Anupam Datta Profile
Anupam Datta

@datta_cs

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222

AI @SnowflakeDB , Ex- Co-Founder/President/Chief Scientist @truera_ai , Ex-Prof @CarnegieMellon , Visiting Prof & PhD CS @Stanford , BTech @IITKgp

Joined December 2014
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@datta_cs
Anupam Datta
1 year
Building LLM apps that chain LLMs with vector databases, agents and more? Playing with @LangChainAI @gpt_index + @OpenAI @huggingface LLMs + @pinecone DB? Try TruLens for LLMs -- the first open source library to evaluate and track your LLM experiments.
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@datta_cs
Anupam Datta
10 months
Stanford CS 329T: Trustworthy Machine Learning: Large Language Models and Applications -- a course I am teaching with John Mitchell (Stanford) and Ankur Taly (Google) started today! We will be putting a lot of content online. Check out the course page and stay tuned for more
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@datta_cs
Anupam Datta
7 years
Launching NSF project on accountable decision systems +Fredrikson @OleMengshoel @TomRistenpart @HNissenbaum Tschantz
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@datta_cs
Anupam Datta
6 years
Our paper examining potential legal liability for discriminatory online advertising now being presented #FAT2018
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@datta_cs
Anupam Datta
8 months
Join 3000+ participants in the TruEra Challenge -- build, evaluate, improve your LLM apps with @Google Vertex AI, @truera_ai / @TruLensML , as well as tools from partners @llama_index and @zilliz_universe . Hosted by @lablabai Join us for 3 hands-on workshops, learn, build,
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@datta_cs
Anupam Datta
7 years
Happy to be a part of the steering committee! Tremendously important problems.
@FAccTConference
ACM FAccT
7 years
See you in February at the first Conference on Fairness, Accountability, and Transparency*. #FATML #kdd2017
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@datta_cs
Anupam Datta
1 year
CMU colleagues @Mmffmmffdd @zicokolter and my former PhD student Zifan Wang have created automated safety attacks on open source LLM chatbots that surprisingly transfer also to closed source chatbots -- ChatGPT, Bard, Claude.
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@datta_cs
Anupam Datta
8 years
CFAA impedes research on detecting algorithmic discrimination
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@datta_cs
Anupam Datta
10 months
AGI House Build/Break/Test LLM Apps Hackathon with TruEra/TruLens and partners @llama_index & @pinecone on Oct 7, 12-10pm. @jerryjliu0 @shayaksen @_jreini @Yuvnesh Join us for this exciting and unconventional hackathon with key players in the emerging LLMOps tech stack!
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@datta_cs
Anupam Datta
11 months
Timely event on Responsible and Open Foundation Models. Looking forward to it! @random_walker @percyliang @sayashk @RishiBommasani
@sayashk
Sayash Kapoor @ICML
11 months
Open foundation models are playing a key role in the AI ecosystem. On September 21, @RishiBommasani @percyliang @random_walker and I are organizing an online workshop on their responsible development. Hear from experts in CS, tech policy, and OSS. RSVP:
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@datta_cs
Anupam Datta
1 year
7/27: Live at the Midway, SF -- join @jerryjliu0 , @shayaksen and me for a hands-on workshop on building and evaluating LLM apps -- RAGs, Data Agents and more -- with open source tools @llamaindex + @TruLensML ! Let's build the future responsibly. #LLMs
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@datta_cs
Anupam Datta
11 months
@natfriedman ..and perhaps RLAIF-ed too in the not too distant future
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@datta_cs
Anupam Datta
3 years
Live now! Our #aaai2021 tutorial: From Explainability to Model Quality and Back on the deep connections between AI Explainability & Model Quality attributes -- fairness, privacy, accuracy, and more #aiexplained #responsibleai #trustworthyai #machinelearning #ai
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@datta_cs
Anupam Datta
10 months
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@datta_cs
Anupam Datta
3 years
Excited to chair the National Academies workshop today on Trustworthy AI. Expect an insightful, actionable discussion with distinguished panelists and organizing committee. @DMulliganUCB @aleks_madry @benbendc @susan_dumais J Wing, DJ Dvijotham
@theNASEM
National Academies
3 years
Don't miss our workshop starting tomorrow on how we can design trustworthy #AI systems for use in finance, transportation, and health! Hear from experts including Facebook’s @jquinonero , FDA’s @_bakulpatel and UPenn’s @mkearnsupenn . Register here:
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@datta_cs
Anupam Datta
9 months
Tremendous energy at the @agihouse_org hackathon last weekend organized by @truera_ai , @TruLensML ! 30+ teams built, broke, & tested #LLMapps in a whole new hackathon format! Thanks to @pinecone , @llama_index & @anyscalecompute for co-sponsoring! Here's one winner - the
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@datta_cs
Anupam Datta
1 year
Easily build data agents with @llama_index + evaluate with @TruLensML . Check out the notebook to get started. @jerryjliu0 #LLMs #testing
@jerryjliu0
Jerry Liu
1 year
Properly evaluating agents is an under-explored problem - what are the key tests you should run on inputs/outputs? 🧪🤖 Check out this brand-new notebook that helps to explore that on our @llama_index Yelp agent! 🧑‍🍳 Huge s/o to the @truera_ai team:
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@datta_cs
Anupam Datta
11 months
@ylecun Cool, @ylecun . @CarnegieMellon has had related Interdisciplinary efforts, including the Center for Automated Learning and Discovery from 1997 that became Machine Learning Department in 2006. Not identical in that it's a department within the School of CS but many affiliated
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@datta_cs
Anupam Datta
3 years
trulens is out! join the slack community, go play with it!
