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Weights & Biases
США
Добавлен 17 июл 2018
Weights & Biases helps AI developers build better models faster. Quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, and manage your ML workflows end-to-end.
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How Weights & Biases transformed Turnitin's ML workflow
In this video, Turnitin's Saurabh Cahndra shares how they transitioned from using spreadsheets to Weights and Biases for logging training runs while at Great Scope, now a part of Turnitin. Discover how this change has streamlined their machine learning projects. #MachineLearning #WeightsAndBiases #TechJourney #shorts #short
Просмотров: 437
Видео
Turnitin's Sumeet Singh and Saurabh Bipin Cahndra on partnering with Weights & Biases
Просмотров 8817 часов назад
Hear from Sumeet Singh, Distinguished ML Scientist and Saurabh Bipin Cahndra, Principal ML Scientist at Turnitin, as they discuss their deep learning models and the integration of AI in education. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* Sumeet and Saurabh explore various aspects of their work, including NLP, vision models, and AI writing detection....
The user interface of Weights & Biases: Why it’s crucial
Просмотров 239День назад
Discover how Weight & Biases enhances Together AI's ML workflow with its intuitive interface for comparing experiment runs and robust reporting features. #shorts #shorts #machinelearning #TogetherAI #WeightsAndBiases #MLTools #ExperimentTracking #DataScience #AIResearch #TechInnovation #UserInterface #MLExperiments #ProductivityTools
Together AI's Heejin Jeong on enhancing AI workflows with Weights & Biases
Просмотров 177День назад
Join Heejin Jeong, Principal AI Product Manager at Together AI, as she highlights the transformative features of Weights & Biases that have enhanced AI experimentation and communication. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* One standout feature is the user interface, which excels at comparing different experiment rounds, addressing the often cha...
Enhancing Mercari's collaboration with Weights & Biases
Просмотров 624 дня назад
See how Weights & Biases streamlines collaboration and development workflows, allowing engineers to easily share insights, prioritize projects, and scale machine learning models across multiple teams at Mercari. #shorts #short
Mercari's Teo Zosa on enhancing AI collaboration with Weights & Biases
Просмотров 1014 дня назад
Hear from Teo Zosa, Senior Machine Learning Engineer at Mercari, as he explains how Weights & Biases has revolutionized their collaboration and development workflows. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* By simplifying collaboration, engineers can now easily share graphs with project managers, allowing for automatic understanding and effective p...
Lambda Labs' David Hall on partnering with Weights & Biases
Просмотров 1075 дней назад
Hear from David Hall, VP of NVIDIA Solutions at Lambda Labs, as he discusses their innovative approach to delivering Infrastructure As A Service (IAAS) and platform solutions. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* Discover how Lambda Labs has mastered the delivery of scalable architecture based on NVIDIA's large iOS framework. By collaborating wi...
Centralized data tracking simplified
Просмотров 5876 дней назад
Discover how centralized data tracking streamlines collaboration, eliminating the need for constant updates and manual searches for the latest data versions and transformations. #shorts #short
Maryam Tabatabaeian on centralized data tracking with Weights & Biases at Cisco
Просмотров 1606 дней назад
Join Maryam Tabatabaeian, Sr. Data Scientist at Cisco, as she shares the transformative impact of Weights & Biases on data tracking and collaboration. Discover how a centralized approach revolutionized their workflow: *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* Topics covered include: - Addressing the need for centralized data tracking to avoid manual ...
How Weights & Biases transformed Snowflake's workflow
Просмотров 5227 дней назад
Learn how Weights & Biases revolutionized business operations at Snowflake, enabling engineers to run and track hundreds of experiments daily, and facilitating effective collaboration and real-time data analysis. #shorts
Vivek Raghunathan on supercharging AI at Snowflake with Weights & Biases
Просмотров 1537 дней назад
Hear Vivek Raghunathan's insights on how Weights & Biases has transformed AI experimentation and collaboration at Snowflake. With experience from Neva, Vivek shares the unique impact of this tool on Snowflake's AI projects. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_customers* *Key topics covered are:* - Smooth transition from Neva to Snowflake, integrating Weig...
Importance of AI strategy and infrastructure transformation
Просмотров 4948 дней назад
Ali Arsanjani, Director of AI / ML Partner Engineering at Google Cloud explores the critical need for companies to adopt a robust AI strategy and transform their underlying infrastructure to stay competitive in today's market. With the rise of Generative AI, businesses must prioritize evaluation and observability within their machine learning lifecycle. Discover how tools like Weights & Biases ...
Google Cloud's Ali Arsanjani on partnering with Weights & Biases
Просмотров 2638 дней назад
Hear from Ali Arsanjani, Director of AI/ML Partner Engineering at Google Cloud, as he shares insights into the powerful collaboration between Google Cloud and Weights & Biases. Ali discusses the critical role of evaluation and observability in the AI lifecycle and the mutual benefits of this strategic partnership. *Discover more from Weights & Biases' customers and partners at wandb.me/wb_custo...
Generating a dynamic Weights & Biases Ad with diffusion models
Просмотров 16811 дней назад
Discover how to utilize SDXL, AnimateDiff, and various interpolation techniques to produce animations. Create dynamic advertisement videos using diffusion models by following the code in our newest report. Follow the process and get your own ad created today. #shorts #sdxl #animatediff #wandb
This dude is awesome.
