision with Foundation Model Embeddings
By
–
Ever wondered how to make weak supervision (ahem) stronger? You're in luck! Stanford PhD student Mayee Chen has been working diligently on a project called LIGER that combines weak supervision and foundation model embeddings,. https://
youtube.com/watch?v=rTpwOY
XUuCk
… #weaksupervision -
CEO Shares Insights on AI Terminology at Enterprise LLM Summit
By
–
Here's a throwback to our Enterprise LLM Summit from October—in which our CEO, Alex Ratner, offers some wisdom on the proliferation of new terms in AI.
— Snorkel AI (@SnorkelAI) 1 avril 2024
This whole Q&A session is worth a watch. You can see it here: https://t.co/jux1kaw28X pic.twitter.com/4M9AuT35YOHere's a throwback to our Enterprise LLM Summit from October—in which our CEO, Alex Ratner, offers some wisdom on the proliferation of new terms in AI. This whole Q&A session is worth a watch. You can see it here: https://
youtu.be/bpAlDw9sLLw -
Accelerating NLP Development in Healthcare with Snorkel AI
By
–
Looking to accelerate Natural Language Processing (NLP) in healthcare? Join Snorkel AI's Nazanin Makkinejad as she delves into how Fortune 500 healthcare and life science companies expedite NLP application development.
-
LinkedIn’s Sakshi Jain on Algorithmic Fairness in Machine Learning
By
–
LinkedIn's Sakshi Jain gave an enlightening talk on fairness in machine learning. If you missed it, visit the link below to learn how the AI team at LinkedIn isworks to improve algorithmic fairness.
-
Weak Supervision Scales NLP Beyond Rule-Based Systems
By
–
This insightful video, posted about a year ago, dives into how weak supervision scales beyond rule-based systems to tackle core NLP problems on over a petabyte of data. Watch. Learn. Let's continue to expand what's possible in tech.