@truera_ai
TruEra
3 years
Today is the launch of TruLens, a new open source library providing explainability for neural network and deep learning machine learning models. Works with #PyTorch , #TensorFlow , and #Keras models. Check it out here: #ML #AI #neuralnetworks #deeplearning
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@datta_cs
Anupam Datta
6 years
Upcoming event on Privacy as Contextual Integrity
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@datta_cs
Anupam Datta
11 months
Excellent @bloomreach_tm event in Napa Valley with @nvidia @bloomreach_tm @truera_ai participants on this GenAI panel.
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@datta_cs
Anupam Datta
8 years
@el33th4xor @nc2y @nlaout Our algorithmic transparency paper is about explaining ML decisions
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@datta_cs
Anupam Datta
7 years
Microsoft Research Head Jeannette Wing to Lead Columbia’s Data Science Institute | Columbia News
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@datta_cs
Anupam Datta
7 months
On the importance of evals for GenAI apps.
@gdb
Greg Brockman
7 months
evals are surprisingly often all you need
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@datta_cs
Anupam Datta
1 year
@aaref Great kickoff event, @aaref and @rak_garg ! Excellent ideas, early products, energy around #LLMs and #GenerativeAI -- infra, apps, eval and more.
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@datta_cs
Anupam Datta
10 months
Exciting new paper on a "small" text completion model (~1.3B) from the "Textbooks are all you need" team at @MSFTResearch . Take a read!
@peteratmsr
Peter Lee
10 months
A new LLM, called phi-1.5, released today by @SebastienBubeck and his team @MSFTResearch . Released as open source to support open research on AI foundations, transparency, and safety, this model does text completion with quality that compares favorably to much larger LLMs.
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@datta_cs
Anupam Datta
11 months
A couple of interesting recent papers are making progress toward significantly smaller LLMs for tasks like writing and coding. Perhaps the data gap between training LLMs and learning for children can be bridged over time @mcxfrank via: @karpathy , @SebastienBubeck , @EldanRonen
@karpathy
Andrej Karpathy
1 year
"Textbooks Are All You Need" is making rounds: reminding me of my earlier tweet :). TinyStories is also an inspiring read: We'll probably see a lot more creative "scaling down" work: prioritizing data quality and diversity over
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@datta_cs
Anupam Datta
8 years
HSCC 2017 (at Pittsburgh) calls for papers in security and privacy in cyberphysical systems @Mitrasayn #CPSWeek
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@datta_cs
Anupam Datta
7 years
On way to Algorithms and Explanations @NYU
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@datta_cs
Anupam Datta
11 months
Pleasure joining @AzitaMartin (VP and GM for AI in Retail & more, NVIDIA), Xun Wang (CTO, Bloomreach), and Christina Augustine (COO, Bloomreach) on a panel on Generative AI in Retail aptly named "No Limits". Key takeaways: 1/n
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@datta_cs
Anupam Datta
1 year
Test and debug your ML models with the free @truera_ai SaaS Diagnostics product. Just launched. Sign up:
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@datta_cs
Anupam Datta
9 years
FAQ on CMU-ICSI study on Discrimination and Opacity in Online Behavioral Advertising: http://t.co/TGQQ5zeals
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@datta_cs
Anupam Datta
2 years
Great talk by @chesharma87 on the important role of experimentation to inform Trustworthy decisions across product and marketing! #DataCouncilAI
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@datta_cs
Anupam Datta
7 years
Interesting first day at Leadership in Science Policy Institute
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@datta_cs
Anupam Datta
7 years
The business of AI
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@datta_cs
Anupam Datta
11 months
@ashishgoel Amazing! Congratulations!
