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Don Woodlock
Don Woodlock
Don Woodlock
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AI & machine learning is transforming every industry, including healthcare.

Join me in my video series “Code to Care” as I explore how AI is shaping the future of medicine and patient care. I discuss how this technology works, its use cases, and the ethics + safety concerns of the tools.

This new technology shows a lot of promise, but it needs to be carefully understood and tested before healthcare systems roll it out at scale. There is a balance between AI’s potential and responsibility in patient settings.

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ABOUT INTERSYSTEMS

Established in 1978, InterSystems Corporation is the leading provider of data technology for extremely critical data in healthcare, finance, and logistics. It’s cloud-first data platforms solve interoperability, speed, and scalability problems for large organizations around the globe.

InterSystems Corporation is ranked by Gartner, KLAs, Forrester and other industry analysts as the global leader in Data Access and Interoperability.
How to avoid bias in Machine Learning
14:46
3 месяца назад
What is RAG? (Retrieval Augmented Generation)
11:37
4 месяца назад
Risks of Integrating Gen AI with Patient Data
10:58
4 месяца назад
How to Use AI for Patient Portals
11:28
4 месяца назад
Different types of AI
8:02
4 месяца назад
Integrity Check at InterSystems Global Summit 2023
1:44:03
11 месяцев назад
Комментарии
@AhmedSherif-zh4zs
@AhmedSherif-zh4zs 5 часов назад
Extremely good and simple to understand. This is my first comment to share from ages
@mehrdadzarghami1599
@mehrdadzarghami1599 12 часов назад
What a nice and smooth explanation. Thanks Don
@jehnzcode
@jehnzcode 22 часа назад
👏 new subscriber here
@user-pf7sw4ey1u
@user-pf7sw4ey1u 23 часа назад
Thank you sooo much for all the amazing content!
@leoniaklebanov2502
@leoniaklebanov2502 8 дней назад
Awesome explanation, with real-time example
@srleb3462
@srleb3462 9 дней назад
Thanks fir great explanation
@MWileY-nj1yb
@MWileY-nj1yb 10 дней назад
I appreciate you immensely! Awesome concise clear information. I really hope you continue to make available content like this.
@SantK1208
@SantK1208 11 дней назад
You made my demo remarkable, I explained my audience easily ❤❤❤❤❤❤
@SantK1208
@SantK1208 11 дней назад
Awesome , Thanks ❤
@ShikhaSheth-pk1us
@ShikhaSheth-pk1us 11 дней назад
Real good one!
@user-ob6cs4jb5z
@user-ob6cs4jb5z 13 дней назад
Gag is rag that is "Gondom Food" the Bebe Hawa gave Hrad Adom
@davutengin
@davutengin 14 дней назад
Best RAG explanation I think. Thanks.
@MalikHamid-ye8zb
@MalikHamid-ye8zb 14 дней назад
Thanks DON! for this outstanding use case of the GENAI. Kindly make more videos on Gen AI applications in different domains as well. Make playlist about use cases of Neural Networks(DL), ML, CNN, RAGS, Transformers also. You way of teaching enables me to think in a critical way! Thanks for making more videos relating to use cases.
@nexai_official
@nexai_official 15 дней назад
Thank you Don! The explanation was delightful <333
@manservice3211
@manservice3211 16 дней назад
Hello Sir! Could you make videos on: what’s a transformer and what’s Langchain? Also videos on how to check the accuracy of gen AI use cases like summarizing, extracting features, etc would be very helpful. Thank you very much for your time.
@Sanu-pl8is
@Sanu-pl8is 17 дней назад
How can we use a csv file with multiple fields as the prompt may require to evaluate all fields and answer the best one.
@annadehek6533
@annadehek6533 17 дней назад
such a good explanation, thank you so much!!
@divyabhasin1379
@divyabhasin1379 17 дней назад
Great video very well explained. Do you also have a video on how to download a website into a CSV?
@Tessi42
@Tessi42 18 дней назад
Wow, Thank You
@Tessi42
@Tessi42 18 дней назад
Thank you very much for this great presentation. Tomorrow I will use this video to describe in a few minutes to the decision-makers in my company what this RAG means. Many simply do not yet understand the simplicity behind the pattern and therefore the possibilities I find it difficult to present it in such simplicity Thank you very much🙂
