Glad to be part of this great collaborative effort 😊
12.12.2024 18:00 — 👍 1 🔁 1 💬 0 📌 0
AgentLab diagram.
The image describes AgentLab, a framework for efficient parallel experiments with agents. It highlights:
Core Agent Features:
Dynamic Prompting and a Unified LLM API for interacting with large language models.
BrowserGym Platform:
A tool for testing agents on benchmarks like WebArena, WorkArena, MiniWoB, and others.
Key Features:
Reproducibility, a Unified Leaderboard, an analysis tool called Xray, and a Dataset for sharing agent traces.
Blue elements represent AgentLab components.
🧵-1
We are thrilled to release #AgentLab, a new open-source package for developing and evaluating web agents. This builds on the new #BrowserGym package which supports 10 different benchmarks, including #WebArena.
03.12.2024 21:02 — 👍 18 🔁 15 💬 2 📌 0
Research Scientist at ServiceNow
Gradient-descent enthusiast building LLM agents.
Formerly Mila, Deepmind, Amazon, ElemenAI, Spotify
Passionate about AI and its impact on society • VP, Research, ServiceNow • Associate industrial member, Mila • Adjunct professor, Polytechnique Montréal • Co-Founder, Imagia & Element AI
#NLP Postdoc at Mila - Quebec AI Institute and McGill University | Former PhD @ University of Copenhagen (CopeNLU)
🌐 karstanczak.github.io
Ph.D. student of @XLangNLP lab and @HKUniversity NLP group 2022. Advised by @taoyds and @ikekong. 🤝 @SFResearch @Alibaba_Qwen
Assist. Prof.@OhioState, co-director OSU NLP. I like to think about intelligence and manifest it into language agents
Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Ph.D. Student at UNC NLP | Apple Scholar in AI/ML Ph.D. Fellowship | Prev: FAIR at Meta, AI2, Adobe (Intern) | Interests: #NLP, #ML | https://archiki.github.io/
Assistant Professor at CSD CMU. https://www.cs.cmu.edu/~aditirag/
Assistant Professor at UW and Staff Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
NLP at Tel Aviv Uni and Google DeepMind
Research Scientist @allen_ai & Affiliate Assistant Prof @UW; Researching on LLM alignment, eval, synthetic data, reasoning, agent. Ex: Google, Meta FAIR;
Multimodal web agents @ Meta GenAI. On leave from ML PhD at CMU.
Associate professor at CMU, studying natural language processing and machine learning. Co-founder All Hands AI
Assistant prof at LTI CMU; Research scientist at Meta AI. Working on NLP: language interfaces, applied pragmatics, language-to-code, grounding. https://dpfried.github.io/
Curious about human ways of thinking.
🎓️ Researcher and teacher at Charles University, Prague.
👉️ https://kasnerz.github.io
Assistant Professor @Mila-Quebec.bsky.social
Co-Director @McGill-NLP.bsky.social
Researcher @ServiceNow.bsky.social
Alumni: @StanfordNLP.bsky.social, EdinburghNLP
Natural Language Processor #NLProc
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Research Scientist at Google DeepMind. Mostly work on ML, NLP, and BioML. Based in Seattle.
http://ptshaw.com
Final year PhD Student in Computer Science @Stanford
Work on:
- Compositionality, syntax (language structure)
- Web Agents: Synthetic data, tree search, exploration (language interpretation)
