Unite.AI

APRIL 23, 2024

It was a natural choice; following a fascination for computers that started when I was just a child. Thank you for the great interview, readers who wish to learn more should visit Aiimi. The post Steve Salvin, Founder & CEO of Aiimi – Interview Series appeared first on Unite.AI.

Insight Engine 130

Insight Engine Auto-complete AI Tools AI Modeling 130

Towards AI

JULY 21, 2023

Multiple Choice Questions (MCQs)2. Part 2 – Comparing Message Passing Based GNN Architectures Before going through this report, I suggest the readers check out Part 1 – Intro to Graph Neural Networks with GatedGCN… app.wandb.ai Use it to create online educational material that poses questions to students. General FAQs4.

NLP 75

NLP Neural Network BERT Natural Language Processing 75

John Snow Labs

MAY 31, 2023

Welcome to Part II of the blog series on extracting entities from text reviews using NLP Lab. To recap, Part I covered the project creation and setup in NLP Lab, showcasing how to configure the environment and walked readers through an example of annotating text data.

NLP 64

NLP Data Ingestion Data Scientist Deep Learning 64

Unite.AI

FEBRUARY 9, 2024

This decision stemmed from a realization where I saw that my previous path was not one of personal choice but one shaped by external pressures and expectations, primarily to please my parents. Thank you for the great interview, I look forward to following your progress, readers who wish to learn more should visit MindPortal.

Large Language Models 147

Large Language Models Machine Learning Computer Vision Robotics 147

Towards AI

JULY 19, 2023

Multiple Choice Questions (MCQs)2. Part 2 – Comparing Message Passing Based GNN Architectures Before going through this report, I suggest the readers check out Part 1 – Intro to Graph Neural Networks with GatedGCN… app.wandb.ai Use it to create online educational material that poses questions to students. General FAQs4.

NLP 40

NLP Neural Network BERT Natural Language Processing 40

Arjun Srinivasan

NOVEMBER 17, 2021

The name Snowy is inspired by the namesake fictional dog in the “ Adventures of Tintin ” comic series where he addresses his internal monologue to the reader with speech bubbles. After the session, we gathered subjective feedback through a semi-structured interview and a series of Likert-scale questions.

Data Analysis 52

Data Analysis Natural Language Processing NLP 52

Dlabs.ai

APRIL 8, 2021

Build Cow Facial Recognition Most of us have used a fingerprint reader on a smartphone. These days, there’s no need to limit your choice to people. But deepfakes aren’t our only concern. For more details: check out this Dlabs article on ‘ the good and the bad of AI.’ And it’s impressive. Who’s your favorite author?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Chatbots Robotics 52

Towards AI

FEBRUARY 19, 2024

The role of Time Series Forecasting is very important in areas like finance, manufacturing, health, weather studies, and social sciences. It allows them to make smart choices in financial, marketing, and risk-related areas. This is why they’re top choices for future predictions. LGBM, XGB etc.

Machine Learning 89

Machine Learning Algorithm Neural Network Categorization 89

Unite.AI

MARCH 20, 2024

You initially made the Codeium platform entirely free for developers, what were some of the logistical and technical challenges behind this choice? The self-hosted option, despite potentially higher initial costs, emerges as a cost-effective choice in the long run. We took a risk but it quickly paid off.

Software Development 130

Software Development Deep Learning Data Scientist Automation 130

Unite.AI

SEPTEMBER 12, 2023

Here, choice of the right model—induced pluripotent stem cell-derived lines versus primary patient cell lines and tissue samples versus animal models—for the right disease poses an incredibly important set of tradeoffs that ultimately reflect on the ability of the resulting data plus machine learning to translate to patients.

Machine Learning 299

Machine Learning LLM Data Analysis Data Science 299

Unite.AI

AUGUST 4, 2023

It will reach the point where companies simply have no choice but to do their part and companies delaying action are only giving their competitors chances to catch up. They have a choice to make but inaction is letting others solve it for them. Thank you for the great interview, readers who wish to learn more should visit 15Rock.

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NLP Machine Learning AI AI 246

PyImageSearch

FEBRUARY 6, 2023

If you are a regular PyImageSearch reader and have even basic knowledge of Deep Learning in Computer Vision, then this tutorial should be easy to understand. Hence, the obvious choice for this tutorial. MobileNetV2 is a classification model developed by Google.

