Le Lézard
Classified in: Science and technology
Subject: Conference

Weights & Biases to Host Annual Fully Connected Conference in San Francisco


Weights & Biases, the AI developer platform, today announced it is hosting Fully Connected, the annual conference for the generative AI industry, on April 18 in San Francisco. Over 1,000 machine learning practitioners are expected to attend in person at the Marriott Marquis.

The one day event will cover the most important trends impacting machine learning practitioners today, featuring sessions on building and training LLMs, fine-tuning models, managing models in production, productionizing ML at scale, and deploying generative AI applications powered by LLMs. Weights & Biases Co-Founders will join speakers from NVIDIA, Meta, Microsoft, Siemens, Adobe, You.com, LlamaIndex, Lambda, and Together AI. Speakers will share a wide range of generative AI use cases across the automotive, creative, ecommerce, healthcare and life sciences, manufacturing, and technology industries.

Highlights of the conference include:

"Generative AI has moved to center stage as all industries look to harness its transformative capabilities," said Biewald. "Fully Connected represents an opportunity for the builders and the visionaries to share knowledge and advance the state of the art. Come join us for a full day of learning and connection."

Fully Connected is sponsored by leading investors and companies from across the generative AI ecosystem, including Coatue, Felicis, AWS, Google Cloud, Microsoft, NVIDIA, Anyscale, Run:AI, CoreWeave, Together AI, Modelbit, and Lambda. Check out the full agenda and sign up to attend at FullyConnected.com.

About Weights & Biases

Weights & Biases is the leading AI developer platform supporting end-to-end MLOps and LLMOps workflows. Used by over 30 foundation model builders and 1,000 companies to productionize machine learning at scale including teams at OpenAI, Toyota, and Microsoft, Weights & Biases is part of the new standard of best practices for machine learning.


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