One issue in LLM for drug discovery is Heisenberg Uncertainty Principle. For example scRNA-seq generates big data, great for ML/LLM. But the data is unreal because you need to "disassociate" the cells to do the sequencing.
They done passed moral and ethical a long time ago.. they opened the gateway to hell
How os NLP deployed is it just a machine that speaks in brain waves?
12:09 the matrix X can be named transformation_matrix ?
How to use for normal ml task using sci-kit learn
I'm just starting this course, to anyone who has completed it; is it enough for me to get started with the actual machine learning content? Or will I need more math after this course?
amazing video!
INI SEMUA FITNAH KOMUNIS, DN IMAD ASAL MULA YG SDH DI DOKTRIN OKNUMNYA AKHIRNYA ,ORANG2 BANYAK YG DI KHASUD DI AJAK FITNAH DAJJAL. HATI2 ,ANAK BUAH DAJJAL SDH TURUN, MENYURUH ANAK BUAHNYA IBLISS LA'NATULLOH. INI SEMUA IRI DENGKI KHASUD ,TIMBULNYA MENCARI UMAT UNTUK SALING IKUT MEMBENCI INI PERBUATAN IBLISS, ORANG PD STRESS , MENGURUSI NASABNYA ORANG, BENAR2 GILA!!!!. AWAS PEMECAH BELAH UMAT ISLAM. PINTAR!! YG DI SURUH ORANG ISLAMNYA , YG DONGO, SEPERTI IMAAD CS. JEND HOSEN , PEMBANTAI PKI.DARI TH 1965.
ai analyzing all of human history would be amazing
ONE PIECE
Can this be run locally?
the one piece ☝️ ☝️ ☝️
ONE PIECE
THE ONE PIECE
I need chatGPT to explains what was being said here
Why only 20 sources per search ? Token limits?
Nice interview!
While LangChain's memory types seem primarily geared towards constructing optimal prompts, focusing on retrieving relevant information for the next step, I believe there's another avenue worth investigating. This involves modifying the model's internal world representation, potentially by adjusting weights or even its overall size. This approach could offer a means to constrain the large language model (LLM), potentially enhancing the believability of the simulation it generates. Do you have any references I could explore that delve into this concept further?
nice
watching this in 2024, some of these predictions are already happening!
i am the better nick bardy
why is mmlu still being used? it's broken
great episode
This is criminally underrated. This exercise is fun and definitely a refresher for the core concepts, imo!
So please at 40:10 , whose courses does he mention close to the end (implementation in math and code)
The Andrew Ng
www.coursera.org/specializations/machine-learning-introduction
thanks wandb!! looking forward to taking the course, but looks like the RUclips video playlist has the videos in reverse order.
Thanks Don, we have fixed the order. Glad you are enjoying the videos!
Thanks Joe Spisak
Great video, thank you
thankyou
Yeah this video was predated 2020 collective effort on Twitter of initial working AI model that went viral for free? Each year that goes by hierarchy madness gets worse and worse because the people unwittingly greedily allowed an anonymous donor of methodology to dethrone all hierarchy all at once meaning king of kinds. Sad pathetic depraved people roam this earth looking for guidance it's not that hard to make a splash. Due respects all hail the peoples king the rest of you infinity print is for biggest cover up ever lies begit lies your gonna end up going to war with your children you know that right straight impass they think your crazy you know their crazy becauseyou did it to them letting crazy people lead never filling you in all you ask for is guidance if anyonehas to rule.
My favorite programming language is English
The ocaml user is clearly janestreet
Great questions 👍
Where is the data going to come from ? There are strict hippa regulations especially in USA
thank you so much for your help. i was able to load my custom YOLOv5 model on windows and it works perfectly. Im extremely grateful to you!
Great discussion. Concrete and accessible.
lol he doesn't give a fuck and it's awesome
Good Session.
Very interesting. I think the media hype is moving faster than the progress of AI's.
Fake accent is irritating can't focus what she is speaking
This is how modern highly educated Indians speak , she is not faking her accent , go and check any Indian English news channels for reference
@@nagendrasrinivas-cj7sr They speak like yam, yan, Ohho, yas, I work with many and they speak shit.
Great Talk. Indeed insightful as well.
LLM-based coding assistants are especially nice to those of us who habitually over-comment. My preferred programming language is .... English!
breath of fresh air, great talk
a lot of times, we want to believe agents will not replace the coder jobs it WILL replace the "coder job" that fills up rows of cubicles at large companies coders that feed into large bureaucracies of self-important software maintenance teams writing the same database/web application the same way as the last decade I think the actual coder jobs (at the front edge of software) and the new AI-native coder jobs are the things we want to protect and conserve
Weave can let you turn your inference budget into reliable data. 100% WandB = model insights
Hi, this video is HELPFUL and RATED 5/5 by me. But I wonder can I use custom dataset instead of the pre-set dataset as shown?
yes
Nice session
Thank you very much for this tutorial. I was easily able to follow and implement all of the steps. I'm really grateful to you