Auto-classification 144

Auto-classification Computer Vision Neural Network Deep Learning 144

Unite.AI

DECEMBER 1, 2023

Researchers still do great work in model-centric AI, but off-the-shelf models and auto ML techniques have improved so much that model choice has become commoditized at production time. Our programmatic approach to data-centric AI enables rapid scaling of unlabeled data by amplifying the impact of each choice.

Data Scientist 147

Data Scientist Auto-classification AI AI 147

Unite.AI

FEBRUARY 21, 2024

It’s proven to be a great choice –– the tool itself gets a ton of usage, we’ve given several public talks on how to build LLM applications, and we’ve even started working with a select group of customers to roll out internal versions of Ask Astro! If you’re interested in joining the team to help us deliver the world’s data on time, reach out!

LLM 147

LLM Data Platform Software Engineer Chatbots 147

Ofemwire

JULY 22, 2023

Whether you’re an aspiring writer, a curious reader, or simply love a good tale, these prompts will fuel your storytelling prowess and unleash the storyteller within you. Follow a time-traveling detective as they solve a series of historical mysteries throughout different eras. So let’s dive in shall we?

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

Unite.AI

JUNE 20, 2023

We identify the secret at code push, we validate it, and we push a notification to the developer in their chat tool of choice. Thank you for the great interview, readers who wish to learn more should visit Arnica. The post Nir Valtman, CEO & Founder at Arnica – Interview Series appeared first on Unite.AI.

Automation 263

Automation Software Development Machine Learning 263

Unite.AI

SEPTEMBER 14, 2023

We have lived through the two-world language problem in AI – where researchers live in Python, and production and hardware engineers live in C++ – and we had no choice but to either barrel down that road, or rethink the approach entirely. Thank you for the great interview, readers who wish to learn more should visit Modular.

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Python Algorithm AI AI 200

Towards AI

MARCH 26, 2024

While it will not begin production until late this year, Nvidia’s newly announced B100 series of GPUs will take capabilities even further — potentially 4x in training capacity (vs. Similarly, Google accelerated the deployment of TPUv5 chips (designed in partnership with Broadcom) in late 2023, and its Gemini 2.0 Why should you care?

Prompt Engineer 82

Prompt Engineer Prompt Engineering Large Language Models LLM 82

PyImageSearch

OCTOBER 2, 2023

If you’ve followed along with the previous lesson in this series , you may recall our deep dive into various utilities designed to aid in the training and analysis of deep learning models. Generating a series of images linearly spaced on the VAE’s embeddings. Let’s get started!

Computer Vision 120

Computer Vision Deep Learning Neural Network Auto-complete 120

ODSC - Open Data Science

JULY 11, 2023

1] The typical application familiar to readers is much more recent, when AI operates as chatbots, enhancing or at least facilitating the user experience on many websites. I used ChaptGPT to learn a host of things about data centers and will list those below and in Parts 2 and 3 of this series.

ChatGPT 40

ChatGPT AI AI Chatbots 40

Unite.AI

APRIL 11, 2024

I like to understand why certain choices were made, and what assumptions or conditions were there at that time and if they still hold. Thank you for the great interview, readers who wish to learn more should visit Lemurian Labs.

Robotics 162

Robotics Neural Network Algorithm AI 162

Unite.AI

JULY 26, 2023

Prompt Optimization: The cost and latency of the AI model can depend on the choice of the model and the length of the prompt (number of tokens). Rather than using traditional, direct prompts, the team makes use of a series of interconnected prompts, forming a ‘chain-of-thought.'

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Prompt Engineer Prompt Engineering ChatGPT Large Language Models 246

Artificial Corner

AUGUST 3, 2023

Ingredients of a good prompt When chatting with AI, it’s important to remember that it isn’t a mind reader. You can ask the model to act as a character from your favourite book/movie/series. It’s a simple gesture that shows your appreciation and helps both me and this story to be discovered by other readers.

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Prompt Engineer Prompt Engineering Large Language Models LLM 98

AssemblyAI

MAY 23, 2023

Transformers excel at natural language contextual understanding, making them the go-to choice for most language tasks today. For a more general discussion, readers can refer to Emergent Abilities of Large Language Models. Learn more about it in our dedicated blog series on Generative AI.