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@datta_cs
Anupam Datta
8 years
@random_walker @aylin_cim excellent work on bias in natural language #FATML #fatml2016
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@datta_cs
Anupam Datta
7 years
Fireside chat with @DaphneKoller starting soon @cmusv #kollercmusv
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@datta_cs
Anupam Datta
8 years
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@datta_cs
Anupam Datta
6 years
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@datta_cs
Anupam Datta
2 years
Insightful keynote by @pwang at @DataCouncilAI ! Key takeaway as data science adoption grows in Enterprise: enable exploration & innovation by data scientists with guardrails to mitigate risk and enable adoption by mlops at scale in production #DataScience #MLOps #DataCouncilAI
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@datta_cs
Anupam Datta
8 years
Facebook Will Stop Some Ads From Targeting Users by Race
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@datta_cs
Anupam Datta
9 months
Reflections on GenAI, operationalizing AI, and the role of education from a week in Europe: I spent the last week speaking at and hanging out with a few thousand startups, SMBs, and enterprises at @WorldSummitAI in Amsterdam, having in-depth technical conversations with leaders
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@datta_cs
Anupam Datta
3 years
My blog post on AI Quality attributes that are critical for AI to generalize well, respect societal expectations of transparency and fairness, and sustainably deliver business value throughout its lifecycle. Important for every data science and MLOps team.
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@datta_cs
Anupam Datta
7 years
@geomblog @ginasue @mathbabedotorg That said, going from basic research to impact on practice does present a number of hurdles -- access to high impact algorithmic systems is one; incentives for organizations to adopt accountability technologies is another. Some of those points in the article make sense. 2/2
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@datta_cs
Anupam Datta
7 years
Opinion: Courts are using AI to sentence criminals. That must stop now via @WIRED
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@datta_cs
Anupam Datta
8 years
@geomblog I respectfully disagree. Measuring indirect or proxy influence involves a combination of association and causality. #FATML
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@datta_cs
Anupam Datta
5 years
@nc2y Well-deserved!
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@datta_cs
Anupam Datta
1 year
@RamaswmySridhar @Neeva All best for the next phase of the @Neeva journey @RamaswamySridhar
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@datta_cs
Anupam Datta
1 year
Evaluate and track your LLM @llama_index apps with the open source TruLens for LLMs library.
@llama_index
LlamaIndex 🦙
1 year
Proper evals are important when setting up a complex retrieval-augmented system: - Overall App I/O - LLM I/O - Retrieved context calls - Latency - Token counts We show how you can eval all these RAG components when using LlamaIndex with @truera_ai ! 🧪
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@datta_cs
Anupam Datta
7 years
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@datta_cs
Anupam Datta
11 months
4/n 3. There are significant concerns around hallucinations in generative use cases in retail and an ask for better LLM app evaluations. We are seeing some promising results on evaluations as we build on our open source @TruLensML library to work with a number of companies.
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@datta_cs
Anupam Datta
3 years
@ashipra congratulations!
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@datta_cs
Anupam Datta
2 years
Tooling to enable systematic testing and monitoring of AI Quality (data quality, model performance, societal impact indicators such as fairness and privacy) is a key part of the solution.
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@datta_cs
Anupam Datta
7 years
The dearth of data markets raise questions about antitrust, privacy and social equality.
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@datta_cs
Anupam Datta
7 years
@geomblog @ginasue @mathbabedotorg includes faculty from CMU, Cornell, ICSI. This area is growing in academia, including tenure-track and tenured faculty participation. So, difficult to accept the claim that academia is asleep. 1/2
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@datta_cs
Anupam Datta
9 years
Algorithmic discrimination at FTC PrivacyCon tomorrow
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@datta_cs
Anupam Datta
8 years
On Bias by Computer
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@datta_cs
Anupam Datta
7 years
Looking forward to the conversation on accountable decision systems and more...
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@datta_cs
Anupam Datta
8 years
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@datta_cs
Anupam Datta
6 years
Explaining AI @TheEconomist
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