@NavidBarati
@NavidBarati 19 дней назад
This was by far the most useful video I have seen in a while on AI topic, well done everybody
@dbosedxc
@dbosedxc 20 дней назад
Unbelievable content. Couldn't have been any simpler than this. Thank you so much.
@computingcoding799
@computingcoding799 21 день назад
Awesome video! It helped explain the concept a great deal. well done👍
@yogeshsuryamurthy5939
@yogeshsuryamurthy5939 22 дня назад
Thanks Don, it's very useful and an out-of-the-box use case. What do you think about extending this to ED triage categorization and assisting providers by presenting a care plan (or protocol) based on the patient's medical history and current diagnosis?
@adeniyiajani7617
@adeniyiajani7617 23 дня назад
I like the video which software did you use. Well done sir
@rajmeets9303
@rajmeets9303 23 дня назад
Wow! Wonderful session. I loved the simplicity of explaining RAG. Thanks a lot Don.
@endourology
@endourology 25 дней назад
I finally understood what RAG is, including the vector part. Great!
@amnguyenduyan1426
@amnguyenduyan1426 26 дней назад
Amazing video, save me ton of days to study. Thank you very much Mr. Don
@dharmakelleherauthor
@dharmakelleherauthor 27 дней назад
Thank you so much! This is a great, easy-to-follow explanation. Coincidentally, I'm having knee surgery tomorrow. LOL.
@aanyaaryancoolgamers2013
@aanyaaryancoolgamers2013 27 дней назад
Great video! where can I get the code used in the video?
@gt6808a
@gt6808a 27 дней назад
This has been the most helpful video I've found to help me understand how RAG works. Thank you so much for your wonderful explanation!
@sjmediaonline
@sjmediaonline 28 дней назад
Great video! Could you please do one video on RAG with knowledge graph? Thanks!
@asheeshmathur
@asheeshmathur 28 дней назад
Excellent, made so simple.😃
@califfa2419
@califfa2419 29 дней назад
what a great explanation of RAG! Thank you
@vaidyanathtdakshinamurthy8732
@vaidyanathtdakshinamurthy8732 29 дней назад
Hello Don Sir, thanks for this explanation. You're a blessed master craftsman. Simple and precise description and to the point.
@tatuldanielyan9943
@tatuldanielyan9943 Месяц назад
Thank you
@paultoensing3126
@paultoensing3126 Месяц назад
What is concatenate?
@paultoensing3126
@paultoensing3126 Месяц назад
So what is df?
@agusriyadi6802
@agusriyadi6802 23 дня назад
Distance Formula I think
@mzimmerman1988
@mzimmerman1988 Месяц назад
helpful! thanks.
@mzimmerman1988
@mzimmerman1988 Месяц назад
well done! thanks.
@nking99t
@nking99t Месяц назад
one sentence summary: the data input(your own content) for gpt
@MateoGarcia-rt7xt
@MateoGarcia-rt7xt Месяц назад
Thanks for this great explanation, Don!
@jdcage
@jdcage Месяц назад
Great video! How did you get the content of the website? I am working on a similar project, and most of my effort seems to be scraping pages.
@JamesNguyen-lt5bc
@JamesNguyen-lt5bc Месяц назад
awesome explanation. Thank you
@sanjaysitaramsoni
@sanjaysitaramsoni Месяц назад
I really fall in love with RAG, I am a Master student and I want to do some research on RAG for my upcoming Thesis Project. Can I have some suggestion from you ? articles or publications ? Thanks for this video
@mtb_carolina
@mtb_carolina Месяц назад
Let me ask...do you have any methodologies to keep the chunks from the internal database private for the rag recall with the LLM if those internal databases that the RAG system is pulling from are confidential? I've been grappling with this...any insights will be much appreciated. Thank you!
@Themojii
@Themojii Месяц назад
Hi Don, thank you for the great video. It would be great if you could share the notebook codes 😊
@govindarajram8553
@govindarajram8553 Месяц назад
It's so good to see a good demo, please put more videos, I would specifically looking for RDMS database to vector database to store embeddings so my user can use AI
@MohitGupta-cz9ok
@MohitGupta-cz9ok Месяц назад
Thanks, after watching your video I got clear understanding how we can implement RAG.
@govindarajram8553
@govindarajram8553 Месяц назад
Just I watched from youtube suggestions and you me good explanations on Retrieval augmented generation closure to my use case. Thank you