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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

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Learn AI Together — Towards AI Community Newsletter #21

Towards AI

Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI. Proj3ctg and their team are looking for someone well-versed in AI, ML, Unity, Stable Diffusion, and control nets.

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Introducing ?YOLO-NAS: A New State-of-the-Art for Object Detection

Heartbeat

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! Both paths interconnect via cross-stage partial connections, which enables gradient flow. Innovation and academia go hand-in-hand. We pay our contributors, and we don’t sell ads.

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The Ultimate Guide to LLMs and NLP for Content Marketing

Heartbeat

Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact. The study of artificial intelligence (AI)’s Natural Language Processing (NLP) subfield is concerned with how computers and human language interact.

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Using Self-Critiquing Chains in LangChain

Heartbeat

He read books, attended seminars, and talked to experts in the field. He read books, attended seminars, and talked to experts in the field. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale. Supporting the operations of data scientists and ML engineers requires you to reduce—or eliminate—the engineering overhead of building, deploying, and maintaining high-performance models.

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Learn to Build — Towards AI Community Newsletter #1

Towards AI

Samyssmile is building EDUX, an open-source Java ML Library, and is looking for developers and testers. Meme shared by rucha8062 Upcoming Community Events The Learn AI Together Discord community hosts weekly AI seminars to help the community learn from industry experts, ask questions, and get a deeper insight into the latest research in AI.

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