Tensor Beat

News, tutorials, cheat sheets, and research papers for #MachineLearning / #DeepLearning, #RPA, and #AI experts. Curated by @altoros. | #TensorFlow

[Alex Khizhniak @alxkh]

A guide to #PromptEngineering for #ChatGPT (including #CodeGeneration):

https://t.co/HSdGnwGuqD

This article explains #HowTo create the prompts used in large language models (#LLMs) like #GPT3/#GPT4.

#GenerativeAI #Productivity #Engineering #AI

[Dion Hinchcliffe @dhinchcliffe]

New #opensource large language model announced by @StabilityAI

https://t.co/bK34fNxb7f

Trained on #thePile, the new #StableLM #LLM is designed to make #AI tools more accessible. 3B + 7B parameters available, 15B + 65B coming.

On GitHub: https://t.co/sddRcd4OGc

#GenerativeAI

[Baka Sheddy @BakaSheddy]

1. Python : https://t.co/24mOfVt40a
2. Pandas : https://t.co/zzgkfyQCkC
3. NumPy : https://t.co/feQQUYG8V0
4. Matplotlib https://t.co/NOeOO0HhI3
5. Seaborn https://t.co/Oa0heWzhlM
6. Scikit-learn https://t.co/sJ6fZVOKM9
7. TensorFlow : https://t.co/jkiL9vmEeg

[Alex Khizhniak @alxkh]

🧙‍♂️ An overview of 17 #GenerativeAI tools helping engineers create code:
https://t.co/LT1u6DA7zc

🧮 7 alternatives to #ChatGPT for assisted coding:
https://t.co/iYYIwHjN4w

📊 What's next for developers:
https://t.co/uRRJ7PuiYL

https://t.co/QvYBooaSmw

Any other tools you know?

[Alex Khizhniak @alxkh]

Aiming to stay ahead of the #ChatGPT revolution, Amazon has announced new tools for #GenerativeAI on #AWS.

By using prebuilt foundation models, #Bedrock enables to generate text (such as blog posts), #StableDiffusion images, etc.—accessible via an API.

https://t.co/DnZ1jBuCG5

[DLabs.AI @DLabsAI]

It’s here! "𝗧𝗵𝗲 𝗧𝗼𝗽 𝟭𝟬 𝗔𝗜 𝗧𝗿𝗲𝗻𝗱𝘀 𝘁𝗼 𝗪𝗮𝘁𝗰𝗵 𝗶𝗻 𝟮𝟬𝟮𝟯" is out and waiting for you to read. 🚀
Get your report now! ⬇️
#AI #Business #ArtificialIntelligence #AITrends
https://t.co/65v7Bgo7HT

[Dion Hinchcliffe @dhinchcliffe]

The new @BostonDynamics video clearly pays lip service to #robots helping humans + not replacing them.

But soon there won’t be much they can’t do. And will unleash enormous work capacity.

Workers must be trained now to mass orchestrate these to build the future.

#FutureOfWork

[Alex Khizhniak @alxkh]

Another great report covering the state of #AI in the enterprise (by Deloitte, Oct 2022):

https://t.co/qNGYmyKJ92

Challenges, industry focus, best practices, etc.

#ArtificialIntelligence #AIML #MachineLearning #MLOps #EnterpriseTech #Innovation #CIO #CTO #DigitalTransformation

[Dion Hinchcliffe @dhinchcliffe]

Most popular use cases for #AI says new @McKinsey report:

- Service ops
- #AI-based products
- #Custserv #analytics
- Customer segmentation
- Enhancing products w/ AI
- Customer acquisition/lead gen
- #Contactcenter #automation
- Risk modeling

Source: https://t.co/zxAeJoJIpU

[Danilo Poccia @danilop]

Use machine learning to detect anomalies and predict downtime with Amazon Timestream and Amazon Lookout for Equipment 👉 Using simulated sensor signals to test your system and gain confidence before cutting over to production https://t.co/aV3TJkzu7R #AWS #MachineLearning #IoT

[IIoT World @IIoT_World]

Shortage of skilled labor is a source of widespread worry. Companies are uniformly concerned about acquiring skills related to #datascience, #IoT, & emerging areas such as #robotics. https://t.co/c2Xds9TXw6 @fabot70 @MikeQuindazzi #sponsored #hitachivantara_iiot #industry40

[Alex Khizhniak @alxkh]

Top 10 #MLOps Platforms to Manage and Optimize the #MachineLearning Lifecycle:

https://t.co/jdAB7lmapx

#AI #DataScience #AIML #Python

[Intel Network & Edge @IntelEdge]

The @BMWGroup is saying yes to “no code” solutions.

The goal is to give every #manufacturing employee the tools to develop and use #AI workloads. See how we’re working with Robotron to help make it a reality. #MachineVision

[Altoros @Altoros]

Volcano is a #CNCF incubation project helping to run #HPC workloads on #Kubernetes. The tool offers batch scheduling capabilities not provided by #K8s but typically required by #MachineLearning and #BigData workloads. Read technical details here:

https://t.co/wd5uo1qM1t

#MLOps

[Alex Khizhniak @alxkh]

The average factory generates 1TB of data/day, according to a report by Frost & Sullivan and IBM (2019). Still, <1% of that data is then analyzed. While 1hr of machine downtime can cost ~$100,000, #AI-based #Industry40 aims to address this.

https://t.co/MFM1Pv7z45

#IIoT #IoT

[Altoros @Altoros]

According to recent reports, #AI, #MachineLearning, and #EdgeComputing are the main drivers of #Kubernetes adoption. Still, companies are struggling with security, reliability, troubleshooting, scaling, updates, etc.

https://t.co/mFw2tPs0lW

#CloudNative #K8s #DevOps #MLOps #IoT

[7wdata @7wData]

#AI as a Catalyst Across Most Cycles of the #IoT
The Internet of Things (#IoT) is covering the gamut of industries: healthcare, aviation, automative industry, predictiv ..
https://t.co/P0Y2UBy6ol

[Altoros @Altoros]

Read our new article on how Osaka University cuts data center power consumption by 13% with #DeepLearning and #Kubernetes. For the purpose, the institution built an #AI-based workload allocation optimizer for #EdgeComputing.

https://t.co/sF0JW4XiKb

#K8s #ArtificialIntelligence

[Diana M @DianaMaltseva8]

Can Japan Win Over #Covid_19 with #Technology, #Automation, and #Telemedicine?
#telehealth, #japannews, #digitalhealth, #healthcare, #DigitalTransformation, #pandemic
https://t.co/9arO6xNS8f

[McKinsey Analytics @McKAnalytics]

Intelligent-automation solutions can drive efficiency, effectiveness, and decision making. But risk needs to be taken into consideration. Five tactical steps can help. ⬇️ (https://t.co/DzGzDoAdV4)

#McKinseyAnalytics #Automation #AI #Risks