Rehan Ahmed, PhD

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Rehan Ahmed, PhD

Rehan Ahmed, PhD

@_rehan_a

Research Scientist @ Center for Advanced AI, Accenture. Gamer, Cruciverbalist, Biryani cooker. @BoulderNLP alum. ex-intern @explosion_ai. @IITHyderabad alum

Sunnyvale, CA Katılım Nisan 2012
356 Takip Edilen286 Takipçiler
Rehan Ahmed, PhD retweetledi
Anthropic
Anthropic@AnthropicAI·
We’re expanding our partnership with @Accenture to help enterprises move from AI pilots to production. The Accenture Anthropic Business Group will include 30,000 professionals trained on Claude, and a product to help CIOs scale Claude Code. Read more: anthropic.com/news/anthropic…
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Yu Zhang
Yu Zhang@yuz9yuz·
Excited to share our survey "Adaptation of Agentic AI" (led by @patpcj & @jclin808) unifying the rapidly growing landscape of agent adaptation (tool-execution- vs. agent-output-signaled) & tool adaptation (agent-agnostic vs. agent-supervised)! Preprint: github.com/pat-jj/Awesome…
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Lj Flores
Lj Flores@ljyflores38·
🤔 How reliable are LLMs/LLM-based agents on industry related tasks? 👨‍💼This summer at @adobe, we tried using LLMs to help marketers with audience segmentation! This previously takes hours/days of manual work, since studying datasets with thousands of columns is tough 🧵Thread:
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Phil Eaton
Phil Eaton@eatonphil·
Great paper on how Google runs a commercial research lab, courtesy of Ankush Menat. Would love to read more like this particularly from young and actively growing companies (i.e. don't send me Oracle or Bell Labs).
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Buitengebieden
Buitengebieden@buitengebieden·
Working from home.. 😅
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Ai2
Ai2@allen_ai·
Can AI really help with literature reviews? 🧐 Meet Ai2 ScholarQA, an experimental solution that allows you to ask questions that require multiple scientific papers to answer. It gives more in-depth, detailed, and contextual answers with table comparisons, expandable sections for subtopics, and citations with paper excerpts for verification 💡 Try Ai2 ScholarQA now: scholarqa.allen.ai More in 🧵
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Rehan Ahmed, PhD retweetledi
Ethan Mollick
Ethan Mollick@emollick·
New randomized, controlled trial of students using GPT-4 as a tutor in Nigeria. 6 weeks of after-school AI tutoring = 2 years of typical learning gains, outperforming 80% of other educational interventions. And it helped all students, especially girls who were initially behind
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spor
spor@sporadica·
This paper from DeepMind is blowing my mind: “Our findings reveal that models fine-tuned on weaker & cheaper generated data consistently outperform those trained on stronger & more-expensive generated data across multiple benchmarks…”
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Boulder NLP
Boulder NLP@BoulderNLP·
📢 Check out the lineup of papers our students will be showcasing at #EMNLP2024 in Miami next week! 🌴We'll be presenting new work on morphology, Q&A, and narratives.🔍
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Michael Zhang
Michael Zhang@mjqzhang·
Why and when do preference annotators disagree? And how do reward models + LLM-as-Judge evaluators handle disagreements? We explore both these questions in a ✨new preprint✨ from my @allen_ai internship! [1/6]
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Chantal
Chantal@ChantalShaib·
There's a general feeling that AI-written text is repetitive. But this repetition goes beyond phrases like "delve into"! We can actually characterize repetition at a structural level using syntactic templates... 🧵 arxiv.org/abs/2407.00211
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Toomas Hinnosaar@toomash

ChatGPT annoyingly tries to insert "delve into" in every paragraph! I am immediately suspicious when I see students' work with this term. Are there any other tell-tale phrases? Here is the Google Trends graph for "delve into":

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Jim Fan
Jim Fan@DrJimFan·
Hitchhiker's guide to rebranding: - Machine learning -> statistical mechanics - Loss function -> energy functional - Optimize the model -> minimize free energy - Trained model -> reached equilibrium distribution - KL divergence -> free energy difference - Gaussian noise -> random thermal fluctuations - Random step -> Brownian motion - SGD -> directional Brownian motion - GPU -> simulated particle accelerator - Diffusion models -> Langevin dynamics - Reinforcement learning -> control theory - Robotics -> physical computation - Audio learning -> 1D signal processing - Image learning -> 2D signal processing - Video learning -> 3D signal processing - Multimodal models -> multidimensional signal processing - Sora -> learned physics engine You're welcome
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Itai Yanai
Itai Yanai@ItaiYanai·
Doing good science is 90% finding a science buddy to constantly talk to about the project.
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