The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161 - Info and Reading Options
By MLOps.community
“The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” Metadata:
- Title: ➤ The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161
- Author: MLOps.community
Edition Identifiers:
- Internet Archive ID: ➤ msbngmhhv4fiam8ibnrtt7obeoiulmtzo3su3o5b
AI-generated Review of “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161”:
"The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161" Description:
The Internet Archive:
<p>MLOps Coffee Sessions #161 with Tuhin Srivastava, The Long Tail of ML Deployment co-hosted by Abi Aryan. This episode is brought to you by QuantumBlack.// AbstractBaseten is an engineer-first platform designed to alleviate the engineering burden for machine learning and data engineers. Tuhin&#39;s perspective, based on research with Stanford students, emphasizes the importance of engineers embracing the engineering aspects and considering them from a reproductive perspective.// BioTuhin Srivastava is the co-founder and CEO of Baseten. Tuhin has spent the better part of the last decade building machine learning-powered products and is currently working on empowering engineers to build production-grade services with machine learning.// MLOps Jobs board https://mlops.pallet.xyz/jobs// MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related LinksQuantumBlack: https://www.mckinsey.com/capabilities/quantumblack/contact-us</p><p>Baseten: https://www.baseten.co/Baseten Careers: https://www.baseten.co/careers--------------- ✌️Connect With Us ✌️ -------------Join our slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Abi on LinkedIn: https://www.linkedin.com/in/goabiaryan/Connect with Tuhin on LinkedIn: https://www.linkedin.com/in/tuhin-srivastava-60601114/Timestamps:[00:00] Partnership with QuantumBlack[00:16] Nayur Khan presenting QuantumBlack[03:35] QuantumBlack is hiring![03:47] Tuhin&#39;s preferred coffee[05:03] Takeaways[07:00] Please share this episode with a friend![07:12] Comments/Reviews[08:49] Tuhin&#39;s background[10:13] Finance and Law common complaint culture [11:40] Doing Machine Learning in 2010 - 2011[14:31] Gum broad or the next company shape?[16:33] Engineers need to learn machine learning[20:18] Software engineers need to dig deeper[24:49] Cambrian Explosion[27:53] The Holy Trifecta[28:54] Objective truth and prompting[31:23] Limitations of LLMs[35:37] Documentation challenges[38:25] Baseten creating valuable models[40:37] Advocate for Microservices or API-based solution [42:54] Learning Git pains[44:16] Baseten back ups[48:00] Baseten is hiring![49:32] Wrap up</p>
Read “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161”:
Read “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” by choosing from the options below.
Available Downloads for “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161”:
"The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161" is available for download from The Internet Archive in "audio" format, the size of the file-s is: 47.19 Mbs, and the file-s went public at Fri Jul 28 2023.
Legal and Safety Notes
Copyright Disclaimer and Liability Limitation:
A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.
B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.
C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.
D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.
E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.
Virus Scanning for Your Peace of Mind:
The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:
How to scan a direct download link for viruses:
- 1- Copy the direct link to the file you want to download (don’t open it yet). (a free online tool) and paste the direct link into the provided field to start the scan.
- 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
- 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
- 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.
Available Downloads
- Source: Internet Archive
- All Files are Available: No
- Number of Files: 8
- Number of Available Files: 4
- Added Date: 2023-07-28 15:10:54
- Scanner: Internet Archive Python library 1.9.6
Some files are not available for download:
This maybe due to copyright restrictions, still, the book online borrowing may be available at the Internet Archive.
Available Files:
1- Item Tile
- File origin: original
- File Format: Item Tile
- File Size: 0.00 Mbs
- File Name: __ia_thumb.jpg
- Direct Link: Click here
2- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: msbngmhhv4fiam8ibnrtt7obeoiulmtzo3su3o5b_files.xml
- Direct Link: Click here
3- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: msbngmhhv4fiam8ibnrtt7obeoiulmtzo3su3o5b_meta.sqlite
- Direct Link: Click here
4- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: msbngmhhv4fiam8ibnrtt7obeoiulmtzo3su3o5b_meta.xml
- Direct Link: Click here
Search for “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” in Libraries Near You:
Read or borrow “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” at a library near you.
Buy “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” online:
Shop for “The Long Tail Of ML Deployment // Tuhin Srivastava // MLOps Podcast #161” on popular online marketplaces.
- Ebay: New and used books.