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. Table of contents: The entries should link to the notebook sections, allowing the reader to jump to the part they’re interested in. Description: What do you want to achieve in this task?

Data Scientist 52

Data Scientist Python Explainability ETL 52

AssemblyAI

MAY 3, 2023

The network's intermediate layers would process this information by applying a series of linear and non-linear operations. Virtually all current LMs are based on a particularly successful choice of architecture: the so-called Transformer model , invented in 2017. A neural network with 100 nodes and 1842 parameters (edges).

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Large Language Models Neural Network LLM Chatbots 363

Flipboard

JULY 10, 2023

This lesson is the 1st of a 4-part series on Autoencoders: Introduction to Autoencoders (this tutorial) Implementing a Convolutional Autoencoder with PyTorch (lesson 2) Lesson 3 Lesson 4 To learn the theoretical aspects of Autoencoders, just keep reading. time series or natural language processing tasks). What's next?

Computer Vision 110

Computer Vision Deep Learning Neural Network Machine Learning 110

AWS Machine Learning Blog

APRIL 3, 2023

For example, consider providing a multiple-choice question and asking the model to return the appropriate answer from the available choices. For readers who have always wished they could write in their eBooks, Amazon’s new Kindle lets them do just that. They also attach magnetically to your Kindle and never need to be charged.

Natural Language Processing 77

Natural Language Processing NLP Prompt Engineer Prompt Engineering 77

PyImageSearch

NOVEMBER 6, 2023

Home Table of Contents Image Segmentation with U-Net in PyTorch: The Grand Finale of the Autoencoder Series Introduction U-Net Framework Configuring Your Development Environment Need Help Configuring Your Development Environment? Let’s embark on this grand finale together! Looking for the source code to this post?

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

PyImageSearch

NOVEMBER 13, 2023

This lesson is the first of a 2-part series on Faster R-CNNs: Faster R-CNNs (today’s tutorial) Training a Faster R-CNN To learn about Faster R-CNNs , just keep reading. Implementing IoU by hand is outside the context of this series, although it is a fairly straightforward process.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 120

Pragnakalp

FEBRUARY 13, 2024

Apache Airflow is a top choice for managing complex data workflows. The choice of executor depends on the scale and requirements of your workflow. It’s a way to represent a workflow or a data pipeline as a series of tasks that need to be executed in a particular order.

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Metadata Python Automation NLP 52

Cold Takes

FEBRUARY 10, 2023

For a longer treatment, see How we could stumble into an AI catastrophe , and for an even longer one see the full series. The series is available in many formats, including audio; I also provide a summary, and links to podcasts where I discuss it at a high level. Perhaps the eight-year-old is a mind-reader, or even a young Professor X.)

AI 40

AI AI Neural Network Deep Learning 40

deepsense.ai

MARCH 28, 2023

This series is devoted to sharing our practical know-how of diffusion models. For a few years, the concept was gradually improved upon, and just last year there were numerous state-of-the-art publications in the domain of image-to-image, text-to-audio, and time series forecasting, just to name a few. Overview of U-Net architecture.

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Neural Network Large Language Models Deep Learning Explainability 52

Cold Takes

DECEMBER 15, 2022

Perhaps the eight-year-old is a mind-reader, or even a young Professor X.) This page has a ~10-page summary of the series, as well as links to an audio version, podcasts, and the full series. The key points I argue for in the series are: The long-run future is radically unfamiliar.

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AI AI AI Developer AI Development 84

Artificial Corner

JUNE 6, 2023

It offered advanced features like transaction control, exception and error handling, and stored procedures, making it a popular choice for business applications. They are often used in applications that require storing and analyzing large datasets, such as time-series data, logs, and content management systems. SQL Server 1.0

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Heartbeat

JULY 27, 2023

Note: This is the second part of a two part series. Well this is mostly a design choice. But the next part might shed some light on this design choice. Again since this isn’t an article on logging system resources, I leave it to the reader to figure out the code. Check out part 1 here. Logging with Comet 2.

Deep Learning 52

Deep Learning Metadata Python Explainability 52

Cold Takes

JANUARY 13, 2023

(By “transformative AI,” I mean AI powerful and capable enough to bring about the sort of world-changing consequences I write about in my most important century series.) For the latter, I recommend the rest of this series. Two key important assumptions (click to expand) are below; for more, see the rest of this series.

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AI AI Robotics AI Developer 59