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OR_on1396164625 |
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OCoLC |
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20231017213018.0 |
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m o c |
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vz czazuu |
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230905s2023 xx 038 o vleng d |
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|a ORMDA
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|e rda
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|d ORMDA
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024 |
8 |
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|a 08252023VIDEOPAIML
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035 |
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|a (OCoLC)1396164625
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037 |
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|a 08252023VIDEOPAIML
|b O'Reilly Media
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|a QA76.6
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|a 005.1
|2 23/eng/20230905
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|a UAMI
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245 |
0 |
0 |
|a Rust LLMOps course.
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250 |
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|a [First edition].
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264 |
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1 |
|a [Place of publication not identified] :
|b Pragmatic AI Solutions,
|c [2023]
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300 |
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|a 1 online resource (1 video file (38 min.)) :
|b sound, color.
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|a 003800
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336 |
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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344 |
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|a digital
|2 rdatr
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347 |
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|a video file
|2 rdaft
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380 |
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|a Instructional films
|2 lcgft
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490 |
1 |
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|a Rough draft
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511 |
0 |
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|a Noah Gift, presenter.
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500 |
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|a "Rough draft."
|
500 |
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|a "Pragmatic AI Labs course."
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520 |
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|a Rust LLMOps: A Rough Draft Course (Updated JIT) Learning During Live Coding This video series is a rough draft course being updated JIT (Just in Time) and covers the Rust language through live coding. We offer an iterative approach to understand and master the language, particularly focusing on its application in MLOps. Lessons Covered Include: Rust Hugging Face Candle Description This week, you will delve into the powerful combination of Rust with Candle, a minimalist ML framework, and explore how they can be used with Hugging Face's popular transformer models. You will apply these concepts by working on a series of hands-on labs that guide you through building, training, and deploying machine learning models using Rust, Candle, and Hugging Face. Learning Objectives By the end of this lesson, you will be able to: - Implement Candle in Rust to create and train machine learning models. - Utilize the various features of Candle, including syntax, GPU efficiency, and browser deployment. - Integrate Hugging Face transformers with Rust for natural language processing tasks. - Apply the principles of Rust and Candle to build real-world machine learning applications. - Evaluate the performance and scalability of Rust-based ML solutions using Candle and Hugging Face. Lesson Structure Original 4.1 Candle: A Minimalist ML Framework for Rust 4.2 Using GitHub Codespaces for GPU Inference with Rust Candle 4.3 VSCode Remote SSH development AWS Accelerated Compute 4.4 Building Hello World Candle 4.5 Exploring StarCoder: A State-of-the-Art LLM for Code 4.6 Using Whisper with Candle to Transcribe 4.7 Exploring Remote Dev Architectures on AWS.
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588 |
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|a Online resource; title from title details screen (O'Reilly, viewed September 05, 2023).
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Rust (Computer program language)
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650 |
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0 |
|a Computer programming.
|
655 |
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7 |
|a Instructional films.
|2 lcgft
|
655 |
|
7 |
|a Nonfiction films.
|2 lcgft
|
655 |
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7 |
|a Internet videos.
|2 lcgft
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700 |
1 |
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|a Gift, Noah,
|e presenter.
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710 |
2 |
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|a Pragmatic AI Solutions (Firm),
|e publisher.
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830 |
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0 |
|a Rough draft (Pragmatic AI Solutions (Firm)).
|
856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/08252023VIDEOPAIML/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|