IamPython
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This is Python based telegram group for web developers, Artificial intelligence, webscraping, Datascience, Data analysis, Ethical Hacking and more. You will learn lot insights and useful information
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*** Today announced Amazon Neptune Serverless, a new serverless option for Amazon Neptune that automatically scales to support unpredictable and business-critical graph database workloads. It leads to saving up to 90% compared to the cost of provisioning for peak capacity.
* AI NLP - MLOps


— Open-source framework for data-centric NLP
— Data Labeling + Data Curation + Inference Store
— Designed for MLOps & Feedback Loops


New website: https://www.argilla.io/
New docs: https://docs.argilla.io/
The registration deadline is Oct 31, 2022.

https://opencv.org/core-opencv/

If you want to register for the competition, email competition@opencv.org.

The email must include a PDF attachment.

1. Problem statement
2. Brief solution using OpenCV.
3. Team’s name and capability.

A sample PDF is shared on the link above.
🚀End-To-End Lifecycle of Machine Learning Models (in simple way)
👀👀👀No more office 365


Office is becoming Microsoft 365
Boost productivity with Microsoft Teams, Word, Excel, PowerPoint, and more—all in one place.

Microsoft 365 has many great AI powered features

The new Microsoft 365 app is coming soon

More :
https://www.microsoft.com/en/microsoft-365
Microsoft Azure recently announced the public preview of registries in Azure Machine Learning. Registries in Azure Machine Learning are organization wide repositories of machine learning assets such as models, environments, and components. Registries provide a central platform for cataloging and operationalizing machine learning models across various personas, teams and environments involved in the machine learning lifecycle.

https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-registries-in-azure-machine-learning-to/ba-p/3649242
😊🏀 Introducing Galactica. A large language model for science.

Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.

Explore and get weights: http://galactica.org
Hi,

I am not sure about how many of you familiar with mlflow which is opensource platform for MLOps.

On 15th November - new version 2.0 was released which has great features. Check in their official website

13 million monthly downloads, has become the standard platform for end-to-end MLOps

They new introduced new feature so called it as MLFlow Recipes (formerly MLFlow Pipelines )

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Raja
✍️🍀🔅Today Pytorch releasing TorchMultimodal, a new library containing models, building blocks and end to end example scripts for multimodal tasks.

FLAVA, an image text foundation model in TorchMultimodal, scales from 350M to 10B parameters using FSDP wrapping techniques.

Read more on PyTorch blog: https://bit.ly/3AAL0ka

With TorchMultimodal, Aim to make it easy for researchers to innovate and incorporate the latest trends in AI research such as multi-task learning and scaling model training through detailed examples and tutorials.
https://www.aljazeera.com/wc2022experience/. You can also practice building the models using the data sets from Kaggle. This is for your knowledge only.
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Flax: A neural network library and ecosystem for JAX designed for flexibility
there is a dedicated google search for datasets!


https://datasetsearch.research.google.com/
OpenAI invites everyone to test new AI-powered chatbot—with amusing results.

ChatGPT - a dialogue-based AI chat interface for its GPT-3 family of large language models. It's currently free to use with an OpenAI account during a testing phase.

https://openai.com/blog/chatgpt/
Google AI team released Project Relate provides tools for easier communication.

Through years of research featuring thousands of peoplerecording over a million speech samplesand using machine learning


It is in beta and only available on Android phones.

https://sites.research.google/relate/
introduce Ansible.Ai❤️

We all know that Ansible is powerful but Ansible.Ai is super powerful as it makes it easier to generate playbooks in seconds and all you need to do is tell the AI your use case and don’t stop yourself from automating your tech stack!

To get started, head over to 🔗 https://ansible.ai/
Sign-up using Email and start using the tool today🎯

You might also think about how accurate and syntactically correct the AI-generated playbooks are. Guess what! Ansible-linting does the job under the hood and before the playbooks are displayed it goes through a series of linting checks so you have to copy-paste and change values if required and hit ENTER!
PubMed GPT: a Domain-Specific Large Language Model for Biomedical Text

https://www.mosaicml.com/blog/introducing-pubmed-gpt

The Stanford Center for Research on Foundation Models (CRFM) and MosaicML announce the release of PubMed GPT, a purpose-built AI model trained to interpret biomedical language.

Large language models (LLMs) offer amazing capabilities for general-purpose natural language generation, image generation, speech synthesis, and multi-modal combinations of these applications. But is there more we can do when we know they will be used in industry-specific situations?
Lakehouse for Big and Small Data on OCI, AWS, Azure & Google Cloud